Abstract
Background
Previous systematic reviews and randomised controlled trials have investigated the effect of post‐stroke trunk training. Findings suggest that trunk training improves trunk function and activity or the execution of a task or action by an individual. But it is unclear what effect trunk training has on daily life activities, quality of life, and other outcomes.
Objectives
To assess the effectiveness of trunk training after stroke on activities of daily living (ADL), trunk function, arm‐hand function or activity, standing balance, leg function, walking ability, and quality of life when comparing with both dose‐matched as non‐dose‐matched control groups.
Search methods
We searched the Cochrane Stroke Group Trials Register, CENTRAL, MEDLINE, Embase, and five other databases to 25 October 2021. We searched trial registries to identify additional relevant published, unpublished, and ongoing trials. We hand searched the bibliographies of included studies.
Selection criteria
We selected randomised controlled trials comparing trunk training versus non‐dose‐matched or dose‐matched control therapy including adults (18 years or older) with either ischaemic or haemorrhagic stroke. Outcome measures of trials included ADL, trunk function, arm‐hand function or activity, standing balance, leg function, walking ability, and quality of life.
Data collection and analysis
We used standard methodological procedures expected by Cochrane.
Two main analyses were carried out. The first analysis included trials where the therapy duration of control intervention was non‐dose‐matched with the therapy duration of the experimental group and the second analysis where there was comparison with a dose‐matched control intervention (equal therapy duration in both the control as in the experimental group).
Main results
We included 68 trials with a total of 2585 participants.
In the analysis of the non‐dose‐matched groups (pooling of all trials with different training duration in the experimental as in the control intervention), we could see that trunk training had a positive effect on ADL (standardised mean difference (SMD) 0.96; 95% confidence interval (CI) 0.69 to 1.24; P < 0.001; 5 trials; 283 participants; very low‐certainty evidence), trunk function (SMD 1.49, 95% CI 1.26 to 1.71; P < 0.001; 14 trials, 466 participants; very low‐certainty evidence), arm‐hand function (SMD 0.67, 95% CI 0.19 to 1.15; P = 0.006; 2 trials, 74 participants; low‐certainty evidence), arm‐hand activity (SMD 0.84, 95% CI 0.009 to 1.59; P = 0.03; 1 trial, 30 participants; very low‐certainty evidence), standing balance (SMD 0.57, 95% CI 0.35 to 0.79; P < 0.001; 11 trials, 410 participants; very low‐certainty evidence), leg function (SMD 1.10, 95% CI 0.57 to 1.63; P < 0.001; 1 trial, 64 participants; very low‐certainty evidence), walking ability (SMD 0.73, 95% CI 0.52 to 0.94; P < 0.001; 11 trials, 383 participants; low‐certainty evidence) and quality of life (SMD 0.50, 95% CI 0.11 to 0.89; P = 0.01; 2 trials, 108 participants; low‐certainty evidence). Non‐dose‐matched trunk training led to no difference for the outcome serious adverse events (odds ratio: 7.94, 95% CI 0.16 to 400.89; 6 trials, 201 participants; very low‐certainty evidence).
In the analysis of the dose‐matched groups (pooling of all trials with equal training duration in the experimental as in the control intervention), we saw that trunk training had a positive effect on trunk function (SMD 1.03, 95% CI 0.91 to 1.16; P < 0.001; 36 trials, 1217 participants; very low‐certainty evidence), standing balance (SMD 1.00, 95% CI 0.86 to 1.15; P < 0.001; 22 trials, 917 participants; very low‐certainty evidence), leg function (SMD 1.57, 95% CI 1.28 to 1.87; P < 0.001; 4 trials, 254 participants; very low‐certainty evidence), walking ability (SMD 0.69, 95% CI 0.51 to 0.87; P < 0.001; 19 trials, 535 participants; low‐certainty evidence) and quality of life (SMD 0.70, 95% CI 0.29 to 1.11; P < 0.001; 2 trials, 111 participants; low‐certainty evidence), but not for ADL (SMD 0.10; 95% confidence interval (CI) ‐0.17 to 0.37; P = 0.48; 9 trials; 229 participants; very low‐certainty evidence), arm‐hand function (SMD 0.76, 95% CI ‐0.18 to 1.70; P = 0.11; 1 trial, 19 participants; low‐certainty evidence), arm‐hand activity (SMD 0.17, 95% CI ‐0.21 to 0.56; P = 0.38; 3 trials, 112 participants; very low‐certainty evidence). Trunk training also led to no difference for the outcome serious adverse events (odds ratio (OR): 7.39, 95% CI 0.15 to 372.38; 10 trials, 381 participants; very low‐certainty evidence).
Time post stroke led to a significant subgroup difference for standing balance (P < 0.001) in non‐dose‐matched therapy. In non‐dose‐matched therapy, different trunk therapy approaches had a significant effect on ADL (< 0.001), trunk function (P < 0.001) and standing balance (< 0.001).
When participants received dose‐matched therapy, analysis of subgroup differences showed that the trunk therapy approach had a significant effect on ADL (P = 0.001), trunk function (P < 0.001), arm‐hand activity (P < 0.001), standing balance (P = 0.002), and leg function (P = 0.002). Also for dose‐matched therapy, subgroup analysis for time post stroke resulted in a significant difference for the outcomes standing balance (P < 0.001), walking ability (P = 0.003) and leg function (P < 0.001), time post stroke significantly modified the effect of intervention.
Core‐stability trunk (15 trials), selective‐trunk (14 trials) and unstable‐trunk (16 trials) training approaches were mostly applied in the included trials.
Authors' conclusions
There is evidence to suggest that trunk training as part of rehabilitation improves ADL, trunk function, standing balance, walking ability, upper and lower limb function, and quality of life in people after stroke. Core‐stability, selective‐, and unstable‐trunk training were the trunk training approaches mostly applied in the included trials. When considering only trials with a low risk of bias, results were mostly confirmed, with very low to moderate certainty, depending on the outcome.
Keywords: Adult, Humans, Activities of Daily Living, Hand, Hemorrhagic Stroke, Quality of Life, Stroke
Plain language summary
Trunk training for improving activities in people with stroke
Background
Stroke is a common condition that can lead to major disabilities and even death in adults. Stroke has an important impact on various aspects of human functioning, including limiting movement. One frequently observed deficit after stroke is the reduced functioning of the torso of the body. This impairment can, amongst other things, be characterised by reduced mobility, reduced sitting balance, late or reduced reactions to internal and external disturbances, reduced muscle strength and muscle activation patterns of the torso. Movements of the torso and sitting balance are both important for functional independence ‐ that is, the ability to perform daily living tasks such as dressing, eating, and grooming without help. Functioning of the torso can largely forecast the level of recovery and independence after a stroke.
Trunk training aims to regain function of the torso. Trunk training can consist of different elements, such as: strength training of the abdominal and back muscles; exercises that focus on improving the mobility of the torso; or improving lateral or forward balance while sitting, aimed at improving sitting balance.
The torso is the core of the body; it provides a stable basis for control over and movements of the head and extremities. Training of the torso may have a positive effect not only on the functioning of the torso, but also an impact on other outcomes such as activities of daily living, standing balance, walking, and well‐being.
Review question
We wanted to find out if training of the torso improves people's activities of daily living, trunk function, standing balance, well‐being, and other outcomes, after they have had a stroke.
Search date
We searched nine databases and hand searched the bibliographies of relevant studies published up to 25 October 2021.
Study characteristics
We included 68 studies in which participants were randomly divided into two or more groups, with a total of 2585 participants. The studies compared training of the torso with other therapy or no therapy after a stroke.
Key results
We found that training of the torso may result in improvements of activities of daily living, torso function, standing balance, functional use of the affected arm and hand, movements of the affected lower limb, the ability to walk, and well‐being.
Quality of the evidence
The quality of the evidence was very low to low.
Summary of findings
Summary of findings 1. Summary of findings (Non‐dose‐matched therapy in the control group).
Trunk training compared with control intervention for people after stroke | |||||
Patient or population: participants after stroke Settings: hospital, clinic, inpatient rehabilitation centre Intervention: all types of trunk training Comparison: non dose‐matched therapy | |||||
Outcomes | Outcome measures | Anticipated absolute effect (95% CI)* | No of participants (studies) | Certainty of the evidence (GRADE) | Comments |
Activities of daily living (primary outcome) | ‐ (modified) Barthel Index ‐ Functional Independence Measure |
SMD 0.96 SD higher
(0.69 higher to 1.24 higher) Analysis 1.1 |
283 (5 RCTs) | ⨁◯◯◯ VERY LOWa,b,f | |
Trunk function | ‐ Trunk Impairment Scale 1.0 & 2.0 ‐ Modified function range ‐ Trunk Control Test |
SMD 1.49 SD higher
(1.26 higher to 1.71 higher) Analysis 1.2 |
466 (14 RCTs) | ⨁◯◯◯ VERY LOWa,g,l | |
Arm‐hand activity | ‐ Rivermead Motor Assessment‐Arm Scale ‐ Manual Function Test ‐ Wolf Motor Function Test |
SMD 0.84 SD higher
(0.09 higher to 1.59 higher) Analysis 1.4 |
30 (1 RCT) | ⨁◯◯◯ VERY LOWa,c,k | |
Standing balance | ‐ Berg Balance Scale ‐ Functional Reach Test ‐ Tinetti Scale ‐ Brunel Balance Assessment |
SMD 0.57 SD higher
(0.35 higher to 0.79 higher) Analysis 1.5 |
410 (11 RCTs) | ⨁◯◯◯ VERY LOWa,d,e | |
Walking ability | ‐ 10‐Meter Timed Walk Test ‐ Walking speed ‐ Timed Up and Go Test ‐ Tinetti Scale ‐ 6‐Meter Walk Test ‐ Wisconsin Gait Scale |
SMD 0.73 SD higher
(0.52 higher to 0.94 higher) Analysis 1.7 |
383 (11 RCTs) | ⨁◯◯◯ VERY LOWa,e,j | |
Quality of life after stroke | ‐ Stroke Impact Scale 2.0 ‐ Short Form‐36 ‐ European Quality of Life ‐ Stroke‐Specific Quality of Life scale |
SMD 0.5 SD higher
(0.11 higher to 0.89 higher) Analysis 1.8 |
108 (2 RCTs) | ⨁◯◯◯ VERY LOWa,e,h | |
Death and serious adverse events, including falls | ‐ Number of falls ‐ Number of serious adverse events |
Relative effect (95% CI) OR 7.94 (0.16 to 400.89) Analysis 1.9 |
201 (6 RCTs) | ⨁◯◯◯ VERY LOWa,e,i | |
*The risk in the intervention group (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI). CI: confidence interval; OR: odds ratio; RCT: randomised controlled trials; SD: standard deviation; SMD: standardised mean differences | |||||
GRADE (Grading of Recommendations Assessment, Development and Evaluation) High certainty: further research is very unlikely to change our confidence in the estimate of effect. Moderate certainty: further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate. Low certainty: further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate. Very low certainty: we are very uncertain about the estimate. |
aRandomisation, allocation, concealment and attrition bias were not always clearly described in the included trials. Assessor blindness was usually either low or not described in sufficient detail. Blinding of personnel and study participants was not met. bSmall number of included studies and number of participants. The optimal information size has not been reached. cOnly one study dHeterogeneity was considerable (I² = 93%). eSample size was small (< 400). fHeterogeneity was considerable (I² = 93%). gHeterogeneity was considerable (I² = 89%). hHeterogeneity was present (I² = 51%). iPublication bias was strongly suspected. jRisk of bias was very strong, for which two levels were downgraded. kFor this outcome, only one trial could be included, as a result of which the item imprecision was downgraded two levels. lThe level of certainty for this outcome measure was very strongly limited for both the risk of bias and heterogeneity. For which two levels were downgraded each time.
Summary of findings 2. Summary of findings (Dose‐matched therapy in the control group).
Trunk training compared with control intervention for people after stroke | |||||
Patient or population: participants after stroke Settings: hospital, clinic, inpatient rehabilitation centre Intervention: all types of trunk training Comparison: dose‐matched therapy | |||||
Outcomes | Outcome measures | Anticipated absolute effect (95% CI)* | No of participants (studies) | Certainty of the evidence (GRADE) | Comments |
Activities of daily living (primary outcome) | ‐ (modified) Barthel Index ‐ Functional Independence Measure |
SMD 0.10 SD lower (0.17 lower to 0.37 higher) Analysis 2.1 |
229 (9 RCTs) |
⨁◯◯◯ Very lowa,b,c | |
Trunk function | ‐ Trunk Impairment Scale 1.0 & 2.0 ‐ Modified function range ‐ Trunk Control Test |
SMD 1.03 SD higher (0.91 higher to 1.16 higher) Analysis 2.2 |
1217 (36 RCTs) |
⨁◯◯◯ Very lowa,g,i | |
Arm‐hand activity | ‐ Rivermead Motor Assessment‐Arm Scale ‐ Manual Function Test ‐ Wolf Motor Function Test |
SMD 0.17 SD higher (‐0.21 lower to 0.56 higher) Analysis 2.4 |
112 (3 RCTs) |
⨁◯◯◯ VERY LOWa,c,d |
|
Standing balance | ‐ Berg Balance Scale ‐ Functional Reach Test ‐ Tinetti Scale ‐ Brunel Balance Assessment |
SMD 1.00 SD higher (0.86 higher to 1.15 higher) Analysis 2.5 |
917 (22 RCTs) |
⨁◯◯◯ Very lowa,e,j | |
Walking ability | ‐ 10‐Meter Timed Walk Test ‐ Walking speed ‐ Timed Up and Go Test ‐ Tinetti Scale ‐ 6‐Meter Walk Test ‐ Wisconsin Gait Scale |
SMD 0.69 SD higher (0.51 higher to 0.87 higher) Analysis 2.7 |
535 (19 RCTs) |
⨁⨁◯◯ Lowa,i | |
Quality of life after stroke | ‐ Stroke Impact Scale 2.0 ‐ Short Form‐36 ‐ European Quality of Life ‐ Stroke‐Specific Quality of Life scale |
SMD 0.70 SD higher (0.29 higher to 1.11 higher) Analysis 2.8 |
111 (2 RCTs) |
⨁◯◯◯ Very lowc,f,i | |
Death and serious adverse events, including falls | ‐ Number of falls ‐ Number of serious adverse events |
Relative effect (95% CI) OR 7.39 (0.15 to 372.38) Analysis 2.9 |
378 (10 RCTs) | ⨁⨁◯◯ Lowa,k | |
*The risk in the intervention group (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI). CI: confidence interval; OR: odds ratio; RCT: randomised controlled trials; SD: standard deviation; SMD: standardised mean differences | |||||
GRADE (Grading of Recommendations Assessment, Development and Evaluation) High certainty: Further research is very unlikely to change our confidence in the estimate of effect. Moderate certainty: Further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate. Low certainty: Further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate. Very low certainty: We are very uncertain about the estimate. |
aRandomisation, allocation, concealment and attrition bias were not always clearly described in the included trials. Assessor blindness was usually either low or not described in sufficient detail. Blinding of personnel and study participants was not met.
bHeterogeneity was considerable (I² = 84%).
cSample size was small (< 400).
dHeterogeneity was considerable (I² = 88%).
eHeterogeneity was considerable (I² = 88%).
fHalf of the risk of bias from all items were scored as unclear or high risk of bias.
gHeterogeneity was present (I² = 74%).
iRisk of bias was very severe for which two levels of certainty were downgraded.
jThe level of certainty for this outcome measure was very strongly limited for both the risk of bias and heterogeneity. For which two levels were downgraded each time.
kPublication bias was strongly suspected.
Background
Description of the condition
Stroke can be a devastating condition and, although progress has been made in understanding and treating it, it is still the second leading cause of death worldwide and the second most common cause of disability‐adjusted life‐years (GBD 2019). Stroke can affect vision, cognition, communication, and sensorimotor function. Even within this last domain, stroke can induce a wide range of deficits, from none or very minor deficits, to a complete paralysis of the affected side of the body, and even bilateral impairments.
One frequently‐observed motor consequence is reduced trunk function, due to, for example, decreased co‐ordination, decreased mobility or activation, decreased strength of the trunk muscles, or decreased position sense. These contribute to sitting balance deficits (Lee 2015; Verheyden 2004), particularly observed in the early stages after a stroke, but this can also occur in the later stages.
Impaired trunk components, such as decreased trunk co‐ordination, muscle strength and endurance, position sense and sitting balance, have a negative impact on trunk function. Trunk function provides the ability to sit and remain upright against gravity. It also ensures moving the trunk and body freely, adopting different sitting positions, and performing seated reach without losing balance. Furthermore, adequate trunk function is a key requirement for the upper and lower part of the trunk to move separately from each other in a co‐ordinated manner, for instance, whilst walking (Davies 1990; Karthikbabu 2011; Verheyden 2004). The trunk provides a stable basis for movements of the head and extremities. Additionally, the trunk can be used dynamically during, for example, transfers, reaching movements, and gait. Therefore, impaired trunk components not only affect the functioning of the trunk but also the performance of daily life activities.
Adequate trunk function is the result of different core components, including balance, muscle function, co‐ordination, and position sense. A stroke can have an impact on one or more of these components.
In the early phase after stroke, researchers have observed reduced stability and a greater sway in sitting (Harley 2006). While performing a forward reach task, displacement of the centre of pressure decreased in people who had a stroke event (Messier 2004). When people who had been severely affected by stroke reached forward in an upright‐seated position, the erector spinae muscles on the paretic side showed significantly higher activity than on the non‐paretic side. On the other hand, the rectus abdominis muscles on the paretic side were found to be significantly less active than on the non‐paretic side (Dickstein 1999). This is assumed to be related to the reduced trunk muscle strength reported previously (Bohannon 1992). Later in the rehabilitation process, trunk weakness is still detectable (Quintino 2018). Moreover, Lee and colleagues reported that the abdominal muscles were significantly thinner on the paretic side, and that the ratio between the thickness during rest and contraction of the abdominal muscles was significantly lower on the paretic side (Lee 2018). However, until now, the direct consequences of changed muscle thickness for motor movements control have not been evaluated. Stroke leads to a change in muscle morphology. Moreover, it is suggested that with the immobility after stroke, there may be a shift towards greater usage of fast muscle fibres of the trunk (Hafer‐Macko 2008), and possibly a change in muscle activation pattern (Chen 2021; Wohlfarth 2014). Therefore, stroke will also have an effect on trunk muscle control and timing of muscle activation. Finally, compared to healthy, age‐matched people, those who had experienced a stroke had an altered position sense of the trunk (Ryerson 2008).
Clinically, rehabilitation of trunk function is a key milestone in recovery, meaning that people after stroke should be able to sit unsupported on a bed or plinth with their trunk and head in an upright position (Smith 1999). Both trunk function and sitting balance are strongly correlated with functional independence (Di Monaco 2010; Santos 2019; Verheyden 2006), and are significant and independent predictors of motor (Smith 2017; Veerbeek 2011), and functional outcome (Hsieh 2002; Verheyden 2007). Regaining trunk function with trunk training is therefore warranted, and the importance of trunk training is recognised in the literature (Alhwoaimel 2018; Bank 2016; Cabanas‐Valdés 2013; Sorinola 2014; Souza 2019; Van Criekinge 2019a). Because it is an important milestone in rehabilitation, trunk training receives most attention in the acute and early rehabilitation phase (Smith 1999). Yet, even in a later phase (i.e. more than six months after stroke), there can still be considerable impairment in trunk function (Lee 2015; Verheyden 2004) and, interestingly, studies have often focused on this later stage (Jung 2017; Karthikbabu 2018a; Sheehy 2020). Thus, trunk training may be beneficial for people in all phases after stroke.
Description of the intervention
Trunk training aims at promoting the neuromuscular control, co‐ordination, strength, and endurance of trunk muscles, thereby providing a stable base for selective and co‐ordinated movements of (a part of) the trunk, the head, or extremities. The specific approach can vary in the different rehabilitation phases. Trunk training can have an influence not only on trunk muscle thickness symmetry, but it can also improve the muscle activation pattern of different muscle groups (Jung 2016b). Training can improve anticipatory adjustments as reaction to internal or external perturbations (Hwang 2013; Pereira 2014), and trunk training could restore trunk dissociations while walking (Van Criekinge 2020). All these factors could have an influence on trunk function and, correspondingly, improve activities of daily living.
Early after stroke, trunk training might be undertaken in a lying or sitting position. Objectives of training are to increase trunk and body muscle activation during transfers, improve efficient muscle activation patterns, improve an upright and aligned position, and stimulate dynamic sitting balance and trunk control. The latter will result in adequate weight‐shifts and the ability to reach using the upper limb within the limits of stability. Improved co‐ordination results in better selective movements of the shoulder and pelvic girdle. If basic transfers, reaching, and sitting balance are achieved, therapy goals will shift towards improving muscle strength, achieving a wider range of movements in sitting, including more dynamic ability and improved dual task skills, which are required for activities of daily living.
The literature describes a diverse range of trunk training approaches (Alhwoaimel 2018; Bank 2016; Cabanas‐Valdés 2013; Sorinola 2014; Souza 2019; Van Criekinge 2019a). Seven broad approaches can be distinguished: 1) core‐stability training; 2) electrostimulation; 3) selective‐trunk training; 4) sitting‐reaching training; 5) static inclined‐surface training; 6) unstable‐surface training; and 7) weight‐shift training.
Core‐stability training is the isometric strengthening of the trunk muscles; that is, the musculature of the pelvic and hip girdle, lumbar, abdominal, cervical, and periscapular muscles (e.g. Yoo 2010). Electrostimulation targets one or more of these core muscles (e.g. lumbar, abdominal, cervical, and periscapular muscles) with electrophysiological stimulation (e.g. Ko 2016). Selective‐trunk training aims to improve co‐ordinated movements in the frontal, sagittal, and horizontal planes of the upper (shoulder girdle) and lower (pelvic girdle) parts of the trunk, through voluntary trunk activation (e.g. An 2017). Training by use of sitting‐reaching therapy focusing on improving sitting balance by reaching beyond arm's length with the non‐affected hand, in different directions (e.g. Ada 2006). During static inclined‐surface training, the person remains on a fixed, static inclined surface while performing voluntary trunk activation (e.g. Fujino 2015). Unstable‐surface therapy is the therapeutic approach of training voluntary trunk activation on an unstable or moving surface that causes constant perturbations; for example, on a physio ball or a mechanical device (e.g. Karthikbabu 2011a). Finally, weight‐shift training involves shifting the body weight in a single direction to the limits of sitting ability (e.g. Jung 2016a).
A summary of evidence is needed to provide both an overview of the effects of trunk training and an assessment of the individual types of trunk training.
How the intervention might work
The trunk is the core of the body. In that core, both active (muscles) and passive (tendons, fascia) tissues of the trunk provide one functional cooperating unit. Forces are generated and transferred leading to a stable and mobile base (La Scala Teixeira 2019). Therefore, the trunk has a key role in stabilising the body during movements of the head and extremities, and provides support during sitting‐balance (Houglum 2012; Wee 2015). After a stroke, trunk muscle strength is reduced compared to healthy controls (Silva 2015; Tanaka 1998), leading to impaired trunk function and sitting‐balance. Trunk training focusing on improving trunk and core muscle strength to improve sitting‐balance, which is advantageous for enhancing basic activities of daily living.
In a cross‐sectional study, a relationship between decreased trunk function and poor standing balance, mobility, and functional ability was observed (Verheyden 2006). Furthermore, initial trunk function is a predictor of functional performance (Duarte 2002; Hsieh 2002; Verheyden 2007). Trunk training could improve trunk function, but could also positively influence other components of the International Classification of Functioning, Disability and Health (ICF) framework (WHO 2001), such as mobility, balance, and functional outcome and, potentially, quality of life after stroke (Smith 2017; Veerbeek 2011).
Trunk training may increase the size and strength of trunk muscles, and this could have a positive influence on trunk muscle endurance (Van Criekinge 2019b). This may improve sitting‐balance, evolving from adequate static sitting‐balance to appropriate dynamic sitting‐balance and refining trunk co‐ordination with increased limits of stability, resulting in a positive effect on activities of daily living (such as washing and self‐care).
Due to the association between trunk function and standing balance and mobility (Duarte 2002; Hsieh 2002; Isho 2016; Verheyden 2006; Verheyden 2007), an improvement in trunk function could positively impact activities such as walking up the stairs or taking a shower or bath, and thus have a positive effect on activities of daily living.
Why it is important to do this review
So far, we have identified five literature reviews investigating the effect of trunk training. An overview of the published reviews is presented in Table 3. Cabanas‐Valdés and colleagues included 11 trials in their review. They did not perform a meta‐analysis, but their summary indicated that trunk training had a moderate positive effect on trunk function (Cabanas‐Valdés 2013). Sorinola 2014 included six trials, conducted a meta‐analysis, and concluded that sitting balance and trunk training had no effect on trunk function. In contrast, Alhwoaimel 2018, which included 17 trials, performed a meta‐analysis that showed a large effect of trunk training on trunk function. A recent review combined 22 trials and also noted a large effect on trunk outcome (Van Criekinge 2019a). The most recent review assessed the effect of trunk training in the first three months after stroke. The authors included nine trials and found a significant effect of trunk training on trunk outcome (Souza 2019).
1. Overview of published reviews on trunk training.
Review | Cabanas‐Valdés 2013 | Sorinola 2014 | Alhwoaimel 2018 | Van Criekinge 2019 | Souza 2019 |
Aim | To evaluate the effectiveness of trunk training exercises on trunk performance, sitting balance, standing balance, and gait | To establish the efficacy of additional trunk exercise on trunk function, balance, walking ability, and functional independence early after stroke | To evaluate the effects of trunk training on trunk control and upper extremity function | To study effectiveness of trunk training on standing balance, and mobility | To assess the impact of the addition of specific inpatient trunk training in the first 3 months after stroke |
Type of studies | RCTs | RCTs | RCTs | RCTs | RCTs |
Clear distinction made in which experimental group receives additional therapy | No Therapy intervention in control group was a combination of no therapy, non‐dose‐matched therapy and dose‐matched therapy. |
No Therapy intervention in control group was a combination of no therapy, non‐dose‐matched therapy and dose‐matched therapy. |
No Therapy intervention in control group was a combination of no therapy, non‐dose‐matched therapy and dose‐matched therapy. |
No Therapy intervention in control group was a combination of no therapy, non‐dose‐matched therapy and dose‐matched therapy. |
No Therapy intervention in control group was a combination of no therapy, non‐dose‐matched therapy and dose‐matched therapy. |
Number of studies included | 11 studies (317 participants) |
6 studies (155 participants) |
17 studies (599 participants) |
22 studies (788 participants) |
9 studies (358 participants) |
Evaluation of quality of evidence | PEDro score | PEDro score | PEDro score | PEDro score | PEDro score |
Evaluation of risk of bias | No | Yes Cochrane risk of bias tool |
Yes Cochrane risk of bias tool |
No | Yes Cochrane risk of bias tool |
Performed meta‐analysis | No Narrative review |
Yes | Yes | Yes | Yes Performed on limited number of studies, with same outcome measure |
Distinction between type or therapy | Yes Sitting‐reaching training and selective‐trunk training |
No | No | No | No |
Last search date | November 2012 | July 2012 | February 2017 | January 2019 | December 2017 |
Evaluated outcomes | |||||
Trunk function | Yes 10 RCTs |
Yes 6 RCTs |
Yes 17 RCTs |
Yes 20 RCTs |
Yes 8 RCTs |
Standing balance | Yes 6 RCTs |
Yes 2 RCTs |
No | Yes 6 RCTs |
Yes 4 RCTs |
Gait | Yes 5 RCTs |
Yes 3 RCTs |
No | Yes 8 RCTs |
No |
Functional performance | No | Yes 2 RCTs |
No | No | No |
Upper limb outcomes | No | No | Yes No studies included |
No | No |
Activities of daily living | No | No | No | No | No |
Quality of life | Yes 1 RCT |
No | No | No | No |
Adverse events | No | No | No | No | No |
Other outcomes | No | No | No | No | No |
Conclusion | Moderate evidence to improve trunk performance and quality of life Trials were inconclusive about outcome on gait and balance. |
Moderate, non‐significant effect on trunk function, large effects on standing balance, small, non‐significant effect on functional independence |
Large significant effect on trunk performance | Large significant effect on trunk control, standing balance and mobility | Significant improvement in trunk control and balance |
PEDro: Physiotherapy Evidence Database (PEDro)‐scale RCT: randomised controlled trial
All reviews investigated the effect of training on trunk function. Four reviews included outcome measures other than trunk function, such as standing balance, gait, and functional performance (Cabanas‐Valdés 2013; Sorinola 2014; Souza 2019; Van Criekinge 2019a). By using different search strategies and analyses, all concluded that trunk training had a positive effect on balance, varying from a small to a huge effect. However, some reviews were based on a limited number of trials. Therefore, caution in generalising this conclusion is still necessary. The aim of one review was to examine the effect of trunk training on arm‐hand performance. However, no studies could be included for the analysis (Alhwoaimel 2018). Sorinola 2014 investigated the effect of trunk training on functional performance, and included two trials with a total of 42 participants. They reported that trunk function was not effective for improving functional outcome, measured by the Functional Independence Measure.
Trunk training is a fast‐growing field of research, warranting a comprehensive synthesis of the literature. In previous research, the same outcome parameters were examined, such as trunk function, standing balance, and gait. Only two reviews conducted meta‐analyses to evaluate the effect of trunk training on other outcome parameters (Alhwoaimel 2018; Sorinola 2014). No other recent review used a meta‐analysis to examine whether trunk training could positively improve activities of daily living.
An important common element in the previous reviews is that the data of both dose‐matched and non‐dose‐matched comparisons were included in their analyses. Combining these different types of control therapy and therefore not making a distinction between amount of therapy in both groups, induces noise in the analyses' variation. The effect of trunk training should best be evaluated in separate analyses, based on the amount of therapy in the control group. This has not been examined so far, and could impact upon the results. This review will distinguish between dose‐matched therapy (same duration of therapy in the experimental and control intervention) and non‐dose‐matched therapy (different duration of therapy in the experimental and control intervention).
The majority of the reviews cited above only described the type of trunk therapy used in the included trials. In the literature, three reviews examined the effect of distinct trunk training approaches (Cabanas‐Valdés 2013; Cabrera‐Martos 2020; Van Criekinge 2019a). Cabanas‐Valdés 2013 provided a descriptive summary of review results of both sitting balance training and trunk exercises. One review, with 14 included trials, evaluated the effect of trunk training predominantly using core stability and found that core‐stability training improved outcome on the Trunk Impairment Scale (6 trials), a scale for evaluation trunk function, but not on the Berg Balance scale (5 trials), a scale for evaluating basic functional balance (Cabrera‐Martos 2020). Van Criekinge 2019a studied the effect of trunk training using unstable‐surface training. Unstable‐surface training had a positive effect on sitting balance (3 trials) and a positive effect on gait performance (2 trials).
In conclusion, this Cochrane Review is important because it describes and synthesises the current evidence from 68 trials about the effects of trunk training after stroke on different outcomes. In contrast to other reviews, we assessed the effects of trunk training on activities of daily living, the different types of trunk training, training in the different phases after stroke, and trunk training compared to no therapy (non‐dose‐matched comparison) or to other therapy (dose‐matched comparison) in separate analyses. Finally, we plan to keep this Cochrane Review up‐to‐date, assuring permanent state‐of‐the‐art evidence synthesis in this intensively‐studied research field.
Objectives
To (1) assess the effectiveness of trunk training after stroke on activities of daily living (ADL), trunk function, arm‐hand function or activity, standing balance, leg function, walking ability, and quality of life for both dose‐matched or non‐dose‐matched control groups and (2) determine the effectiveness of the most frequently used trunk training approaches.
Methods
Criteria for considering studies for this review
Types of studies
We included only randomised controlled trials (RCTs). Cross‐over randomised controlled trials were not included.
Types of participants
We included studies with adult participants (18 years or older) with either ischaemic or haemorrhagic stroke. We excluded trials including other diseases in addition to stroke, unless they reported separate results for the stroke participants of interest.
Types of interventions
We included trials that compared any type of trunk training (experimental group) versus no therapy, non‐dose‐matched, or dose‐matched control therapy (control group). To improve the certainty that the effects evaluated in this review could be attributed to trunk training, we only included trials in which the trunk was trained specifically, as described in the types of trunk training in the Background section. If trunk training was embedded in a broader training concept, such as circuit training or a general strength programme, we did not include that study in this review.
Our primary interest was trunk training provided in a seated or lying position. The participants could be positioned on a stable or unstable surface, and could be lying in a supine, crooked, or sideways position. We expected a wide variability in types of trunk training interventions. To give a clear overview, we described the following types of trunk training:
core‐stability training;
electrostimulation;
selective‐trunk training;
sitting‐reaching training;
static inclined‐surface training;
unstable‐surface training;
weight‐shift training; and
other types of training.
We also included studies that aimed to improve trunk function where the intervention was performed partly in a standing position, but only when therapy was primarily conducted in a seated or lying position (about two‐thirds of therapy time). Since we only investigated the effect of physical trunk training, we did not include pharmacological or surgical interventions.
Types of outcome measures
We expected that the RCTs would have used different instruments to evaluate the outcome measures of interest. We extracted data if the trials reported the outcome using the below‐listed scales, or if they reported the data using a comparable rating scale. We assigned the outcome measures to the levels defined in the ICF model (WHO 2001).
We examined if the effect of trunk training was reported on:
The level of body function, including: trunk function, leg and arm‐hand function, and standing balance;
The level of activity and participation, including: activities of daily living, arm‐hand activity, walking ability, and quality of life;
Death and serious adverse events, including falls.
The primary outcome was activities of daily living (ADL), whereas secondary outcome measurements were related to body function, activity and participation level, and adverse events. We restricted our data extraction for our primary and secondary outcome measures to the time point immediately after the intervention.
Primary outcomes
Activities of daily living: measured by the Barthel Index (Mahoney 1965), or modified Barthel Index (Collin 1988). This scale was the priority scale for data extraction, after which we considered the Functional Independence Measure (FIM) (Keith 1987), the Reintegration to Normal Living Index (RNLI; Wood‐Dauphinee 1988), and other comparable outcome parameters.
Secondary outcomes
Trunk function: if the trial measured trunk function, sitting‐balance, or both using the Trunk Impairment Scale (TIS; Verheyden 2004), we extracted these results as the priority scale, followed by data on the Trunk Control Test (Collin 1990), and modified Functional Reach Test (Duncan 1990), or a comparable measure.
Arm‐hand function: we prioritised the Fugl‐Meyer Assessment (upper extremity) (Fugl‐Meyer 1975), or used data from a corresponding measure if the trial did not report this measure of choice.
Arm‐hand activity: we preferred data from the Action Research Arm Test (ARAT) (Lyle 1981), followed by the upper limb Chedoke‐McMaster Stroke Assessment (Moreland 1993), or a comparable measure.
Standing balance: we extracted data from the Berg Balance Scale as our measure of choice (Berg 1992), or the balance part of the Tinetti Scale (Tinetti 1986), or a comparable measure.
Leg function: we favoured data from the Fugl‐Meyer Assessment (lower extremity) (Fugl‐Meyer 1975), or included data from a comparable measure.
Walking ability: first, we looked at whether data were available that evaluated walking speed. Priority went to data measured with the 10‐Meter Timed Walk Test (Collen 1990), followed by data from the Timed Up and Go Test (Mathias 1986), or a comparable measure. If the trial had not undertaken a gait‐speed evaluation, we extracted data from other scales, such as (but not limited to) the gait part of the Tinetti Scale (Tinetti 1986), or Functional Ambulation Categories (Holden 1984).
Quality of life: we collected data from the Stroke Impact Scale as our priority scale (Duncan 1999), or included similar quality of life outcomes.
Death and/or serious adverse events, including falls.
We expected that the included trials might report a variety of other outcome measures. Therefore, we listed all other outcome measures of the included trials in Description of the intervention.
Search methods for identification of studies
See the methods for the Cochrane Stroke Group 'Specialised register'. We searched for trials in all languages and arranged for the translation of relevant articles where necessary.
Electronic searches
We searched the Cochrane Stroke Group trials register and the following electronic databases.
Cochrane Central Register of Controlled Trials (CENTRAL; latest issue, last searched 25 October 2021) in the Cochrane Library (Appendix 1);
MEDLINE Ovid (from 1946 to 25 October 2021) (Appendix 2);
Embase Ovid (from 1974 to 25 October 2021) (Appendix 3);
CINAHL (Cumulative Index to Nursing and Allied Health Literature) (from 1982 to 25 October 2021) (Appendix 4);
PEDro (from 1900 to 25 October 2021) (Appendix 5);
Scopus (from 1996 to 25 October 2021) (Appendix 6);
SPORTDiscus EBSCO (from 1982 to 25 October 2021) (Appendix 7);
ProQuest Dissertations and Theses (from 1997 to 25 October 2021) (Appendix 8).
We modelled the search strategies for databases on the search strategy designed for MEDLINE (Appendix 2), in consultation with the Cochrane Stroke Group's Information Specialist. We combined all search strategies deployed with subject strategy adaptations of the sensitive search strategy designed by Cochrane for identifying randomised controlled trials, as described in the Cochrane Handbook for Systematic Reviews of Interventions (Lefebvre 2019).
We searched the following ongoing trials registers.
US National Institutes of Health (NIH) Ongoing Trials Register: ClinicalTrials.gov (www.clinicaltrials.gov/) (Appendix 9);
World Health Organization (WHO) International Clinical Trials Registry Platform (ICTRP) (who.int/ictrp/en/) (Appendix 10).
Searching other resources
In an effort to identify further published, unpublished, and ongoing trials, we:
handsearched the bibliographies of included studies and any relevant systematic reviews for further references to relevant trials;
used Google Scholar to forward track relevant references (scholar.google.co.uk/);
contacted original authors for clarification and additional data if trial reports were unclear;
contacted experts/trialists/organisations in the field to obtain additional information on relevant trials where necessary;
conducted a search of various additional supplementary sources using the Canadian Agency for Drugs and Technologies in Health (CADTH) Grey Matters checklist (www.cadth.ca/resources/finding-evidence/grey-matters) (from 1989).
Data collection and analysis
Selection of studies
Two review authors (LT and SD) independently screened titles and abstracts of the references obtained from our searching activities, and excluded obviously irrelevant reports.
We retrieved the full‐text articles for the remaining references. Two review authors (LT and EV) independently screened these full‐text articles, identified studies for inclusion, and identified and recorded reasons for exclusion of the ineligible studies. We resolved any disagreements through discussion or, if required, we consulted a third person (GV).
We collated multiple reports of the same study so that each study, not each reference, was the unit of interest in the review. We recorded the selection process and summarised it using a PRISMA flow diagram (Liberati 2009). We used Covidence for text screening and de‐duplication of the citations (Covidence 2017).
Data extraction and management
Two review authors (LT and EV) independently extracted data from included studies using an extraction form. We obtained information about trial publication and participants, eligibility criteria, intervention(s), and results from both the experimental and control group. We used Covidence for data extraction (Covidence 2017).
We extracted data for our primary and secondary outcomes. We included trials investigating stroke and other pathologies simultaneously only if they provided outcome data separately for people with stroke.
We collected the following information about the trials' participants.
Age (mean and standard deviation (SD));
Number of participants;
Sex;
Type and location of the stroke event;
Stroke severity at baseline, by means of the National Institutes of Health Stroke Scale (NIHSS) or comparable scale;
Hyper‐acute treatment of stroke;
Presence of other stroke‐related impairments, such as aphasia, neglect, or hemianopia;
Comorbidity at baseline;
Time after stroke (mean and SD) in days, weeks, or months at the start of the intervention.
We recorded the following study details: mono‐ vs multicentre study, geographical location, and setting.
The data analysis was done in two main analyses: one analysis (1) in which the experimental group was offered more therapy in the form of trunk training than the control group (non‐dose‐matched trunk training in control group); another analysis (2) in which the experimental group was offered the same amount of therapy in the form of trunk training than the control group (dose‐matched trunk training in control group). The amount of therapy was determined by two independent investigators (LT and EV) who reviewed the time of therapy in minutes for each study.
To evaluate the effect of different types of trunk training on trunk function, we divided the trunk training intervention into eight categories (See Types of interventions for the definitions). Two independent investigators (LT and EV) reviewed the intervention for each study and classified it into the appropriate type of training. A third author (GV) reviewed this if there was disagreement. If an included study combined two or more types of training in the experimental intervention, the classification of type of trunk approach was then based on the major approach used in that trial. This was indicated by the two independent investigators.
We collected the following details of the interventions.
Type of intervention;
Length of intervention in minutes, days, or weeks;
Total number of repetitions in the experimental and control group;
Total minutes of intervention in the experimental and control group;
Total minutes of conventional therapy in both groups.
We used mean time since stroke plus the intervention period to classify trials according to post‐stroke phase (Bernhardt 2017).
(Hyper) acute: from within the first 24 hours up to seven days;
Early subacute: from seven days up to three months;
Late subacute: more than three months up to six months;
Chronic phase: more than six months post stroke.
The mean time post stroke plus the period of intervention had to be within one of the above‐mentioned phases to be considered for analysis by phase after stroke.
To enhance transparency, we used the Template for Intervention Description and Replication (TIDieR) checklist for each included intervention to provide details of the experimental therapy (Hoffmann 2014).
We presented all outcome data in additional tables for both the intervention and control groups.
Assessment of risk of bias in included studies
Two review authors (LT and EV) independently assessed the risk of bias for each study, using the criteria outlined in the Cochrane Handbook for Systematic Reviews of Interventions (Lefebvre 2021).
We resolved any disagreement by discussion or by involving a third review author (GV). We assessed the risk of bias according to the Cochrane risk of bias tool for randomised trials, evaluating the following domains.
Random sequence generation;
Allocation concealment;
Blinding of participants and personnel;
Blinding of outcome assessment;
Incomplete outcome data;
Selective outcome reporting;
Other bias (selection bias, performance bias, detection bias and attrition bias).
We graded the risk of bias for each domain as high, low, or unclear. We included a justification along with relevant information from the study report in the risk of bias tables.
Review authors did not evaluate the risk of bias for studies in which they participated as an author. The study conducted by review authors was evaluated by two other review authors (BE and JM), who were not involved in this study.
Measures of treatment effect
For dichotomous data, we calculated and reported odds ratios (ORs) with 95% confidence intervals (CIs). For continuous outcomes, we calculated standardised mean differences (SMDs) with 95% CIs if studies measured the same outcome using different scales, or used mean differences (MDs) and 95% CIs when all studies applied the same measurement scale. MDs provide more clinically relevant information, so we conducted a separate analysis to combine data for any outcome where more than six trials used the same measurement scale, and displayed results as MD with 95% CIs (Fu 2010). To ensure that the meta‐analysis is clinically meaningful, we only combined trials when we judged participants, interventions, and outcomes to be sufficiently similar. If trials were not sufficiently similar, we included a narrative summary of the trial.
We extracted or calculated the change score (mean and SD) from the pre‐ and post‐intervention time point for each available outcome measure. If a study provided the data as median and interquartile range, we converted the data to mean change score and SD for large studies (with more than 100 participants in each group). For trials with smaller sample sizes (< 100 participants), we did not consider median and interquartile range data further, under the hypothesis that data are skewed and not normally distributed (Higgins 2021a; Wan 2014). In one study, none of trials were converted from median to mean values due to the small sample sizes (Liu 2020).
Unit of analysis issues
We considered two unit of analysis issues in this review:
cluster‐randomisation; and
inclusion of trials with multiple intervention arms.
We considered the inclusion of a cluster‐randomised trial; however, we planned to apply the methods of analysis recommended in the Cochrane Handbook for Systematic Reviews of Interventions (Higgins 2021b).
If trials studied multiple interventions, we only included the results if the trial presented data of the different interventions that were relevant to this review separately. To avoid double counts, we did not include a study with multiple interventions in the same subgroup forest plot. If both interventions were relevant, we pooled the groups by combining the means and SDs, as recommended in Chapter 6 in the Cochrane Handbook for Systematic Reviews of Interventions (Higgins 2021a). We applied the same approach when a trial compared the same type of intervention but with a different therapy amount.
Dealing with missing data
We contacted study authors to acquire missing data.
When a study presented mean change‐from‐baseline scores but did not report the SDs, we first contacted the authors of the RCT to request the missing data. If we did not receive a response, we calculated the SDs using the pooled correlation coefficient as described in Chapter 6 in the Cochrane Handbook for Systematic Reviews of Interventions(Higgins 2021a).
Assessment of heterogeneity
We calculated the I2 statistic to measure heterogeneity among the trials for each outcome and each analysis (Higgins 2003). We considered an I2 greater than 75% as a considerable level of heterogeneity. In such a scenario, we explored the potential sources of heterogeneity as recommended in Chapter 10 in the Cochrane Handbook for Systematic Reviews of Interventions(Deeks 2022).
Assessment of reporting biases
We avoided reporting bias primarily by using an extensive search strategy of multiple databases and handsearching of reference lists. Furthermore, we evaluated reporting bias for the outcome measures where we included more than 10 trials by visual inspection of funnel plots. In case doubt remained, and if more than 10 trials were included, we conducted Eggers' Regression Test for funnel plot asymmetry (P < 0.05) (Sterne 2005).
Data synthesis
We pooled the results of all eligible studies to present an overall estimate of the effect of trunk training on all outcome measures and according to type of training and phase after stroke, where possible. We conducted different meta‐analyses for the outcome of each type of training.
In the overall estimate of the effect of trunk training, we conducted two main analyses. A first analysis included studies investigating the effect of (additional) experimental training versus no control training (non‐dose‐matched therapy in the control group). A second analysis investigated the effect of (additional) experimental training versus dose‐matched (additional) control training.
We performed statistical analyses within Cochrane’s Review Manager software, RevMan Web. We applied a fixed‐effect model for continuous outcomes to avoid assigning larger studies less relative weight and smaller studies more relative weight (Borenstein 2021; Deeks 2022). For dichotomous data, analysis was conducted using a fixed‐effect model. We expected only a few included studies and only rare events; for this scenario, the Peto odds ratio method is described to be less biased and more powerful than other methods (Deeks 2022).
Subgroup analysis and investigation of heterogeneity
If heterogeneity was high (I2 > 75%), we conducted a subgroup analysis for time post stroke on all outcomes and performed a meta‐regression, if possible, to identify the moderators, as described below for all outcomes.
We undertook a subgroup analysis for the post‐stroke phases indicated earlier (see Data extraction and management for the definition of phases post stroke). We only considered a subgroup analysis if we could include at least six studies for continuous data and four for categorical data (Fu 2010). This lower number of studies (compared to the rule of thumbs included in the Cochrane handbook) allows meta‐regression to be carried out earlier, since the number of trials in the various trunk training therapy approaches and time post stroke is limited (Fu 2010).
We used the test for subgroup differences to evaluate whether the two subgroups differed significantly from each other (P < 0.05).
To evaluate the effect of the different trunk training approaches, we conducted two analyses: a first analysis of trials where non‐dose‐matched comparisons were included and a second analysis of trials where the two groups received dose‐matched therapy. We interpreted the results when we could include two or more trials for that type of training, with respect to the difference in training amount between the intervention and control groups.
We assessed the influence of potential effect moderators (explanatory variables). These variables may have an influence on the effect size of the intervention. We calculated the influence of moderators using a meta‐regression analysis using the "Metafor" package in R (R; Viechtbauer 2010a), performing a meta‐regression for each moderator versus the relevant outcome. The potential moderators (if available) were:
study quality;
age of participants;
amount of additional training;
amount of conventional therapy;
length of intervention;
pre‐intervention outcome level;
phase post stroke; and
time post stroke.
We only performed meta‐regression (meta‐regression of each moderator versus the relevant outcome) if we included more than 10 trials in the analysis (McKenzie 2019).
Moderators having a significant influence (P < 0.05) on the variability of the effect size were included in a mixed‐effects model to evaluate whether they explained the heterogeneity of the effect size. In the mixed‐effects model (meta‐analytic fixed‐effect and random‐effects models), we included the possible moderator variable (i.e. study quality, age of participants, amount of additional therapy) as a fixed‐effect in a random‐effects model analysis (Viechtbauer 2010a). To examine if a trial was an outlier, we used funnel plots, influential case diagnostics, and analysed the internally and externally standardised residuals. If the externally standardised residuals of an RCT were higher than ±1.96 in absolute value (Viechtbauer 2010b), we defined that RCT as an outlier and performed an analysis with and without the outlier.
Sensitivity analysis
We performed a sensitivity analysis for risk of bias in our included studies to test the robustness of our results for our primary outcome. We excluded all trials with a high risk of bias for five domains or more: randomisation, concealed allocation, blinding of assessors and participants, blinding of outcome assessment, incomplete outcome data, selective reporting and other sources of bias. We also conducted meta‐analyses with and without trials for which we imputed the calculated SDs, when six trials or more were included in the meta‐analysis (Dealing with missing data; Fu 2010). We performed a third sensitivity analysis to determine whether there was a difference between using a fixed‐effect model versus a random‐effects model.
Summary of findings and assessment of the certainty of the evidence
We created two summary of findings tables using the following outcomes: activities of daily living, trunk function, arm‐hand function, standing balance, walking ability, quality of life after stroke, and death and serious adverse events, including falls. One table summarises only the trials comparing trunk training versus non‐dose‐matched controls (Table 1). The other table summarises only the trials comparing trunk training versus dose‐matched control therapy (Table 2). We used the five GRADE considerations (study limitations, consistency of effect, imprecision, indirectness, and publication bias) to assess the certainty of evidence as it relates to the studies that contributed data to the meta‐analyses for the prespecified outcomes (Atkins 2004). We used methods and recommendations described in Chapter 14 of the Cochrane Handbook for Systematic Reviews of Interventions (Schünemann 2021), using GRADEpro GDT software (GRADEpro GDT). We justified all decisions to downgrade the certainty of the evidence using footnotes, and we made comments to aid the reader's understanding of the review, where necessary.
We also created additional tables with details of therapy amount in the control group; and the sensitivity analyses.
Results
Description of studies
We present the details of the included and excluded studies in the Characteristics of included studies, Characteristics of excluded studies, Characteristics of studies awaiting classification, and Characteristics of ongoing studies tables.
In Table 4, Table 5, Table 6, Table 7, and Table 8, we present an overview of key study characteristics.
2. Summary characteristics of included studies: participant characteristics.
Study ID | Number participants: experimental group | Number participants: control group | Mean age and (SD): experimental group | Mean age and (SD): control group | Phase post‐stroke |
An 2017 | 15 | 14 | 59.73 (8.94) |
57.07 (17.17) |
Chronic |
Bae 2013 | 8 | 8 | 52.4 (7.6) |
53.4 (5.8) |
Chronic |
Bilek 2020 | 30 | 30 | 51.3 (3.7) |
62.6 (2.2) |
— |
Büyükavcı 2016 | 33 | 32 | 62.6 (10.5) |
63.6 (10.4) |
Early subacute |
Cabanas‐Valdés 2016 | 40 | 39 | 74.92 (10.7) |
75.69 (9.4) |
Early subacute |
Cano‐Mañas 2020 | 23 | 25 | 60.35 (9.84) |
65.68 (10.39) |
Late subacute |
Chan 2015 | 25 | 12 | 58.2 (10.7) |
56.3 (7,4) |
Chronic |
Chen 2020 | 90 | 90 | — | — | Early subacute |
Chitra 2015 | 15 | 15 | 52.07 (5.98) |
55.27 (8,25) |
Late subacute |
Choi 2014 | 15 | 15 | 62.8 (9) |
65.1 (15.7) |
Chronic |
Chung 2013 | 8 | 8 | 44.37 (9.9) |
48.38 (9.72) |
Chronic |
Chung 2014 | 9 | 10 | 51.1 (9,2) |
49 (9.2) |
Chronic |
Dean 1997 | 10 | 10 | 68.2 (8.2) |
66.9 (5.9) |
Chronic |
Dean 2007 | 6 | 6 | 60 (7) |
74 (12) |
Early subacute |
DeLuca 2020 | 15 | 15 | 58.53 (1.87) |
63.46 (2.51) |
Chronic |
De Sèze 2001 | 10 | 10 | 63.5 (17) |
67.7 (15) |
Early subacute |
Seo 2012 | 6 | 6 | 59.8 (12.8) |
57.83 (10.7) |
Chronic |
Dubey 2018 | 17 | 17 | 53.35 (11.64) |
58.24 (11.77) |
Chronic |
El‐Nashar 2019 | 15 | 15 | 59.86 (8.14) |
56.9 (7.24) |
Chronic |
Fujino 2016 | 15 | 15 | 67.9 (7.8) |
64.4 (7.5) |
Early subacute |
Fukata 2019 | 16 | 17 | 68.9 (9.6) |
67.6 (12.7) |
Early subacute |
Haruyama 2017 | 16 | 16 | 67.5 (10.11) |
65.63 (11.97) |
Late subacute |
Jung 2014 | 9 | 8 | 51.9 (10.3) |
57.9 (8.5) |
Chronic |
Jung 2016b | 40 | 20 | 55.4 (10.4) |
56.1 (10.8) |
— |
Jung 2016a | 12 | 12 | 58.9 (11) |
60.7 (7.8) |
Chronic |
Jung 2017 | 21 | 22 | 62.52 (8.82) |
64.55 (10.67) |
Chronic |
Karthikbabu 2011 | 15 | 15 | 59.8 (10.5) |
55 (6.5) |
Early subacute |
Karthikbabu 2018a | 72 | 36 | 55.6 (12.8) |
54.8 (12.5) |
Chronic |
Karthikbabu 2021 | 56 | 28 | 56.9 (12.1) |
54.6 (12.7) |
Chronic |
Kilinç 2016 | 12 | 10 | 55.91 (7.92) |
54 (13.64) |
Chronic |
Kim 2011 | 20 | 20 | 51.4 (5.7) |
53,5 (7.1) |
Chronic |
Ko 2016 | 20 | 10 | — | — | Early subacute |
Kumar 2011 | 10 | 10 | 59.5 (12.09) |
57.8 (13.49) |
Early subacute |
Lee 2012 | 14 | 14 | 59 (11) |
62.3 (14.2) |
Chronic |
Lee 2014a | 10 | 10 | 63.4 (4.94) |
62.5 (8.48) |
— |
Lee 2016a | 5 | 5 | 65.2 (5) |
66.2 (3.4) |
Late subacute |
Lee 2017b | 23 | 23 | 60.4 (10.5) |
58.1 (10.7) |
Chronic |
Lee 2017a | 15 | 15 | 59.1 (16.9) |
64.4 (14.8) |
Early subacute |
Lee MM 2018 | 15 | 15 | 61.8 (6.8) |
61.33 (8.44) |
Late subacute |
Lee 2020a | 18 | 17 | 60.2 (11.7) |
62.4 (13.3) |
late subacute |
Lee 2020b | 20 | 10 | 69.57 (11.75) |
66.89 (10) |
Chronic |
Lee 2014b | 10 | 11 | 47.9 (12) |
54 (11.9) |
Chronic |
Liu 2020 | 25 | 25 | 56.52 (9.22) |
56.6 (9.12) |
— |
Marzouk 2019 | 15 | 15 | — | — | — |
Merkert 2011 | 33 | 33 | 74.5 (8.3) |
74.5 (8.6) |
Late subacute |
Mudie 2002 | 30 | 10 | — | — | — |
Park 2013 | 34 | 33 | 56.09 (7.22) |
51.55 (8.27) |
— |
Park J 2017 | 13 | 13 | — | — | — |
Park 2018b | 7 | 7 | — | — | — |
Park 2018a | 20 | 10 | 59.4 (11.74) |
68.6 (13.57) |
Early subacute |
Park 2020 | 21 | 21 | 67.43 (4.74) |
67.57 (3.28) |
Chronic |
Rangari 2020 | 35 | 35 | — | — | — |
Renald 2016 | 8 | 8 | — | — | — |
Saeys 2012 | 18 | 15 | 61.94 (13.83) |
61.07 (9.07) |
Late subacute |
Sarwar 2019 | 15 | 15 | — | — | — |
Shah 2016 | 10 | 12 | 59.8 (9.58) |
55.5 (8.79) |
Early subacute |
Sharma 2017 | 13 | 10 | 57.23 (7.39) |
57 (8.26) |
Chronic |
Sheehy 2020 | 33 | 36 | 64.9 (15.8) |
64.7 (16.2) |
Chronic |
Shim 2020 | 17 | 16 | 59.65 (16.52) |
56 (15.61) |
Chronic |
Shin 2016 | 12 | 12 | 57.75 (14.03) |
59.25 (9.75) |
Chronic |
Sun 2016 | 20 | 20 | — | — | — |
Thijs 2021 | 14 | 15 | 54.2 (11.46) |
49.07 (13.99) |
Chronic |
Van Criekinge 2020 | 19 | 20 | 61.4 (10.3) |
63.6 (14.4) |
Early subacute |
Varshney 2019 | 15 | 15 | — | — | — |
Verheyden 2009 | 17 | 16 | 55 (11) |
62 (14) |
Early subacute |
Viswaja 2015 | 30 | 30 | — | — | — |
Yoo 2010 | 28 | 31 | 59.61 (18.16) |
61.77 (12.58) |
Early subacute |
Yu 2013 | 10 | 10 | 50 (5.53) |
52.64 (4.56) |
Chronic |
SD: standard deviation
3. Summary characteristics of included studies: intervention characteristics.
Study ID |
Type of intervention experimental |
Type of intervention control group |
Length of intervention in weeks | Total numbers of repetitions experimental group | Total numbers of repetitions control group | Total minutes of intervention in the experimental group | Total minutes of intervention in the control group | Total minutes of conventional therapy in the experimental group | Total minutes of conventional therapy in the control group |
An 2017 | Selective‐trunk training | Non‐dose‐matched therapy | 4 | 3 sessions per week, 4 weeks, 30 minutes each session | 0 | 360 | 0 (non‐dose‐matched therapy) |
600 | 600 |
Bae 2013 | Unstable‐surface training | Same exercises but on a stable surface | 12 | 30 minutes each session, 5 times a week | 30 minutes each session, 5 times a week | 1800 | 1800 (dose‐matched therapy) |
Not reported | Not reported |
Bilek 2020 | Electrostimulation | Non‐dose‐matched therapy | 6 | 5 sessions per week, 6 weeks, 20 minutes each session | 0 | 600 | 0 (non‐dose‐matched therapy) |
1350 | 1350 |
Büyükavcı 2016 | Sitting‐reaching training | Non‐dose‐matched therapy | 3 | 2 hours, 5 days per week, 3 weeks | 0 | 900 | 0 (non‐dose‐matched therapy) |
3000 | 2700 |
Cabanas‐Valdés 2016 | Core‐stability training | Non‐dose‐matched therapy | 5 | 5 weeks, 5 sessions per week, 15 minutes of therapy each session | 0 | 375 | 0 (non‐dose‐matched therapy) |
1500 | 1500 |
Cano‐Mañas 2020 | Other types of training: video‐based trunk training | Non‐dose‐matched therapy | 8 | 3 sessions per week for 8 weeks, 20 minutes per session | 0 | 480 | 0 (non‐dose‐matched therapy) |
1680 | 1680 |
Chan 2015 | Electrostimulation and selective‐trunk training |
Health education | 6 | 5 sessions per week for 6 weeks, 60 minutes per session | 0 | 1800 | 0 (non‐dose‐matched therapy) |
Not reported | Not reported |
Chen 2020 | Core‐stability training | Same exercises but on a stable surface | 8 | 6 sessions per week, 8 weeks, 40 minutes each session | One session per day, 6 sessions per week for 8 weeks, 40 minutes each session | 1440 | 1440 (dose‐matched therapy) |
1440 | 1440 |
Chitra 2015 | Core‐stability training | Strengthening training | 4 | 3 sessions per week for 4 weeks, 30 minutes | 3 days per week for 4 weeks, 30 minutes | 360 | 360 (dose‐matched therapy) |
30 | 30 |
Choi 2014 | Unstable‐surface training | Task‐oriented training | 4 | 15 minutes each session, 5 sessions per week, 4 weeks | 15 minutes per day, 5 days per week for 4 weeks | 300 | 300 (dose‐matched therapy) |
Not reported | Not reported |
Chung 2013 | Core‐stability training | Non‐dose‐matched therapy | 4 | 3 sessions per week, 4 weeks, 60 minutes each session | 0 | 720 | 0 (non‐dose‐matched therapy) |
1200 | 1200 |
Chung 2014 | Core‐stability training | Same exercises but on a stable surface | 6 | 3 sessions per week for 6 weeks, 30 minutes per session | 3 sessions per week for 6 weeks, 30 minutes per session | 540 | 540 (dose‐matched therapy) |
900 | 900 |
Dean 1997 | Sitting‐reaching training | Cognitive exercises | 2 | 10 sessions over 2 weeks, 30 minutes | 10 sessions over 2 weeks, 30 minutes | 300 | 300 (dose‐matched therapy) |
Not reported | Not reported |
Dean 2007 | Sitting‐reaching training | Cognitive exercises | 2 | 10 sessions in 2 weeks | 10 sessions in 2 weeks | 300 | 300 (dose‐matched therapy) |
Not reported | Not reported |
DeLuca 2020 | Unstable‐surface training | Additional conventional therapy | 5 | 3 sessions per week, for 5 weeks, 45 minutes each session | 3 sessions per week for 5 weeks, 45 minutes each session | 675 | 675 (dose‐matched therapy) |
Not reported | Not reported |
De Sèze 2001 | Sitting‐reaching training | Additional conventional therapy | 4 | 5 sessions per week for 4 weeks, 60 minutes each session | 5 sessions per week for 4 weeks, 60 minutes each session | 1200 | 1200 (dose‐matched therapy) |
2400 | 2400 |
Seo 2012 | Selective‐trunk training | Non‐dose‐matched therapy | 5 | 5 sessions per week, 5 weeks, 30 minutes | 0 | 750 | 0 (non‐dose‐matched therapy) |
Not reported | Not reported |
Dubey 2018 | Selective‐trunk training | Additional conventional therapy | 6 | 3 sessions per week, 6 sessions, 60 minutes each session | 3 sessions per week, 6 sessions, 60 minutes each session | 1080 | 1080 (dose‐matched therapy) |
Not reported | Not reported |
El‐Nashar 2019 | Core‐stability training | Strengthening training | 6 | 3 sessions per week, 6 weeks, 30 minutes each session | 3 sessions per week for 6 weeks, 30 minutes each session | 540 | 540 (dose‐matched therapy) |
Not reported | Not reported |
Fujino 2016 | Static inclined‐surface training | Horizontal‐surface training | 1 | 6 sessions per week, 60 times in each session | 6 sessions per week, 60 times in each session | 360 | 360 (dose‐matched therapy) |
300 | 300 |
Fukata 2019 | Static inclined‐surface training | Horizontal‐surface training | 1.2 | 40 times in each session for seven sessions over 8 days, 10 minutes each session | 40 times in each session for seven sessions over 8 days, 10 minutes each session | 70 | 70 (dose‐matched therapy) |
560 | 560 |
Haruyama 2017 | Core‐stability training | Additional conventional therapy | 4 | 5 sessions per week for 4 weeks, 20 min | 5 sessions per week for 4 weeks, 20 min | 400 | 400 (dose‐matched therapy) |
2872.5 | 2617.5 |
Jung 2014 | Weight‐shift training | Additional conventional therapy | 4 | 5 sessions per week for 4 weeks, 30 minutes per session | 5 sessions per week for 4 weeks, 30 minutes per session | 600 | 600 (dose‐matched therapy) |
600 | 600 |
Jung 2016b | Electrostimulation and weight‐shift training |
Same exercises but on a stable surface | 6 | 5 sessions per week for 6 weeks, 30 minutes per session | 5 sessions per week for 6 weeks, 30 minutes per session | 900 | 900 (dose‐matched therapy) |
1800 | 1800 |
Jung 2016a | Unstable‐surface training | Training without electrical stimulation | 6 | 5 sessions per week for 4 weeks, 30 minutes each session | 5 sessions per week for 4 weeks, 30 minutes each session | 600 | 600 (dose‐matched therapy) |
Not reported | Not reported |
Jung 2017 | Core‐stability training | Training without biofeedback | 6 | 5 sessions per week for 6 weeks, 50 minutes each session | 5 sessions per week for 6 weeks, 50 minutes each session | 1500 | 1500 (dose‐matched therapy) |
Not reported | Not reported |
Karthikbabu 2011 | Unstable‐surface training | Same exercises but on a stable surface | 3 | 4 sessions per week for 3 weeks, 60 minutes each session | 4 sessions per week for 3 weeks, 60 minutes each session | 720 | 720 (dose‐matched therapy) |
Not reported | Not reported |
Karthikbabu 2018a | Selective‐trunk training and unstable‐surface training | Additional conventional therapy | 6 | 3 sessions per week for 6 weeks, 60 minutes each session | 3 sessions per week for 6 weeks, 60 minutes each session | 1080 | 1080 (dose‐matched therapy) |
Not reported | Not reported |
Karthikbabu 2021 | Core‐stability training and unstable‐surface training |
Additional conventional therapy | 6 | 3 sessions per week for 6 weeks, 60 minutes each session | 3 sessions per week for 6 weeks, 60 minutes each session | 1080 | 1080 (dose‐matched therapy) |
Not reported | Not reported |
Kilinç 2016 | Core‐stability training | Strengthening training | 12 | 3 sessions per week for 12 weeks, 60 minutes each session | 3 sessions per week for 12 weeks, 60 minutes each session | 2160 | 2160 (dose‐matched therapy) |
Not reported | Not reported |
Kim 2011 | Core‐stability training | Additional conventional therapy | 6 | 5 sessions per week for 6 weeks, 20 minutes each session | 5 sessions per week for 6 weeks, 20 minutes per session | 300 | 300 (dose‐matched therapy) |
600 | 600 |
Ko 2016 | Core‐stability training and electrostimulation | Core‐stability training or electrostimulation |
3 | 3 sessions per week for 3 weeks, 20 minutes each session 3 sessions per week for 3 weeks, 20 minutes each session |
3 sessions per week for 3 weeks, 20 minutes each session | 180 | 180 (dose‐matched therapy) |
Not reported | Not reported |
Kumar 2011 | Selective‐trunk training | Non‐dose‐matched therapy | 3 | 6 sessions per week, for 3 weeks, 45 minutes each session | 0 | 810 | 0 (non‐dose‐matched therapy) |
Not reported | Not reported |
Lee 2012 | Unstable‐surface training | Non‐dose‐matched therapy | 6 | 5 sessions per week for 6 weeks, 60 minutes each session | 0 | 540 | 0 (non‐dose‐matched therapy) |
1800 | 1800 |
Lee 2014a | Unstable‐surface training | Same exercises but on a stable surface | 4 | 3 sessions per week for 4 weeks, 30 minutes each session | 3 sessions per week for 4 weeks, 30 minutes each session | 360 | 360 (dose‐matched therapy) |
Not reported | Not reported |
Lee 2016a | Weight‐shift training | Non‐dose‐matched therapy | 4 | 3 sessions per week for 4 weeks, 30 minutes each session | 0 | 360 | 0 (non‐dose‐matched therapy) |
2700 | 2700 |
Lee 2017b | Core‐stability training | Upper‐limb training | . | 6 x 5 minutes | 6 x 5 minutes | 30 | 30 (dose‐matched therapy) |
Not reported | Not reported |
Lee 2017a | Unstable‐surface training | Additional conventional therapy | 2 | 1 session per day, 5 days per week for 2 weeks, 30 minutes each session | 1 session per day, 5 days per week for 2 weeks, 30 minutes each session | 300 | 300 (dose‐matched therapy) |
300 | 300 |
Lee MM 2018 | Weight‐shift training | Non‐dose‐matched therapy | 5 | 3 sessions per week for 5 weeks, 30 minutes each session. | 0 | 450 | 0 (non‐dose‐matched therapy) |
1500 | 1500 |
Lee 2020a | Selective‐trunk training | Upper limb training | 6 | 2 sessions per week for 6 weeks, 30 minutes per session | 2 sessions per week for 6 weeks, 30 minutes per session | 360 | 360 (dose‐matched therapy) |
Not reported | Not reported |
Lee 2020b | Core‐stability training | Non‐dose‐matched therapy | 6 | 3 sessions per week for 6 weeks, 20 minutes each session | 0 | 360 | 0 (non‐dose‐matched therapy) |
Not reported | Not reported |
Lee 2014b | Core‐stability training | Non‐dose‐matched therapy | 4 | 3 sessions per week for 4 weeks, 30 minutes each session | 0 | 360 | 0 (non‐dose‐matched therapy) |
600 | 600 |
Liu 2020 | Unstable‐surface training | Additional conventional therapy | 4 | 1 session per day, 5 sessions per week for 4 weeks, 30 minutes each session | 1 session per day, 5 sessions per week for 4 weeks, 30 minutes each session | 600 | 600 (dose‐matched therapy) |
Not reported | Not reported |
Marzouk 2019 | Selective‐trunk training | Non‐dose‐matched therapy | . | 3 sessions per week for 6 weeks; 40 minutes each session | 0 | 720 | 0 (non‐dose‐matched therapy) |
Not reported | Not reported |
Merkert 2011 | Unstable‐surface training | Non‐dose‐matched therapy | 3 | 15 sessions, 3 exercises, 30 sec each exercise x 2 | Not reported | 2700 | 0 (non‐dose‐matched therapy) |
Not reported | Not reported |
Mudie 2002 | Selective‐trunk training and sitting‐reaching training and weight‐shift training |
Non‐dose‐matched therapy | 2 | 5 sessions per week for 2 weeks, 30 minutes each session 5 sessions per week for 2 weeks, 30 minutes each session 5 sessions per week for 2 weeks, 30 minutes each session |
0 | 300 | 0 (non‐dose‐matched therapy) |
Not reported | Not reported |
Park 2013 | Unstable‐surface training | Training without biofeedback | 8 | 3 sessions per week for 8 weeks, 35 minutes each session | 3 sessions per week for 8 weeks, 35 minutes each session | 840 | 840 (dose‐matched therapy) |
Not reported | Not reported |
Park J 2017 | Other types of training: sitting boxing programme | Neurodevelopmental treatment and proprioceptive neuromuscular facilitation |
6 | 3 sessions per week for 6 weeks, 30 minutes per session | 3 sessions per week for 6 weeks, 30 minutes per session | 540 | 540 (dose‐matched therapy) |
Not reported | Not reported |
Park 2018b | Electrostimulation | Training without electrical stimulation | 5 sessions per week for 4 weeks, 30 minutes per session | 5 sessions per week for 4 weeks, 30 minutes per session | 600 | 600 (dose‐matched therapy) |
600 | 600 | |
Park 2018a | Electrostimulation and selective‐trunk training | Core‐muscle strengthening |
3 | 5 days per week for 3 weeks, 30 minutes per session & 5 days per week for 3 weeks, 30 minutes per session |
5 days per week for 3 weeks, 30 minutes per session | 450 | 450 (dose‐matched therapy) |
Not reported | Not reported |
Park 2020 | Selective‐trunk training | Movements out of diagonal pattern | 4 | 20 sessions in 4 weeks, 30 minutes each session | 20 sessions in 4 weeks, 30 minutes each session | 600 | 600 (dose‐matched therapy) |
Not reported | Not reported |
Rangari 2020 | Unstable‐surface training | Same exercises but on a stable surface | 6 | 45‐60 minutes each session, 5 times per week for 6 weeks | 45‐60 minutes per session, 5 times a week for 6 weeks | 1350 | 1350 (dose‐matched therapy) |
450 | 450 |
Renald 2016 | Unstable‐surface training | Same exercises but on a stable surface | 2 | 6 sessions per week for 2 weeks, 45 minutes each session | 6 sessions per week for 2 weeks, 45 minutes each session | 540 | 540 (dose‐matched therapy) |
Not reported | Not reported |
Saeys 2012 | Selective‐trunk training | Upper‐limb training | 8 | 4 sessions per week for 8 weeks, 30 minutes each session | 4 sessions per week for 8 weeks, 30 minutes each session | 960 | 960 (dose‐matched therapy) |
Not reported | Not reported |
Sarwar 2019 | Unstable‐surface training | Same exercises but on a stable surface | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported |
Shah 2016 | Other types of training: trunk exercises in combination with motor imagery | Additional conventional therapy | 3 | 6 sessions per week for 3 weeks, 90 minutes each day (2 sessions per day) | 6 sessions per week for 3 weeks, 90 minutes each day (2 sessions per day) | 1620 | 1620 (dose‐matched therapy) |
Not reported | Not reported |
Sharma 2017 | Core‐stability training | Training without core training | 4 | 5 sessions per week for 4 weeks, 60 minutes each session | 5 sessions per week for 4 weeks, 60 minutes each session | 1200 | 1200 (dose‐matched therapy) |
Not reported | Not reported |
Sheehy 2020 | Sitting‐reaching training | Reaching training | 4 | 10 sessions, 30 minutes each session | 10 sessions, 30 minutes each session | 300 | 300 (dose‐matched therapy) |
Not reported | Not reported |
Shim 2020 | Electrostimulation | Training without electrical stimulation | 4 | 5 sessions per week for 4 weeks, 30 minutes each session | 5 sessions per week for 4 weeks, 30 minutes each session | 600 | 600 (dose‐matched therapy) |
Not reported | Not reported |
Shin 2016 | Selective‐trunk training | Non‐dose‐matched therapy | 4 | 3 sessions per week for 4 weeks, 20 minutes | 0 | 240 | 0 (non‐dose‐matched therapy) |
360 | 360 |
Sun 2016 | Core‐stability training | Additional conventional therapy | 6 | 1 session per day, 6 sessions per week for 6 weeks, 60 minutes each session | 1 session per day, 6 sessions per week for 6 weeks, 60 minutes each session | 2160 | 2160 (dose‐matched therapy) |
Not reported | Not reported |
Thijs 2021 | Selective‐trunk training | Non‐dose‐matched therapy | 4 | 3 sessions per week for 4 weeks, 50 minutes each session | 0 | 600 | 0 (non‐dose‐matched therapy) |
3 sessions of 30 minutes and 2 hours therapy per week | 3 sessions of 30 minutes and 2 hours therapy per week |
Van Criekinge 2020 | Selective‐trunk training | Cognitive exercises | 4 | 4 days per week for 4 weeks, 60 minutes each session | 4 days per week for 4 weeks, 60 minutes each session | 960 | 960 (dose‐matched therapy) |
1200 | 1200 |
Varshney 2019 | Unstable‐surface training | Non‐dose‐matched therapy | 3 | 4 sessions per week for 3 weeks, 20 minutes each session | 0 | 240 | 0 (non‐dose‐matched therapy) |
Not reported | Not reported |
Verheyden 2009 | Selective‐trunk training | Non‐dose‐matched therapy | 5 | 4 sessions per week for 4 weeks, 30 minutes each session | 0 | 600 | 0 (non‐dose‐matched therapy) |
2700 | 2880 |
Viswaja 2015 | Unstable‐surface training | Reaching training | 4 | 5 sessions per week for 4 weeks, 30 minutes each session | 5 sessions per week for 4 weeks, 30 minutes each session | 600 | 600 (dose‐matched therapy) |
Not reported | Not reported |
Yoo 2010 | Core‐stability training | Additional conventional therapy | 4 | 3 sessions per week for 4 weeks, 30 minutes each session | 3 sessions per week for 4 weeks, 30 minutes each session | 360 | 360 (dose‐matched therapy) |
360 | 360 |
Yu 2013 | Core‐stability training | Non‐dose‐matched therapy | 4 | 5 sessions per week for 4 weeks, 30 minutes each session | 0 | 600 | 0 (non‐dose‐matched therapy) |
Not reported | Not reported |
4. Summary characteristics of included studies: outcome measures.
Study ID |
Primary outcome (activities of daily living) |
Secondary outcome |
An 2017 | Berg Balance Scale Timed Up and Go Trunk Impairment Scale 1.0 |
|
Bae 2013 | Trunk Impairment Scale 1.0 | |
Bilek 2020 | Brunel Balance Assessment Functional ambulation category Postural Assessment Scale for Stroke Short Form‐36 |
|
Büyükavcı 2016 | Functional independence measurement motor score | Trunk Impairment Scale 1.0 Berg Balance Scale Brunnstrom‐upper extremity Brunnstrom‐lower extremity |
Cabanas‐Valdés 2016 | Trunk Impairment Scale 2.0 Berg Balance Scale Tinetti total Barthel Index Tinetti gait Brunel Balance Assessment Spanish version of Postural Assessment Scale for Stroke Patients Function in Sitting Test |
|
Cano‐Mañas 2020 | Barthel Index | Tinetti gait Tinetti balance Functional Reach Test Get up and Go European Quality of Life‐5 Dimensions–Mobility European Quality of Life‐5 Dimensions‐Personal Care European Quality of Life‐5 Dimensions–Activities European Quality of Life‐5 Dimensions‐Pain/discomfort European Quality of Life‐5 Dimensions‐Anxiety/ depression |
Chan 2015 | Trunk Impairment Scale 1.0 | |
Chen 2020 | Brunel Balance Assessment Fugl‐Meyer Assessment‐Lower Extremity |
|
Chitra 2015 | Functional independence measure‐total | Berg Balance Scale |
Choi 2014 | Modified Functional Reach Test‐Anterior reach (cm) | |
Chung 2013 | Timed up and Go (s) | |
Chung 2014 | Timed up and Go (s) | |
Dean 1997 | Modified Forward reach test‐seated (m) | |
Dean 2007 | Modified Forward reach test‐seated (m) 10‐Meter Walk Test (m/s) |
|
DeLuca 2020 | Trunk Impairment Scale 1.0 Berg Balance Scale |
|
De Sèze 2001 | Trunk Control Test | |
Seo 2012 | Functional Reach Test (cm) in standing Postural assessment scale for stroke |
|
Dubey 2018 | modified Barthel Index | Fugl‐Meyer Assessment‐Lower Extremity Gait speed (m/s) Trunk Impairment Scale 2.0 |
El‐Nashar 2019 | Wolf Motor Function Test Range of motion of shoulder flexion and abduction Trunk Impairment Scale 1.0 |
|
Fujino 2016 | Trunk Control Test | |
Fukata 2019 | Functional Independence Measure–motor Functional Independence Measure‐cognitive |
Trunk Impairment Scale 1.0 Trunk Control Test |
Haruyama 2017 | Timed up and go Functional reach test (standing) Trunk impairment scale 1.0 |
|
Jung 2014 | Timed Up and Go Trunk Impairment Scale 1.0 |
|
Jung 2016b | Trunk Impairment Scale 1.0 | |
Jung 2016a | Trunk Impairment Scale 1.0 10‐Meter Walk Test (s) |
|
Jung 2017 | Modified Functional Reach Test‐Anterior reach (cm) | |
Karthikbabu 2011 | Trunk Impairment Scale 1.0 Brunel Balance Assessment Brunel Balance Assessment–stepping Brunel Balance Assessment–standing Brunel Balance Assessment‐total |
|
Karthikbabu 2018a | Trunk Impairment Scale 2.0 Stroke Impact Scale 2.0 Walking speed (m/s) Tinetti balance Tinetti gait Tinetti total |
|
Karthikbabu 2021 | Trunk Impairment Scale 1.0 Activity‐Specific Balance Confidence scale Weight Bearing Asymmetry Trunk strength |
|
Kilinç 2016 | Trunk Impairment Scale 1.0 Berg Balance Scale 10‐Meter Walk Test (s) Get up and Go Stream‐upper extremity Stream‐lower extremity |
|
Kim 2011 | Functional reach in standing (cm) | |
Ko 2016 | Berg Balance Scale Trunk Impairment Scale 1.0 modified Barthel Index |
|
Kumar 2011 | Brunel Balance Assessment Trunk Impairment Scale 1.0 |
|
Lee 2012 | Trunk Impairment Scale 1.0 Modified Functional Reach Test‐Anterior reach (cm) |
|
Lee 2014a | Timed Up and Go (s) Berg Balance Scale |
|
Lee 2016a | Trunk Impairment Scale 1.0 Berg Balance Scale Timed Up and Go (s) Fugl‐Meyer Assessment‐upper extremity |
|
Lee 2017b | Trunk Impairment Scale 1.0 | |
Lee 2017a | Barthel Index | Functional Ambulation Category Berg Balance Scale Trunk impairment scale 1.0 |
Lee MM 2018 | Manual function test‐total Manual function test‐upper limb Manual function test‐hand Modified Functional Reach Test‐Anterior reach (cm) |
|
Lee 2020a | Fugl‐Meyer Assessment‐Lower Extremity Trunk Impairment Scale 1.0 6 Minutes Walk Test (m) |
|
Lee 2020b | 10‐Meter walk test Dynamic gait index Timed Up and Go test Abdominal muscle thickness Berg Balance Scale Functional Reach Test |
|
Lee 2014b | Timed Up and Go (s) Berg Balance Scale Walking speed (cm/s) |
|
Liu 2020 | Barthel Index | SF‐36 bodily pain SF‐36 general health SF‐36 Vitality SF‐36 social functioning SF‐36 Mental health Berg Balance Scale Fugl‐Meyer Assessment‐upper extremity Fugl‐Meyer Assessment‐Lower Extremity |
Marzouk 2019 | Walking speed (m/s) | |
Merkert 2011 | Barthel Index | Timed up and Go (sec) Berg Balance Scale |
Mudie 2002 | Barthel Index | |
Park 2013 | Berg Balance Scale | |
Park J 2017 | Berg Balance Scale Manual Function Test‐total 10‐Meter Walk Test (s) Stroke‐Specific Quality of Life |
|
Park 2018b | Trunk Impairment Scale 1.0 Tinetti gait Six‐minute walk test (m) |
|
Park 2018a | Barthel Index | Berg Balance Scale Trunk impairment scale 1.0 |
Park 2020 | Trunk Impairment Scale 1.0 10‐Meter Walk Test (s) Gait speed (m/s) Berg Balance Scale |
|
Rangari 2020 | Barthel Index | Trunk Impairment Scale 1.0 Brunel Balance Assessment at 1 week and at 1 month |
Renald 2016 | Trunk Impairment Scale 1.0 | |
Saeys 2012 | Trunk Impairment Scale 1.0 Berg Balance Scale Tinetti balance Functional ambulation category (FAC) Rivermead Motor Assessment Battery‐Gross function Rivermead Motor Assessment Battery‐leg and trunk Rivermead Motor Assessment Battery‐arm |
|
Sarwar 2019 | Trunk Impairment Scale 1.0 Berg Balance Scale |
|
Shah 2016 | Barthel Index | Trunk Impairment Scale 1.0 Trunk Control Test Brunel Balance Assessment Brunel Balance Assessment – standing Brunel Balance Assessment‐stepping |
Sharma 2017 | modified Barthel Index | Trunk Impairment Scale 1.0 Wisconsin Gait Scale Tinetti‐POMA (balance and gait) |
Sheehy 2020 | Wolf Motor Function Test Function in Sitting Test Ottawa Sitting Scale Reaching Performance Scale |
|
Shim 2020 | Trunk Impairment Scale 1.0 Berg Balance Scale Dynamic Gait Index |
|
Shin 2016 | modified Functional Reach Test Timed Up and Go (s) Trunk Impairment Scale 1.0 |
|
Sun 2016 | modified Barthel Index | Berg Balance Scale |
Thijs 2021 | Functional Independence Measure modified Barthel Index |
Trunk Impairment Scale 10 Metre Walk Test (comfortable and maximum speed) Fugl‐Meyer of Lower Extremities Berg Balance Scale Functional Ambulation Category Forward Reach Tone lower extremities Strength trunk and lower extremities |
Van Criekinge 2020 | Trunk Impairment Scale 1.0 | |
Varshney 2019 | Trunk Impairment Scale 1.0 | |
Verheyden 2009 | Trunk Impairment Scale 1.0 | |
Viswaja 2015 | Trunk Impairment Scale 1.0 | |
Yoo 2010 | Trunk Impairment Scale 1.0 Berg Balance Scale Trunk Control Test |
|
Yu 2013 | Trunk Impairment Scale 1.0 |
cm: centimetre cm/s: centimetre per second FAC: Functional Ambulation Category m: metre m/s: metre per second POMA: Performance‐oriented Mobility Assessment s: second SF‐36: Short Form‐36
5. Summary characteristics of included studies: type of intervention in experimental and control groups.
Study ID | Type of intervention: experimental | Type of intervention: control group |
An 2017 | Selective‐trunk training | Non‐dose‐matched therapy |
Bae 2013 | Unstable‐surface training | Same exercises but on a stable surface |
Bilek 2020 | Electrostimulation | Non‐dose‐matched therapy |
Büyükavcı 2016 | Sitting‐reaching training | Non‐dose‐matched therapy |
Cabanas‐Valdés 2016 | Core‐stability training | Non‐dose‐matched therapy |
Cano‐Mañas 2020 | Other types of training: video‐based trunk training | Non‐dose‐matched therapy |
Chan 2015 | Electrostimulation and selective‐trunk training | Health education |
Chen 2020 | Core‐stability training | Same exercises but on a stable surface |
Chitra 2015 | Core‐stability training | Strengthening training |
Choi 2014 | Unstable‐surface training | Task‐oriented training |
Chung 2013 | Core‐stability training | Non‐dose‐matched therapy |
Chung 2014 | Core‐stability training | Same exercises but on a stable surface |
Dean 1997 | Sitting‐reaching training | Cognitive exercises |
Dean 2007 | Sitting‐reaching training | Cognitive exercises |
DeLuca 2020 | Unstable‐surface training | Additional conventional therapy |
De Sèze 2001 | Sitting‐reaching training | Additional conventional therapy |
Seo 2012 | Selective‐trunk training | Non‐dose‐matched therapy |
Dubey 2018 | Selective‐trunk training | Additional conventional therapy |
El‐Nashar 2019 | Core‐stability training | Strengthening training |
Fujino 2016 | Static inclined‐surface training | Horizontal surface training |
Fukata 2019 | Static inclined‐surface training | Horizontal surface training |
Haruyama 2017 | Core‐stability training | Additional conventional therapy |
Jung 2014 | Weight‐shift training | Additional conventional therapy |
Jung 2016b | Electrostimulation and weight‐shift training | Same exercises but on a stable surface |
Jung 2016a | Unstable‐surface training | Training without electrical stimulation |
Jung 2017 | core‐stability training | Training without biofeedback |
Karthikbabu 2011 | Unstable‐surface training | Same exercises but on a stable surface |
Karthikbabu 2018a | Selective‐trunk training and unstable‐surface training | Additional conventional therapy |
Karthikbabu 2021 | Core‐stability training and unstable‐surface training | Additional conventional therapy |
Kilinç 2016 | Core‐stability training | Strengthening training |
Kim 2011 | Core‐stability training | Additional conventional therapy |
Ko 2016 | Core‐stability training and electrostimulation | Core‐stability training or electrostimulation |
Kumar 2011 | Selective‐trunk training | Non‐dose‐matched therapy |
Lee 2012 | Unstable‐surface training | Non‐dose‐matched therapy |
Lee 2014a | Unstable‐surface training | Same exercises but on a stable surface |
Lee 2016a | Weight‐shift training | Non‐dose‐matched therapy |
Lee 2017b | Core‐stability training | Upper limb training |
Lee 2017a | Unstable‐surface training | Additional conventional therapy |
Lee MM 2018 | Weight‐shift training | Non‐dose‐matched therapy |
Lee 2020a | Selective‐trunk training | Upper limb training |
Lee 2020b | Core‐stability training | Non‐dose‐matched therapy |
Lee 2014b | Core‐stability training | Non‐dose‐matched therapy |
Liu 2020 | Unstable‐surface training | Additional conventional therapy |
Marzouk 2019 | Selective‐trunk training | Non‐dose‐matched therapy |
Merkert 2011 | Unstable‐surface training | Non‐dose‐matched therapy |
Mudie 2002 | Selective‐trunk training and sitting‐reaching training and weight‐shift training | Non‐dose‐matched therapy |
Park 2013 | Unstable‐surface training | Training without biofeedback |
Park J 2017 | Other types of training: sitting boxing programme | Neurodevelopmental treatment and proprioceptive neuromuscular facilitation |
Park 2018b | Electrostimulation | Training without electrical stimulation |
Park 2018a | Electrostimulation and selective‐trunk training | Core muscle strengthening |
Park 2020 | Selective‐trunk training | Movements out of diagonal pattern |
Rangari 2020 | Unstable‐surface training | Same exercises but on a stable surface |
Renald 2016 | Unstable‐surface training | Same exercises but on a stable surface |
Saeys 2012 | Selective‐trunk training | Upper limb training |
Sarwar 2019 | Unstable‐surface training | Same exercises but on a stable surface |
Shah 2016 | Other types of training: trunk exercises in combination with motor imagery | Additional conventional therapy |
Sharma 2017 | Core‐stability training | Training without core training |
Sheehy 2020 | Sitting‐reaching training | Reaching training |
Shim 2020 | Electrostimulation | Training without electrical stimulation |
Shin 2016 | Selective‐trunk training | Non‐dose‐matched therapy |
Sun 2016 | Core‐stability training | Additional conventional therapy |
Thijs 2021 | Selective‐trunk training | Non‐dose‐matched therapy |
Van Criekinge 2020 | Selective‐trunk training | Cognitive exercises |
Varshney 2019 | Unstable‐surface training | Non‐dose‐matched therapy |
Verheyden 2009 | Selective‐trunk training | Non‐dose‐matched therapy |
Viswaja 2015 | Unstable‐surface training | Reaching training |
Yoo 2010 | Core‐stability training | Additional conventional therapy |
Yu 2013 | Core‐stability training | Non‐dose‐matched therapy |
6. Included studies' funding sources: declarations of interest.
Study ID | Funding sources | Conflict of interest |
An 2017 | No funding mentioned | No conflict of interest mentioned |
Bae 2013 | No funding mentioned | No conflict of interest mentioned |
Bilek 2020 | The authors affirmed that they had no financial affiliation (including research funding) or involvement with any commercial organisation that had a direct financial interest in any matter included in this manuscript. | The authors affirmed that they had no financial affiliation (including research funding) or involvement with any commercial organisation that had a direct financial interest in any matter included in this manuscript. |
Büyükavcı 2016 | No financial support | The authors declared no conflicts of interest with respect to the authorship and/or publication of this article. |
Cabanas‐Valdés 2016 | No financial support | The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article. |
Cano‐Mañas 2020 | No funding mentioned | The authors declared no conflicts of interest. |
Chan 2015 | No funding was provided. | The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article. |
Chen 2020 | No funding mentioned | No conflict of interest mentioned |
Chitra 2015 | No funding mentioned | The authors declared no conflicts of interest. |
Choi 2014 | No funding mentioned | No conflict of interest mentioned |
Chung 2013 | No funding mentioned | No conflict of interest mentioned |
Chung 2014 | No funding mentioned | No conflict of interest mentioned |
Dean 1997 | Partially funded by the School of Physiotherapy, The University of Sydney, and by financial support from an Australian Postgraduate Award and the Cumberland Burniston Foundation (C Dean) | No conflict of interest mentioned |
Dean 2007 | Australian Physiotherapy Association Physiotherapy Research Foundation | No conflict of interest mentioned |
DeLuca 2020 | No funding mentioned | No conflict of interest mentioned |
De Sèze 2001 | No funding mentioned | No conflict of interest mentioned |
Seo 2012 | No funding mentioned | No conflict of interest mentioned |
Dubey 2018 | No sponsorship or funding arrangements | We also declare that there are no conflicts of interest to disclose pertaining to this study. |
El‐Nashar 2019 | No competing interests (financial and non‐financial) | We declare that the research was conducted in the absence of any commercial relationships that could be constructed as a potential conflict of interest. |
Fujino 2016 | No financial support was received for this study. | The authors declared no conflicts of interest. |
Fukata 2019 | This research received no specific grant from any funding agency in the public, commercial, or not‐for‐profit sectors. | No potential conflict of interest was reported by the authors. |
Haruyama 2017 | No financial support | The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article. |
Jung 2014 | Supported by Sahmyook University | The authors declared no conflict of interest. |
Jung 2016b | Gachon University research fund | No conflict of interest mentioned |
Jung 2016a | Gimcheon University Research Grant | No conflict of interest mentioned |
Jung 2017 | Sahmyook University | The authors had no potential conflicts of interest to declare. |
Karthikbabu 2011 | This research received no specific grant. | No conflict of interest mentioned |
Karthikbabu 2018a | No funding mentioned | No conflict of interest mentioned |
Karthikbabu 2021 | None Financial benefits to the author | There was no conflict of interest in the study. |
Kilinç 2016 | No financial payments or other benefits from any commercial entity related to the subject of this article | There was no conflict of interest in this study. |
Kim 2011 | No funding mentioned | No conflict of interest mentioned |
Ko 2016 | No funding mentioned | No potential conflict of interest relevant to this article was reported. |
Kumar 2011 | No funding mentioned | No conflict of interest mentioned |
Lee 2012 | No funding mentioned | No conflict of interest mentioned |
Lee 2014a | No funding mentioned | No conflict of interest mentioned |
Lee 2016a | No funding mentioned | No conflict of interest mentioned |
Lee 2017b | This research was supported by the Deajeon University research fund (20150). | No conflict of interest mentioned |
Lee 2017a | No funding mentioned | There was no interest conflict. |
Lee MM 2018 | This research was supported by the Daejeon University Fund, 2016. | No conflict of interest mentioned |
Lee 2020a | This research was partly supported by National Cheng Kung University Hospital, Taiwan (NCKUH‐109001002). | The authors declared that there was no conflict of interest. |
Lee 2020b | No funding mentioned | The authors declared that there were no conflicts of interest regarding the publication of this article. |
Lee 2014b | No funding mentioned | Authors declared that they have no conflicts of interest. |
Liu 2020 | This research was supported by Natural Science Fund of HunanProvince (2018JJ2358, 2019JJ50544). | The authors declared that they had no conflicts of interest. |
Marzouk 2019 | Nil financial support | There were no conflicts of interest. |
Merkert 2011 | No funding mentioned | The corresponding author stated that there were no conflicts of interest. |
Mudie 2002 | This project was funded by a La Trobe University Health Sciences Faculty Grant No.A33. | No conflict of interest mentioned |
Park 2013 | No funding mentioned | No conflict of interest mentioned |
Park J 2017 | Financial disclosure statements have been obtained. | No conflicts of interest have been reported by the authors or by any individuals in control of the content of this article. |
Park 2018b | No funding mentioned | No conflict of interest mentioned |
Park 2018a | This work was supported by the Soonchunhyang University Research Fund. | No potential conflict of interest relevant to this article was reported. |
Park 2020 | This research received no external funding. | The authors declared no conflict of interest. |
Rangari 2020 | The study was self‐funded. | The authors declared no conflict of interest. |
Renald 2016 | No funding mentioned | The authors stated that there were no conflicts of interest. |
Saeys 2012 | The author(s) received no financial support for the research, authorship, and/or publication of this article. | The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article. |
Sarwar 2019 | No funding mentioned | The authors declared no conflict of interest. |
Shah 2016 | Funding was nil. | The authors declared no conflict of interest. |
Sharma 2017 | No funding mentioned | No potential conflict of interest relevant to this article was reported. |
Sheehy 2020 | The work was supported by a grant‐in‐aid from the Heart and Stroke Foundation of Canada (G‐14‐0005830) and by a generous personal donation from Tony and Elizabeth Graham. | None disclosure |
Shim 2020 | No funding mentioned | No conflict of interest mentioned |
Shin 2016 | No funding mentioned | No conflict of interest mentioned |
Sun 2016 | No funding mentioned | No conflict of interest mentioned |
Thijs 2021 | EU Horizon 2020 Eurostars funding (E! 11323) and Promobilia funding (Ref. 20062), Sweden | DB, YA, HH declared holding stocks or shares in an organisation that may in any way gain or lose financially from the publication of the manuscript, either now or in the future and receiving reimbursements, fees, funding, or salary from an organisation that holds or has applied for patents relating to the content of the manuscript. |
Van Criekinge 2020 | This research received no specific grant from any funding agency in the public, commercial, or not‐for‐profit sectors. | The authors completed the ICMJE Form for Disclosure of Potential Conflicts of Interest and reported no conflicts of interest. |
Varshney 2019 | The study was self‐funded. | Conflict of interest: none |
Verheyden 2009 | No funding mentioned | No conflict of interest mentioned |
Viswaja 2015 | No funding mentioned | No conflict of interest mentioned |
Yoo 2010 | This work was supported by a grant from Kyung Hee University. | No conflict of interest mentioned |
Yu 2013 | No funding mentioned | No conflict of interest mentioned |
Results of the search
The database and manual searches conducted up to 25 October 2021 resulted in 13,189 unique records. After screening titles and abstracts, we excluded 12,237 records (Figure 1). In total, we screened 952 full texts. From those remaining records, 87 records were suitable for inclusion. After further evaluation, there are seven studies awaiting classification, nine ongoing studies, and three duplicates between the different categories (Lee 2020a; NCT03975985; Thijs 2021). A total of 68 trials met the review inclusion criteria (Included studies; Excluded studies; Ongoing studies; Studies awaiting classification). Figure 1 presents the flow chart of our review process.
Included studies
Details of the 68 included trials and TIDieR checklists can be found in the Characteristics of included studies table. The included studies were all randomised controlled trials. Of the 68 included studies, in the Marzouk 2019 trial, no information was presented on pre‐intervention data and data from change scores. Due to lack of data, this study could not be included for further analysis. The Liu 2020 study presented the outcomes of interest as median values, and the Sun 2016 study provided no standard deviations. The El‐Nashar 2019 study provided pre‐ and post‐intervention data, but did not include standard deviations in the published manuscript. The data from the study of Rangari 2020 were not included in the further analysis due to the inconsistency and lack of clarity of the statistical method used. We contacted the authors of these five studies for further information but received no replies. Thus, we included 63 studies in the data analysis.
Mean change scores and standard deviations were presented in the published manuscripts (An 2017; Cabanas‐Valdés 2016; Chan 2015; Chitra 2015; Choi 2014; Chung 2013; Chung 2014; Dean 2007; De Sèze 2001; Jung 2016b; Jung 2017; Karthikbabu 2011; Karthikbabu 2021; Kumar 2011; Lee 2012; Lee 2016a; Lee 2017a; Lee MM 2018; Lee 2020a; Merkert 2011; Park J 2017; Renald 2016; Shin 2016; Saeys 2012; Thijs 2021; Yoo 2010) or were provided by the authors for 10 trials (Bilek 2020; Büyükavcı 2016; Dean 1997; DeLuca 2020; Fujino 2016; Fukata 2019; Haruyama 2017; Kilinç 2016; Ko 2016; Shah 2016). We calculated mean change scores and standard deviations for 24 trials, whose authors did not respond to our requests for further information (Bae 2013; Cano‐Mañas 2020; Chen 2020; Jung 2014; Jung 2016a; Kim 2011; Lee 2014a; Lee 2014b; Lee 2017b; Lee 2020b; Mudie 2002; Park 2013; Park 2018a; Park 2018b; Park 2020; Rangari 2020; Sarwar 2019; Seo 2012; Sharma 2017; Shim 2020; Varshney 2019; Verheyden 2009; Viswaja 2015; Yu 2013). Calculations for these trials were based on the pooled correlation coefficient. We used a coefficient of 0.83, based on the data provided by fully‐reported trials. In four trials, authors provided their data as confidence intervals, which we subsequently converted to standard deviations (Dubey 2018; Karthikbabu 2018a; Sheehy 2020; Van Criekinge 2020).
Eight trials contained multiple intervention arms (Chan 2015; Jung 2016a; Karthikbabu 2018a; Karthikbabu 2021; Ko 2016; Lee 2020b; Mudie 2002; Park 2018a). Of these, six trials had two intervention arms and one control group (Chan 2015; Jung 2016a; Karthikbabu 2018a; Karthikbabu 2021; Lee 2020b; Park 2018a). We pooled data from the intervention arms in the main analysis and used separate data in the analysis of different therapy approaches. The trial of Mudie 2002 consisted of three intervention arms. We pooled data of the three intervention groups in the main analysis and only, to avoid double‐counting in the control arm, used data from one trunk training approach (sitting‐reaching training) for the meta‐analysis of the trunk therapy approaches. In the main meta‐analysis, we used data from the sitting‐reaching therapy approach and the control group. We did not pool data from the Ko 2016 study because the authors compared core trunk training, electrical stimulation, and the combination of core training and electrical stimulation. We included data from Ko 2016 for the core‐stability trunk training in the training approach analysis, and data from the combined intervention versus electrical stimulation in the main meta‐analysis, following the majority of therapy approaches included in this analysis.
Sample size and study location
The 68 included trials had 2585 participants in total, with 1366 participants in the experimental group and 1219 in the control group. Authors of six trials did not mention study location (Bae 2013; Chan 2015; Chung 2013; Kim 2011; Park 2018a; Renald 2016). Four trials were conducted in an outpatient clinic (DeLuca 2020; El‐Nashar 2019; Marzouk 2019; Thijs 2021). One trial was conducted in the home setting (Dean 1997). Twenty‐six trials were conducted in a hospital setting (An 2017; Bilek 2020; Cano‐Mañas 2020; Chen 2020; Chitra 2015; Chung 2014; Fukata 2019; Haruyama 2017; Jung 2016a; Karthikbabu 2011; Karthikbabu 2018a; Ko 2016; Lee 2012; Lee 2014a; Lee 2016a; Lee 2017b; Lee MM 2018; Lee 2020a; Lee 2014b; Liu 2020; Park 2013; Park 2020; Sarwar 2019; Seo 2012; Viswaja 2015; Yu 2013), 26 trials were conducted in a rehabilitation facility (Büyükavcı 2016; Choi 2014; Dean 2007; De Sèze 2001; Dubey 2018; Fujino 2016; Jung 2014; Jung 2016b; Jung 2017; Karthikbabu 2021; Kilinç 2016; Kumar 2011; Park J 2017; Park 2020; Rangari 2020; Saeys 2012; Shah 2016; Sharma 2017; Sheehy 2020; Shim 2020; Shin 2016; Sun 2016; Van Criekinge 2020; Verheyden 2009; Varshney 2019; Yoo 2010), and one trial took place in a geriatric rehabilitation centre (Merkert 2011). Four trials were multicentre trials (Cabanas‐Valdés 2016; Karthikbabu 2011; Lee 2017a; Lee 2020a).
Fifty‐one of the included trials were conducted in Asia, 11 in Europe, three in Australia, two in Africa, and one in North America.
The median sample size was 15 in the experimental group (interquartile range: 12 to 23) and 15 in the control group (interquartile range: 10 to 20.5). The group size varied from five people per intervention arm (Lee 2016a), to 90 people per intervention arm (Chen 2020).
Sample characteristics
The mean age in the experimental group was 59.68 years (standard deviation: 6.27) with a minimum age of 44.37 years (Chung 2013), and a maximum age of 74.92 years (Cabanas‐Valdés 2016). The average age of the control group was 60.39 years (6.11) with a minimum age of 48.38 years (Chung 2013), and a maximum age of 75.69 years (Cabanas‐Valdés 2016) (seeTable 4).
For 16 trials, the study intervention occurred in the early subacute phase, defined as the period from one week to three months after the stroke event (Büyükavcı 2016; Cabanas‐Valdés 2016; Chen 2020; Dean 2007; De Sèze 2001; Fujino 2016; Fukata 2019; Karthikbabu 2011; Ko 2016; Kumar 2011; Lee 2017b; Park 2018a; Shah 2016; Van Criekinge 2020; Verheyden 2009; Yoo 2010). The interventions of eight trials took place in the late subacute phase, between three and six months after stroke (Cano‐Mañas 2020; Chitra 2015; Haruyama 2017; Lee 2016a; Lee MM 2018; Lee 2020a; Merkert 2011; Saeys 2012). Most of the interventions in the trials (29 in total) happened more than six months after the stroke event (An 2017; Bae 2013; Chan 2015; Choi 2014; Chung 2013; Chung 2014; Dean 1997; DeLuca 2020; Dubey 2018; El‐Nashar 2019; Jung 2014; Jung 2016a; Jung 2017; Karthikbabu 2018a; Karthikbabu 2021; Kilinç 2016; Kim 2011; Lee 2012; Lee 2014a; Lee 2017a; Lee 2020b; Park 2020; Seo 2012; Sharma 2017; Sheehy 2020; Shim 2020; Shin 2016; Thijs 2021; Yu 2013). Fifteen trials did not provide details about the timing of their post‐stroke interventions (Bilek 2020; Jung 2016a; Lee 2014a; Liu 2020; Marzouk 2019; Mudie 2002; Park 2013; Park J 2017; Park 2018b; Rangari 2020; Renald 2016; Sarwar 2019; Sun 2016; Varshney 2019; Viswaja 2015) (Table 4).
Intervention approaches
The included trials used a variety of trunk training approaches (Table 7).
In 18 trials, core‐stability training, defined as isometric strengthening of the trunk muscles, was identified as the intervention approach (Cabanas‐Valdés 2016; Chen 2020; Chitra 2015; Chung 2013; Chung 2014; El‐Nashar 2019; Haruyama 2017; Jung 2016a; Karthikbabu 2021; Kim 2011; Kilinç 2016; Ko 2016; Lee 2017a; Lee 2014b; Lee 2020b; Sharma 2017; Yoo 2010; Yu 2013). In total, 757 people participated, with 376 in the experimental groups and 381 in the control groups.
Across seven trials, 106 participants received electrical stimulation that targeted one or more of the core trunk muscles, with 105 participants in the control groups, for a total of 211 participants (Bilek 2020; Chan 2015; Jung 2016a; Ko 2016; Park 2018a; Park 2018b; Shim 2020).
In 15 trials, researchers provided selective‐trunk training aimed at improving selective movements of the upper and lower part of the trunk (An 2017; Chan 2015; Dubey 2018; Karthikbabu 2018a; Kumar 2011; Lee 2020a; Mudie 2002; Park 2018a; Park 2020; Saeys 2012; Seo 2012; Shin 2016; Thijs 2021; Van Criekinge 2020; Verheyden 2009). The total study sample was 443, with 229 participants in the selective‐trunk training groups and 214 participants in the control groups.
In six trials, training was provided by use of sitting‐reaching therapy in different directions (Büyükavcı 2016; Dean 1997; Dean 2007; De Sèze 2001; Mudie 2002; Sheehy 2020). In total, 184 participants were included, with 94 in the experimental and 90 in the control groups.
In two trials, participants trained on a 10° steady‐tilted platform in comparison with a horizontal platform (Fujino 2016; Fukata 2019). The total group size was 58, with 29 participants in each group.
Participants of the experimental training in 17 trials completed exercises on an unstable surface (Bae 2013; Choi 2014; DeLuca 2020; Jung 2016b; Karthikbabu 2011; Karthikbabu 2018a; Karthikbabu 2021; Lee 2012; Lee 2014a; Lee 2017a; Merkert 2011; Park 2013; Rangari 2020; Renald 2016; Sarwar 2019; Varshney 2019; Viswaja 2015). These studies included a total of 637 participants, with 319 participants in the experimental groups and 318 in the control groups.
Four trials, with 97 participants in total, involved weight‐shift training. Participants had to shift their body weight in a single direction to the limits of stability (Jung 2014; Jung 2016a; Lee 2016a; Lee MM 2018). In the experimental groups, 57 participants received weight‐shift training, compared to 54 participants in the control groups.
We could not classify three trials as one of the seven predefined trunk training approaches; thus, we categorised these trials as applying 'other' intervention approaches. In total, they comprised 96 participants, with 46 in the experimental groups and 50 participants in the control groups. In the Cano‐Mañas 2020 trial, participants in the experimental group received video‐based trunk training. Trunk training was provided as a sitting‐boxing programme for the experimental group in the Park J 2017 study. Trunk exercises in combination with motor imagery was the therapy approach in the Shah 2016 trial.
Duration of therapy
The included studies provided a median of four weeks of experimental training, with a median of 600 minutes of total training in the experimental groups and 360 minutes of total training in the control groups. The intensity of training in minutes ranged from a minimum of 30 minutes of training in Lee 2017b to a maximum of 2700 minutes (45 hours) of training in Merkert 2011. The longest duration of therapy programme in weeks was offered by Kilinç 2016, where participants trained for a period of 12 weeks (Table 5).
Comparison interventions
We divided the included studies into two groups, based on the amount of therapy given in the control arms. In the first group of trials, participants in the control arm did not receive the same amount of therapy (non‐dose‐matched therapy). In this review, we found 20 trials with a total of 365 participants in the experimental groups and 345 participants in the control arms where no additional therapy or non‐dose‐matched therapy was provided (An 2017; Bilek 2020; Büyükavcı 2016; Cabanas‐Valdés 2016; Cano‐Mañas 2020; Chung 2013; Kumar 2011; Lee 2012; Lee 2014b; Lee 2016a; Lee MM 2018; Lee 2020b; Merkert 2011; Mudie 2002; Seo 2012; Shin 2016; Thijs 2021; Varshney 2019; Verheyden 2009; Yu 2013). In the control arm of Marzouk 2019, participants received no training; however, we did not include that study in our analysis due to missing data.
In the second group of 44 trials, control‐group participants received the same amount of therapy (i.e. 'dose‐matched therapy') as participants in the experimental group (Bae 2013; Chan 2015; Chitra 2015; Choi 2014; Chen 2020; Chung 2014; Dean 1997; Dean 2007; DeLuca 2020; De Sèze 2001; Dubey 2018; Fujino 2016; Fukata 2019; Haruyama 2017; Jung 2014; Jung 2016a; Jung 2016b; Jung 2017; Karthikbabu 2011; Karthikbabu 2018a; Karthikbabu 2021; Kim 2011; Kilinç 2016; Ko 2016; Lee 2014a; Lee 2017a; Lee 2017b; Lee 2020a; Park 2013; Park J 2017; Park 2018a; Park 2018b; Park 2020; Rangari 2020; Renald 2016; Saeys 2012; Sarwar 2019; Shah 2016; Sharma 2017; Sheehy 2020; Shim 2020; Van Criekinge 2020; Viswaja 2015; Yoo 2010). There was a total of 931 participants in the experimental group and 814 participants in the control group. Participants in the control arms of the El‐Nashar 2019, Liu 2020, and Sun 2016 trials received the same amount of therapy as intervention‐group participants; however, due to missing data, we did not include their data in the analysis.
Therapy offered as a control intervention was diverse. In three trials, the training consisted of cognitive exercises (Dean 1997; Dean 2007; Van Criekinge 2020). Thirteen trials provided additional conventional therapy (DeLuca 2020; De Sèze 2001; Dubey 2018; Haruyama 2017; Jung 2014; Karthikbabu 2018a; Karthikbabu 2021; Kim 2011; Lee 2017a; Liu 2020; Shah 2016; Sun 2016; Yoo 2010). In 11 trials, participants in the control arms received the same exercises but on a stable surface (Bae 2013; Chen 2020; Chung 2014; Jung 2016b; Karthikbabu 2011; Lee 2014a; Rangari 2020; Renald 2016; Sarwar 2019), or horizontal surface (Fujino 2016; Fukata 2019). Seven trials provided the same training in the control group without the training approach of interest; for example, without electrical stimulation (Jung 2016a; Park 2018a; Park 2018b; Shim 2020), without biofeedback (Jung 2017; Park 2013), or without core training (Sharma 2017). Three trials provided active or passive upper limb training (Lee 2017b; Lee 2020a; Saeys 2012). Finally, in a number of studies, control‐arm participants received diverse training approaches such as reaching training (Sheehy 2020; Viswaja 2015), movements out of a diagonal pattern (Park 2020), strengthening training (Chitra 2015; El‐Nashar 2019; Kilinç 2016), and task‐oriented training (Choi 2014). In one trial, participants in the control group received no additional training, only health education about measuring their blood pressure and monitoring the incidence of falls (Chan 2015). See Characteristics of included studies and Table 7 for further details.
Outcomes
Primary outcome
Activities of daily living
In this review, we identified 15 trials, with a total of 554 participants, in which the effect of trunk training on activities of daily living was provided. From that group of 15 trials, one trial reported this outcome using the modified Barthel Index (Sharma 2017), and 10 using the Barthel index (Cabanas‐Valdés 2016; Cano‐Mañas 2020; Dubey 2018; Ko 2016; Lee 2017a; Merkert 2011; Mudie 2002; Park 2018a; Rangari 2020; Shah 2016). The remaining four trials evaluated change in activities of daily living using the Functional Independence Measure (Büyükavcı 2016; Chitra 2015; De Sèze 2001; Fukata 2019).
Secondary outcomes
Trunk function
Of the 63 trials, 51 (1755 participants) reported outcome on trunk function. Of that group, 37 trials reported trunk function by means of the Trunk Impairment Scale 1.0 (An 2017; Büyükavcı 2016; Chan 2015; DeLuca 2020; Fukata 2019; Haruyama 2017; Jung 2014; Jung 2016a; Jung 2016b; Karthikbabu 2011; Karthikbabu 2021; Kilinç 2016; Ko 2016; Kumar 2011; Lee 2012; Lee 2016a; Lee 2017a; Lee 2017b; Lee 2020a; Park 2018a; Park 2018b; Park 2020; Rangari 2020; Renald 2016; Saeys 2012; Sarwar 2019; Shah 2016; Sharma 2017; Shim 2020; Shin 2016; Thijs 2021; Van Criekinge 2020; Varshney 2019; Verheyden 2009; Viswaja 2015; Yoo 2010; Yu 2013), and four using the Trunk Impairment Scale 2.0 (Bae 2013; Cabanas‐Valdés 2016; Dubey 2018; Karthikbabu 2018a). Five of the included trials tested trunk function via the Trunk Control Test (De Sèze 2001; Fujino 2016; Fukata 2019; Shah 2016; Yoo 2010), seven by means of the modified Functional Reach Test (Choi 2014; Dean 1997; Dean 2007; Jung 2017; Lee 2012; Lee MM 2018; Shin 2016), and one with the Postural Assessment Scale for Stroke (Bilek 2020).
Arm‐hand function
Three trials (93 participants) evaluated the effect of trunk training on arm‐hand function (Büyükavcı 2016; Kilinç 2016; Lee 2016a): by means of the Fugl‐Meyer Assessment (Lee 2016a), the Brunnstrom Recovery Stages (Büyükavcı 2016), and the Stroke Rehabilitation Assessment of Movement‐upper extremity (Kilinç 2016).
Arm‐hand activity
Four trials (142 participants) assessed the effect of trunk training on arm‐hand activity (Lee MM 2018; Park J 2017; Saeys 2012; Sheehy 2020). One trial evaluated arm‐hand activity using the Rivermead Motor Assessment‐Arm Scale (Saeys 2012), two by means of the Manual Function Test (Lee MM 2018; Park J 2017), and one by the Wolf Motor Function Test (Sheehy 2020).
Standing balance
The effect of trunk training on standing balance was studied in 33 trials (1330 participants). In 22 trials, the Berg Balance Scale was used to assess standing balance (An 2017; Büyükavcı 2016; Cabanas‐Valdés 2016; Chen 2020; Chitra 2015; DeLuca 2020; Karthikbabu 2021; Kilinç 2016; Ko 2016; Lee 2014a; Lee 2016a; Lee 2017a; Lee 2014b; Merkert 2011; Park 2013; Park J 2017; Park 2018a; Park 2020; Saeys 2012; Sarwar 2019; Shim 2020; Yoo 2010). Five studies applied the Functional Reach Test in standing (Cano‐Mañas 2020; Choi 2014; Haruyama 2017; Kim 2011; Seo 2012). In three trials, the Tinetti Scale‐balance was used (Cano‐Mañas 2020; Karthikbabu 2018a; Van Criekinge 2020), and three trials utilised the Brunel Balance Assessment to evaluate standing balance (Karthikbabu 2011; Kumar 2011; Shah 2016).
Leg function
Three trials used the Fugl‐Meyer Assessment (lower extremity) to assess leg function (Chen 2020; Dubey 2018; Lee 2020a). The Büyükavcı 2016 trial used the Brunnstrom Recovery Stages, and Kilinç 2016 used the Stroke Rehabilitation Assessment of Movement‐lower extremity.
Walking ability
Thirty trials (with 901 participants in total) evaluated walking ability. Of these, six trials used as their measurement scale the 10‐Meter Timed Walk Test (Dean 2007; Jung 2016b; Kilinç 2016; Lee 2020b; Park 2020; Thijs 2021). Five trials evaluated walking ability by reported walking speed (Chung 2013; Dubey 2018; Lee 2014b; Park 2020; Van Criekinge 2020). Ten trials in total used the Timed Up and Go Test to investigate the effect of trunk training on walking ability (Cano‐Mañas 2020; Chung 2013; Haruyama 2017; Jung 2014; Kilinç 2016; Lee 2014a; Lee 2016a; Lee 2014b; Merkert 2011; Shin 2016). In six trials, researchers used the Tinetti Scale‐gait to evaluate walking ability (Cabanas‐Valdés 2016; Cano‐Mañas 2020; Merkert 2011; Park 2018b; Saeys 2012; Van Criekinge 2020). Two trials investigated change in walking ability using the 6‐Meter Walk Test (Lee 2020a; Park 2018b). One trial tested walking ability by the Dynamic Gait Index (Shim 2020), and one by the Wisconsin Gait Scale (Sharma 2017).
For 15 trials, the outcomes were indicated as negative values, where lower scores represented better performances. We used the absolute values in the analysis (An 2017; Cano‐Mañas 2020; Chung 2014; Haruyama 2017; Jung 2014; Jung 2016b; Kilinç 2016; Lee 2014a; Lee 2016a; Lee 2020a; Lee 2020b; Lee 2014b; Park J 2017; Park 2020; Sharma 2017).
Quality of life
Only four trials measured quality of life (Bilek 2020; Cano‐Mañas 2020; Karthikbabu 2018a; Park J 2017). They used the Stroke Impact Scale 2.0 (Karthikbabu 2018a), the Short Form‐36 (Bilek 2020), the European Quality of Life scale (Cano‐Mañas 2020), and the Stroke‐Specific Quality of Life scale (Park J 2017), respectively.
Death and serious adverse events, including falls
The occurrence of adverse events was under‐reported. A minority of trials mentioned data about adverse events. Fifty‐three trials did not evaluate (or if evaluated, did not report) adverse events (An 2017; Bae 2013; Bilek 2020; Büyükavcı 2016; Cabanas‐Valdés 2016; Chan 2015; Chen 2020; Chitra 2015; Choi 2014; Chung 2013; Chung 2014; Dean 1997; DeLuca 2020; Dubey 2018; Fujino 2016; Jung 2014; Jung 2016a; Jung 2016b; Jung 2017; Karthikbabu 2011; Karthikbabu 2021; Kilinç 2016; Kim 2011; Ko 2016; Kumar 2011; Lee 2012; Lee 2014a; Lee 2017b; Lee 2020a; Lee 2020b; Lee 2014b; Marzouk 2019; Merkert 2011; Mudie 2002; Park 2013; Park J 2017; Park 2018b; Park 2020; Rangari 2020; Renald 2016; Saeys 2012; Sarwar 2019; Seo 2012; Shah 2016; Sharma 2017; Shim 2020; Sun 2016; Van Criekinge 2020; Varshney 2019; Verheyden 2009; Viswaja 2015; Yoo 2010; Yu 2013).
The other 15 trials did evaluate and report occurrence of adverse events. Nine of these trials indicated that no adverse events occurred during the study (Cano‐Mañas 2020; De Sèze 2001; Fukata 2019; Haruyama 2017; Karthikbabu 2018a; Lee 2016a; Lee 2020b; Liu 2020; Park 2018a). Dean 2007 reported that one participant slipped from the chair while training. In Thijs 2021, one participant fell during the study, and three different participants indicated muscle soreness after therapy (shoulder, hip, and back regions); fatigue (general, and of the leg and trunk) was found acceptable in this trial. Shoulder pain occurred in two trials (Lee MM 2018; Sheehy 2020). Dizziness, lower limb soreness, fatigue, and itching sensation was described in one trial (Lee 2017a). Adverse events, fatigue, and pain were reported but interpreted as negligible in Shin 2016.
Excluded studies
We excluded a total of 884 trials (Figure 1). Of these, we excluded 191 trials after discussion amongst the review authors who carried out study screening. We listed the most important reasons for exclusion of these trials in the Characteristics of excluded studies table. The most important reasons for exclusions were: no trunk therapy was provided; ineligible study design; and training only in standing position.
Risk of bias in included studies
See Characteristics of included studies, Figure 2, and Figure 3 for the summaries of the risk of bias analysis. We omitted trials with a high risk of bias in further Sensitivity analysis. We followed the Cochrane handbook for guidance to evaluate the risk of bias (Lefebvre 2021).
Allocation
A total of 23 trials reported an adequate randomisation sequence generation (An 2017; Bilek 2020; Büyükavcı 2016; Cano‐Mañas 2020; Cabanas‐Valdés 2016; Dean 1997; Dean 2007; Haruyama 2017; Jung 2017; Kilinç 2016; Kumar 2011; Karthikbabu 2021; Lee 2016a; Lee 2017a; Lee MM 2018; Lee 2020a; Liu 2020; Mudie 2002;Park 2020; Sharma 2017; Sheehy 2020;Sun 2016; Thijs 2021), 43 trials were unclear (Bae 2013, Chan 2015; Chitra 2015; DeLuca 2020; De Sèze 2001; Fujino 2016; Fukata 2019; Lee 2017b; Marzouk 2019; Chen 2020; Choi 2014; Chung 2013; Chung 2014; Dubey 2018; El‐Nashar 2019; Jung 2014; Jung 2016a; Jung 2016b; Karthikbabu 2011; Karthikbabu 2018a; Kim 2011; Ko 2016; Lee 2012; Lee 2014a; Lee 2014b; Lee 2020b; Merkert 2011;Park 2013; Park 2018a; Park J 2017; Rangari 2020; Renald 2016; Saeys 2012; Sarwar 2019; Seo 2012; Shim 2020; Shah 2016; Shin 2016; Varshney 2019; Van Criekinge 2020; Verheyden 2009; Viswaja 2015; Yoo 2010), and two trials did not state if a random process was executed (Park 2018b; Yu 2013). The most common method for performing random allocation was by computer (Bilek 2020; Büyükavcı 2016; Cano‐Mañas 2020; Haruyama 2017; Jung 2017; Kilinç 2016; Lee 2016a; Lee 2017a; Lee MM 2018; Lee 2020a; Park 2020; Sharma 2017; Shin 2016; Sun 2016). Randomisation was executed by an independent researcher who was not involved in the assessment or treatment of the patients in four trials (Thijs 2021; Van Criekinge 2020; Verheyden 2009; Viswaja 2015). Ten trials used block randomisation (An 2017; Dean 1997; Dean 2007; Dubey 2018; Fujino 2016; Fukata 2019; Karthikbabu 2011; Karthikbabu 2018a; Karthikbabu 2021; Kumar 2011); only three of these reported details on the block size or number of blocks (An 2017; Karthikbabu 2021; Kumar 2011). The An 2017 trial had a block size of 2 x 2. Karthikbabu 2021 used 16 blocks; each block contained six randomly ordered intervention assignments (two each for stable support, unstable support core‐stability regimens, and control group, respectively). Kumar 2011 used five blocks with four participants in each block to ensure equal numbers of participants in both groups. Dean 2007 used sealed opaque envelopes containing the allocation, which was generated earlier by a person independent of the study using random number tables. Randomisation in the study of Dean 1997 involved random sampling without replacement; participants drew a card from a box that was originally filled with 10 control and 10 experimental cards.
Six studies did not report any detail on the size of the blocks; we scored these as 'unclear' (Dubey 2018; Fujino 2016; Fukata 2019; Karthikbabu 2011; Karthikbabu 2018a; Shah 2016).
Other methods used in the included trials involved: placing cards in a box with the allocation group mentioned on the cards (Bae 2013; Park 2018a; Park 2020); placing pieces of paper numbered '1' or '2' in a box (Lee 2014b); placing pieces of paper inscribed with 'control' or 'experimental' in a box (Dean 1997); or an independent person randomly distributing envelopes (Jung 2014; Saeys 2012). In one study, 40 numbers from a random numbers table were alternately written on slips of paper and sequentially drawn from a box by a clinician independent of the study (Mudie 2002).
One trial used a randomisation web site (www.randomization.com) to randomly distribute the participants to groups (Park 2020). The Sheehy 2020 study also randomised their participants with a web‐generated method based at a remote co‐ordinating centre. The randomisation was performed within permuted blocks in a 1:1 ratio. The Cabanas‐Valdés 2016 and Haruyama 2017 trials used a random, computer‐generated list specific to each centre. More specifically, in Cabanas‐Valdés 2016, an external person uninvolved in the treatment or follow‐up of participants generated the list. The Haruyama 2017 study attempted to prevent intervention effects being influenced by differences in trunk function at baseline by adopting a permuted‐block method combined with stratified randomisation using the total Trunk Impairment Scale score. The block size was two. The investigators stratified the Total Trunk Impairment Scale score into scores of 14 or higher, or less than 14 (out of a possible total of 23), based on the median score reported for stroke patients. In the trial of Sun 2016, participants were randomly divided into either an experimental or control group by a random computer‐generated sequence.
The Liu 2020 trial randomised participants by assigning each a code that was matched to a random number generated from a random numbers table in a spreadsheet. In Shim 2020, the random (rand) function was used after participants were coded and entered into an Excel file.
In 43 studies, the method of sequence generation was often not described at all or briefly described with no details given (Bae 2013, Chan 2015; Chitra 2015; DeLuca 2020; De Sèze 2001; Fujino 2016; Fukata 2019; Lee 2017b; Marzouk 2019;Chen 2020; Choi 2014; Chung 2013; Chung 2014; Dubey 2018; El‐Nashar 2019; Jung 2014; Jung 2016a; Jung 2016b; Karthikbabu 2011; Karthikbabu 2018a; Kim 2011; Ko 2016; Lee 2012; Lee 2014a; Lee 2014b; Lee 2020b; Merkert 2011;Park 2013; Park 2018a; Park J 2017; Rangari 2020; Renald 2016; Saeys 2012; Sarwar 2019; Seo 2012; Shim 2020; Shah 2016; Shin 2016; Varshney 2019; Van Criekinge 2020; Verheyden 2009; Viswaja 2015; Yoo 2010). Hence, sequence generation cannot be performed in the exact same way in a future study. We assessed these trials as having an unclear risk of bias in this domain. No details were reported on the lottery method (Chitra 2015), the randomisation table (De Sèze 2001), or randomisation conducted through a random draw (Park J 2017).
We scored the studies as high risk for selection bias when the methodology of dividing into groups was not completely at random. Thus, two studies showed a high risk for selection bias (Park 2018b; Yu 2013).
We scored the studies as unclear risk for selection bias (allocation concealment) when nothing was reported on the randomisation sequence or the study reported only that the participants were randomly distributed into different groups. We assessed most of the trials (41/68) as having an unclear risk of bias for allocation concealment (Bae 2013; Bilek 2020; Büyükavcı 2016; Cano‐Mañas 2020; Chitra 2015; Choi 2014; Chung 2013; DeLuca 2020;Jung 2016b; Kim 2011; Kilinç 2016; Ko 2016; Lee 2014a; Lee 2017b; Lee 2020b; Liu 2020; Marzouk 2019; Park 2013; Park J 2017; Rangari 2020; Sarwar 2019; Shim 2020; Shin 2016; Varshney 2019; Viswaja 2015; Yoo 2010; Yu 2013; Chen 2020; De Sèze 2001; Jung 2016a; Kumar 2011; Lee 2012; Lee 2016a; Lee 2020a; Lee MM 2018; Merkert 2011; Park 2018a; Park 2020; Renald 2016; Seo 2012; Jung 2017).
Allocation concealment was clearly described for 23 trials (An 2017; Cabanas‐Valdés 2016; Chan 2015; Dean 2007; Dubey 2018; El‐Nashar 2019; Fujino 2016; Fukata 2019; Haruyama 2017; Jung 2014; Karthikbabu 2011; Karthikbabu 2018a; Karthikbabu 2021; Lee 2017a; Mudie 2002; Saeys 2012; Shah 2016; Sharma 2017; Sheehy 2020; Sun 2016; Thijs 2021; Van Criekinge 2020; Verheyden 2009). In nine trials, a third party ‐ not involved in the intervention ‐ completed concealment (An 2017; Chan 2015; Fukata 2019; Haruyama 2017; Karthikbabu 2011; Shah 2016; Sharma 2017; Verheyden 2009; Thijs 2021). Five trials did not report if sealed envelopes were opaque (An 2017; Jung 2014; Jung 2016a; Saeys 2012; Van Criekinge 2020). Eleven trials specified that concealment of allocation took place using opaque envelopes (Cabanas‐Valdés 2016; Dean 2007; Dubey 2018; Fujino 2016; Fukata 2019; Karthikbabu 2011; Karthikbabu 2018a; Karthikbabu 2021; Lee 2017a; Sun 2016; Sharma 2017).
Three trials described the concealment allocation procedure in more detail. In Lee 2014b, each participant chose a piece of paper with number 1 or 2 written on it from a box containing 22 pieces of paper. In Mudie 2002, slips of paper containing the random numbers were placed in an opaque canister. At first contact, an independent person drew a number from the container. In Sheehy 2020, an email with the allocation was sent to the study trainer.
Four trials were scored as having high risk of bias on allocation concealment (Chung 2014; Dean 1997; Lee 2014b; Park 2018b.)
Blinding
Overall, none of the included studies applied and reported blinding for both the participants and the personnel.
We assessed trials as having a high risk of bias when it was clear that neither the participants nor the personnel were blinded. Fourteen trials had a high risk of performance bias (Chitra 2015; De Sèze 2001; Karthikbabu 2021; Ko 2016; Kumar 2011; Lee 2016a; Lee 2020a; Lee 2020b; Park 2018a; Park J 2017; Sheehy 2020; Shim 2020; Thijs 2021; Van Criekinge 2020). In four studies, all participants were aware of the treatment allocation in the study design (Ko 2016; Park J 2017; Park 2018a; Sheehy 2020). In one study, it was stated that the therapists were not blinded (Shim 2020). In one study, therapists had a consensus meeting with the study participants to clear out all doubts and discrepancies (Karthikbabu 2021). Participants were briefed about the nature of the study (Chitra 2015). The outcome assessor was only blinded in the study of De Sèze 2001. It was described in the study of Van Criekinge 2020 that the authors tried to plan to blind both patients and therapists in addition to the assessor; however, it was unlikely that they would stay blind, due to the nature of the intervention(s) applied. Lee 2020a and Lee 2020b reported that only the assessor was blinded, not the participants or study personnel.
In 54 trials, it was unclear how the blinding of participants or personnel was administered (An 2017; Bae 2013; Bilek 2020; Büyükavcı 2016; Cabanas‐Valdés 2016; Cano‐Mañas 2020; Chan 2015; Chen 2020; Choi 2014; Chung 2013; Chung 2014; Dean 1997; Dean 2007; DeLuca 2020; Dubey 2018; El‐Nashar 2019; Fujino 2016; Fukata 2019; Haruyama 2017; Jung 2014; Jung 2016a; Jung 2016b; Jung 2017; Karthikbabu 2011; Karthikbabu 2018a; Kilinç 2016; Kim 2011; Lee 2012; Lee 2014a; Lee 2017a; Lee 2017b; Lee 2014b;Lee MM 2018; Liu 2020; Marzouk 2019; Merkert 2011; Mudie 2002; Park 2013; Park 2018b; Park 2020; Rangari 2020; Renald 2016; Saeys 2012; Sarwar 2019; Seo 2012; Shah 2016; Sharma 2017; Shin 2016; Sun 2016; Varshney 2019; Verheyden 2009; Viswaja 2015; Yoo 2010; Yu 2013). In one trial, the therapists were blinded (Saeys 2012); in two trials, the participants were blinded (Bilek 2020; Shim 2020); and in two trials, the participants received sham training, however no details were provided on personal blinding (Dean 1997; Dean 2007). Investigators for the Van Criekinge 2020 study stated that they tried to blind participants, therapists, and assessors. Another trial reported that the study had a double‐blinded design (Büyükavcı 2016), but investigators did not report how the blinding of the participants or personnel was done. Therefore, we assessed this trial as having an unclear risk of performance bias. Some trials reported that the participants were informed about the nature of the study but did not provide further information (Chitra 2015; Choi 2014; Lee MM 2018).
Two trials indicated that detection bias was likely (Choi 2014; Shim 2020). Thirty‐five trials declared that the outcome assessor was blinded to prevent detection bias (An 2017; Bilek 2020; Büyükavcı 2016; Cabanas‐Valdés 2016; Cano‐Mañas 2020; Chan 2015; Chen 2020; Chung 2014; Dean 1997; Dean 2007; DeLuca 2020; De Sèze 2001; Dubey 2018; Fujino 2016; Fukata 2019; Haruyama 2017; Jung 2014; Jung 2017; Karthikbabu 2011; Kilinç 2016; Ko 2016; Kumar 2011; Lee 2020a; Lee 2020b; Lee MM 2018; Liu 2020; Renald 2016; Saeys 2012; Shah 2016; Sharma 2017; Sheehy 2020; Shin 2016; Thijs 2021; Van Criekinge 2020; Verheyden 2009). Some trials stated that the investigator was not aware of the treatment allocation (Cabanas‐Valdés 2016; Cano‐Mañas 2020; Chen 2020; Dean 2007; DeLuca 2020; De Sèze 2001; Dubey 2018; Fujino 2016; Karthikbabu 2011; Ko 2016; Kumar 2011; Renald 2016; Saeys 2012), or did not participate in provision of the intervention (Cabanas‐Valdés 2016; Chen 2020; Dean 2007; DeLuca 2020; Dubey 2018; Saeys 2012; Shah 2016). In one trial, participants were registered in the database by means of a patient ID code, so assessors were blinded during analysis (Van Criekinge 2020). Of the trials with a low risk of detection bias, 18 trials only reported that the assessor was blinded, without further details (An 2017; Bilek 2020; Büyükavcı 2016; Chan 2015; Chung 2014; Dean 1997; Fukata 2019; Haruyama 2017; Jung 2014; Jung 2017; Kilinç 2016; Lee MM 2018; Lee 2020a; Lee 2020b; Liu 2020; Sheehy 2020; Shin 2016; Verheyden 2009). These abovementioned trials were scored as 'low risk'.
A total of 29 studies did not report any aspect of blinding the assessor and were therefore scored 'unclear' (Bae 2013; Chitra 2015; Chung 2013; El‐Nashar 2019; Jung 2016a; Jung 2016b; Karthikbabu 2018a; Karthikbabu 2021; Kim 2011; Lee 2014a; Lee 2014b; Lee 2016a; Lee 2017b; Marzouk 2019; Merkert 2011; Mudie 2002; Park 2013; Park J 2017; Park 2018a; Park 2018b; Park 2020; Rangari 2020; Sarwar 2019; Seo 2012; Sun 2016; Varshney 2019; Viswaja 2015; Yoo 2010; Yu 2013). Two trials reported that the assessor did not participate in the intervention but did not mention the term blinding and were therefore also scored as having 'unclear risk' (Lee 2012; Lee 2017a).
Incomplete outcome data
In total, we assessed 19 trials as having a high risk of attrition bias for the following reasons: higher dropout ratio in the intervention group compared to the control group (Sheehy 2020); not all reasons that participants were lost to follow‐up were mentioned (Dubey 2018; Kilinç 2016; Ko 2016; Park 2020; Seo 2012; Sun 2016; Varshney 2019), or these reasons were only vaguely described (Chung 2014; El‐Nashar 2019); it was unclear to which group the 'lost to follow‐up' participants belonged (Kumar 2011; Merkert 2011); and not all participants were analysed post‐intervention and no additional information about this was provided (Shim 2020). In one trial, there was no flow chart and it was not reported whether all participants completed the entire study (Chung 2013). In five trials, there was a high dropout percentage, more than 16% per group stopped the intervention (Karthikbabu 2018a; Lee 2016a) or study authors did not report if there were any dropouts or the possible reasons (Kim 2011; Park 2018b; Rangari 2020).
We judged 16 trials as having an unclear risk of attrition bias (Bae 2013; Bilek 2020; Chen 2020; Chitra 2015; Fukata 2019; Jung 2016a; Jung 2016b; Lee 2014a; Lee 2017b; Marzouk 2019; Mudie 2002; Park 2013; Thijs 2021; Viswaja 2015; Yoo 2010; Yu 2013). One trial did not provide details about the baseline characteristics (Viswaja 2015). In one trial, the dropout rate was rather high: 20% in the intervention group and 10% in the control group (Renald 2016). However, the reasons for dropouts were well described, and thus we scored this study as having a low risk of attrition bias.
We assessed the remaining 33 trials as having a low risk of attrition bias (An 2017; Büyükavcı 2016; Cabanas‐Valdés 2016; Cano‐Mañas 2020; Chan 2015; Choi 2014; Dean 1997; Dean 2007; DeLuca 2020; De Sèze 2001; Fujino 2016; Haruyama 2017; Jung 2014; Jung 2017; Karthikbabu 2011; Karthikbabu 2021; Lee 2012; Lee 2017a; Lee MM 2018; Lee 2020a; Lee 2020b; Lee 2014b; Liu 2020; Park J 2017; Park 2018a; Saeys 2012; Sarwar 2019; Shah 2016; Sharma 2017; Sheehy 2020; Shin 2016; Van Criekinge 2020; Verheyden 2009). These trials presented a flow chart, described the reasons for dropouts or had dropouts that had nothing to do with the nature of the intervention. Notably, in Sharma 2017, there was a considerably higher dropout rate in the control group (13%) than in the experimental group (9%).
Selective reporting
Most of the trials showed no reporting bias (32/68) (Büyükavcı 2016; Cabanas‐Valdés 2016; Cano‐Mañas 2020; Chan 2015; Chitra 2015; Chung 2013; Chung 2014; DeLuca 2020; De Sèze 2001; Dubey 2018; Fujino 2016; Fukata 2019; Haruyama 2017; Jung 2014; Jung 2016a; Jung 2017; Karthikbabu 2011; Kilinç 2016; Kim 2011; Lee MM 2018; Lee 2020a; ; Lee 2014b; Lee 2014b; Lee 2017a; Park 2013; Park J 2017; Saeys 2012; Seo 2012; Shah 2016; Sharma 2017; Van Criekinge 2020; Yoo 2010). Thirteen trials did not have a trial registration but reported both significant and non‐significant results, with P values; we therefore scored these as 'low risk' (Jung 2014; Jung 2016a; Jung 2017; Karthikbabu 2011; Kilinç 2016; Kim 2011; Lee 2017a; Lee MM 2018; Lee 2020b; Lee 2014b; Park 2013; Park J 2017; Yoo 2010).
We assessed 20 trials as having an unclear risk of reporting bias, due to the lack of trial registration, unreported P values, and only significant results in favour of the experimental group (Bae 2013; Bilek 2020; Chen 2020; Jung 2016b; Ko 2016; Kumar 2011; Lee 2012; Lee 2017b; Marzouk 2019; Mudie 2002; Park 2018a; Park 2018b; Park 2020; Rangari 2020; Shin 2016; Sun 2016; Thijs 2021; Varshney 2019; Yu 2013). We rated one further study as having an unclear risk of bias in this domain: Verheyden 2009 did not report the Tinetti Scale post‐intervention, but showed significant and non‐significant results.
Sixteen trials had a high risk for reporting bias (An 2017, Choi 2014; Dean 1997; Dean 2007; El‐Nashar 2019; Karthikbabu 2018a; Karthikbabu 2021; Lee 2016a; Lee 2014a; Shim 2020; Viswaja 2015; Merkert 2011;Renald 2016;Sarwar 2019; Sheehy 2020;Liu 2020). Five out of the eleven trials did not report the results of outcome measures included in the trial registration (Karthikbabu 2018a; Karthikbabu 2021; Liu 2020; Sharma 2017). The Dean 1997 study did not report post‐intervention results on two outcome measures (i.e. walking speed and activities of daily living), and the Viswaja 2015 study did not report baseline characteristics. Dean 2007 did not report P values and exclusively reported significant outcome measures in favour of the intervention group. No study registration was available for El‐Nashar 2019, and it did not report standard deviations.
Other potential sources of bias
Most of the trials (44/68) had a low risk for other potential sources of bias (An 2017; Bae 2013; Bilek 2020; Büyükavcı 2016; Cabanas‐Valdés 2016; Chan 2015; Chen 2020; Chitra 2015; Choi 2014; Chung 2013; Dean 1997; Dean 2007; DeLuca 2020; De Sèze 2001; Dubey 2018; Fujino 2016; Fukata 2019; Haruyama 2017; Jung 2014; Jung 2016a; Jung 2017; Karthikbabu 2011; Karthikbabu 2018a; Karthikbabu 2021; Kilinç 2016; Kumar 2011; Lee 2012; Lee 2016a; Lee MM 2018; Lee 2020a; Lee 2020b; Lee 2014b; Liu 2020; Merkert 2011; Mudie 2002; Park 2018a; Park 2020; Saeys 2012; Shah 2016; Sharma 2017; Shin 2016; Van Criekinge 2020; Verheyden 2009; Yoo 2010). Of the 68 included trials, 23 had an unclear risk (Chung 2014; El‐Nashar 2019; Jung 2016b; Kim 2011; Ko 2016; Lee 2014a; Lee 2017a; Lee 2017b; Marzouk 2019; Park 2013; Park J 2017; Park 2018b; Rangari 2020; Renald 2016; Sarwar 2019; Seo 2012; Sheehy 2020; Shim 2020; Sun 2016; Thijs 2021; Varshney 2019; Viswaja 2015; Yu 2013). We assessed one trial as being at high risk due to between‐group baseline differences for the affected body side and Montreal Cognitive Assessment (MoCA) test (Cano‐Mañas 2020).
Effects of interventions
In order to determine the overall effectiveness of trunk training as well as the effectiveness when considering dose‐matched or non‐dose‐matched comparisons, we conducted different analyses. We evaluated the following comparisons of outcomes.
Outcome 1: effect of trunk training on activities of daily living;
Outcome 2: effect of trunk training on trunk function;
Outcome 3: effect of trunk training on arm‐hand function;
Outcome 4: effect of trunk training on arm‐hand activity;
Outcome 5: effect of trunk training on standing balance;
Outcome 6: effect of trunk training on leg function;
Outcome 7: effect of trunk training on walking ability;
Outcome 8: effect of trunk training on quality of life.
We performed a general analysis, an analysis with the different trunk training approaches, and an analysis within the different phases post stroke. The results for the general analysis can be found in forest plots in the Data and analyses section for the non‐dose‐matched therapy comparisons in Analysis 1.1; Analysis 1.2; Analysis 1.3; Analysis 1.4; Analysis 1.5; Analysis 1.6; Analysis 1.7; Analysis 1.8; Analysis 1.9; Analysis 1.10; Analysis 1.11; Analysis 1.12; Analysis 1.13; Analysis 1.14; Analysis 1.15; Analysis 1.16 and for the dose‐matched therapy comparisons in Analysis 2.1; Analysis 2.2; Analysis 2.3; Analysis 2.4; Analysis 2.5; Analysis 2.6; Analysis 2.7; Analysis 2.8; Analysis 2.9; Analysis 2.10; Analysis 2.11; Analysis 2.12; Analysis 2.13; Analysis 2.14; Analysis 2.15; Analysis 2.16; the results for the analysis with the different trunk training approaches can be found in Table 9 and the results for the different phases post stroke can be found in Table 10. For each outcome analysis, we have presented three sensitivity analyses (Table 11): a sensitivity analysis using a random‐effects model; a sensitivity analysis excluding trials with a high risk of bias; and a sensitivity analysis excluding trials for which we calculated mean change score using the pooled correlation coefficient, as described in Dealing with missing data, Sensitivity analysis and Included studies sections.
7. Effect of different therapy approaches.
Outcomes | Subgroup difference of different trunk‐training therapy approaches | Core‐stability training |
Electro‐ stimulation |
Selective‐trunk training | Static inclined‐surface training | Sitting‐reaching training | Unstable‐surface training | Weight‐shift training | Other types of trunk‐training | |
Activities of daily living (primary outcome) | Non‐dose‐matched therapy | P < 0.0001 |
79 participants (1 RCT) SMD 0.73, 95% CI 0.27 to 1.19) |
— |
— | — |
80 participants
(2 RCTs) SMD 2.69, 95% CI 2.00 to 3.39 |
48 participants
(1 RCT) SMD 0.61, 95% CI 0.03 to 1.19 |
— | 48 participants
(1 RCT) SMD 0.80, 95% CI 0.21 to 1.39 |
Dose‐matched therapy | P = 0.007 | 73 participants (1 RCT) SMD ‐0.19, 95% CI ‐0.66 to 0.28 |
30 participants
(1 RCT) SMD 0.30, 95% CI ‐0.46 to 1.07 |
56 participants
(2 RCTs) SMD 0.39, 95% CI ‐0.16 to 0.93 |
28 participants
(1 RCT) SMD ‐0.10, 95% CI ‐0.85 to 0.64 |
20 participants
(1 RCT) SMD 0.44, 95% CI ‐0.45 to 1.33 |
30 participants
(1 RCT) SMD ‐0.63, 95% CI ‐1.37 to 0.10 |
— |
22 participants
(1 RCT) SMD 1.77, 95% CI 0.76 to 2.79 |
|
Trunk function | Non‐dose‐matched therapy | P < 0.0001 | 99 participants
(2 RCTs) SMD 1.32, 95% CI 0.87 to 1.76 |
60 participants
(1 RCT) SMD 1.18, 95% CI 0.63 to 1.73 |
147 participants
(6 RCTs) SMD 1.42, 95% CI 1.03 to 1.80 |
— | 64 participants
(1 RCT) SMD 8.47, 95% CI 6.88 to 10.06 |
56 participants
(2 RCTs) SMD 2.11, 95% CI 1.40 to 2.81 |
40 participants
(2 RCTs) SMD 0.77, 95% CI 0.11 to 1.43 |
— |
Dose‐matched therapy | P = 0.001 | 297 participants
(8 RCTs) SMD 0.99, 95% CI 0.75 to 1.24 |
131 participants
(5 RCTs) SMD 1.57, 95% CI 1.16 to 1.98 |
281 participants (8 RCTs) SMD 1.46, 95% CI 1.18 to 1.73 |
58 participants
(2 RCTs) SMD 0.92, 95% CI 0.38 to 1.47 |
104 participants
(4 RCTs) SMD 0.44, 95% CI 0.02 to 0.87 |
375 participants
(11 RCTs) SMD 0.93, 95% CI 0.71 to 1.16 |
57 participants
(2 RCTs) SMD 1.10, 95% CI 0.54 to 1.67 |
22 participants
(1 RCT) SMD 1.38, 95% CI 0.43 to 2.33 |
|
Arm‐hand function | Non‐dose‐matched therapy | P = 0.11 | — | — | — | — | 64 participants
(1 RCT) SMD 0.55, 95% CI 0.05 to 1.05 |
— | 10 participants
(1 RCT) SMD 1.95, 95% CI 0.29 to 3.61 |
— |
Dose‐matched therapy | 1 trial | 19 participants
(1 RCT) SMD 0.76, 95% CI ‐0.18 to 1.70 |
— | — | — | — | — | — | — | |
Arm‐hand activity | Non‐dose‐matched therapy | P = 0.10 |
— |
— |
— |
— |
— |
— |
30 participants
(1 RCT) MD 1.00, 95% CI 0.17 to 1.83 |
26 participants
(1 RCT) MD 2.00, 95% CI 1.14 to 2.86 |
Dose‐matched therapy | P < 0.0001 |
— | — | 33 participants
(1 RCT) SMD 0.31, 95% CI ‐0.38 to 1.00 |
— | 53 participants
(1 RCT) SMD ‐0.46, 95% CI ‐1.01 to 0.09 |
— | — | 26 participants
(1 RCT) SMD 1.72, 95% CI 0.80 to 2.65 |
|
Standing balance | Non‐dose‐matched therapy | P < 0.0001 | 119 participants
(3 RCTs) SMD 0.83, 95% CI 0.45 to 1.21 |
60 participants
(1 RCT) SMD ‐0.88, 95% CI ‐1.41 to ‐0.35 |
61 participants
(3 RCTs) SMD 1.28, 95% CI 0.67 to 1.89 |
— | 64 participants
(1 RCT) SMD 6.14, 95% CI 4.94 to 7.34 |
48 participants
(1 RCT) SMD 0.32, 95% CI ‐0.25 to 0.89 |
10 participants
(1 RCT) SMD ‐1.80, 95% CI ‐3.40 to ‐0.20 |
48 participants
(1 RCT) SMD 0.34, 95% CI ‐0.23 to 0.91 |
Dose‐matched therapy | P < 0.001 | 403 participants
(8 RCTs) SMD 1.31, 95% CI 1.08 to 1.54 |
63 participants
(2 RCTs) SMD 0.51, 95% CI ‐0.00 to 1.03 |
171 participants
(4 RCTs) SMD 0.91, 95% CI 0.59 to 1.23 |
— | — | 261 participants
(7 RCTs) SMD 0.84, 95% CI 0.58 to 1.11 |
— |
48 participants
(2 RCTS) SMD 2.05, 95% CI 1.33 to 2.77 |
|
Leg function | Non‐dose‐matched therapy | — | — | — | — | — | 64 participants
(1 RCT) SMD 0.70, 95% CI 0.39 to 1.01 |
— | — | — |
Dose‐matched therapy | P = 0.002 | 199 participants
(2 RCTs) SMD 1.82, 95% CI 1.48 to 2.15 |
— | 55 participants
2 RCTs) SMD 0.64, 95% CI ‐0.01 to 1.30 |
— | — | — | — | — | |
Walking ability | Non‐dose‐matched therapy | P = 0.35 | 140 participants
(4 RCTs) SMD 0.51, 95% CI 0.17 to 0.85 |
60 participants
(1 RCT) SMD 1.02, 95% CI 0.48 to 1.56 |
82 participants
(3 RCTs) SMD 1.01, 95% CI 0.54 to 1.49 |
— | — | 22 participants
(1 RCT) SMD 0.60, 95% CI ‐0.29 to 1.49 |
10 participants
(1 RCT) SMD 1.31, 95% CI ‐0.13 to 2.76 |
48 participants
(1 RCT) SMD 0.45, 95% CI ‐0.12 to 1.03 |
Dose‐matched therapy | P = 0.06 | 86 participants
(4 RCTs) SMD 1.22, 95% CI 0.74 to 1.69 |
47 participants
(2 RCTs) SMD 0.32, 95% CI ‐0.26 to 0.89 |
226 participants
(6 RCTs) SMD 0.66, 95% CI 0.38 to 0.93 |
— | 32 participants
(2 RCTs) SMD 0.88, 95% CI 0.14 to 1.61 |
129 participants
(4 RCTs) SMD 0.41, 95% CI 0.06 to 0.77 |
17 participants
(1 RCT) SMD 0.27, 95% CI ‐0.69 to 1.23 |
26 participants
(1 RCT) SMD 1.37, 95% CI 0.50 to 2.24 |
|
Quality of life after stroke | Non‐dose‐matched therapy | P = 0.15 | — | 60 participants
(1 RCT) SMD 0.76, 95% CI 0.23 to 1.29 |
— |
— |
— |
— |
— |
48 participants
(1 RCT) SMD 0.20, 95% CI ‐0.37 to 0.76 |
Dose‐matched therapy | P = 0.12 | — | — |
57 participants
(1 RCT) SMD 0.47, 95% CI ‐0.06 to 1.00 |
— | — | 55 participants
(1 RCT) SMD 0.50, 95% CI ‐0.04 to 1.04 |
— | 26 participants
(1 RCT) SMD 1.49, 95% CI 0.61 to 2.38 |
|
Barthel Index | Non‐dose‐matched therapy | — | — | — | — | — | — | — | — | — |
Dose‐matched therapy | P < 0.0001 | 51 participants
(2 RCTs) MD 0.87, 95% CI ‐3.68 to 5.43 |
— | 56 participants
(2 RCTs) MD 7.12, 95% CI 1.01 to 13.22 |
— | — | 30 participants
(1 RCT) MD ‐5.30, 95% CI ‐11.13 to 0.53 |
— | 22 participants
(1 RCT) MD 29.90, 95% CI 16.67 to 43.13 |
|
Trunk Impairment Scale version 1.0 | Non‐dose‐matched therapy | P < 0.0001 | 20 participants
(1 RCT) MD 3.50, 95% CI 2.25 to 4.75 |
— | 130 participants
(5 RCTs) MD 3.10, 95% CI 2.53 to 3.68 |
— | — | 56 participants
(2 RCTs) MD 1.47, 95% CI 1.19 to 1.75 |
— | — |
Dose‐matched therapy | P < 0.001 | 255 participants
(7 RCTs) MD 2.06, 95% CI 1.59 to 2.53 |
131 participants
(5 RCTs) MD 2.90, 95% CI 2.35 to 3.44 |
168 participants
(5 RCTs) MD 1.92, 95% CI 1.54 to 2.30 |
— |
— | 273 participants
(8 RCTs) MD 1.53, 95% CI 1.16 to 1.89 |
— | — | |
Berg Balance Scale | Non‐dose‐matched therapy | P = 0.62 |
119 participants
(3 RCTs) MD 4.62, 95% CI 2.08 to 7.17 |
— | — | — | — | 48 participants
(1 RCT) MD 3.10, 95% CI ‐2.29 to 8.49 |
— | — |
Dose‐matched therapy | P = 0.001 | 308 participants
(5 RCTs) MD 2.11, 95% CI 1.77 to 2.45 |
63 participants
(2 RCTs) MD 0.85, 95% CI ‐0.57 to 2.28 |
75 participants
(2 RCTs) MD 1.75, 95% CI 0.28 to 3.22 |
— |
— | 176 participants
(5 RCTs) MD 3.38, 95% CI 2.59 to 4.18 |
— | 26 participants
(1 RCT) MD 4.18, 95% CI 2.60 to 5.76 |
|
Timed Up and Go Test | Non‐dose‐matched therapy | P < 0.0001 | 37 participants
(2 RCTs) MD ‐0.93, 95% CI ‐5.25 to 3.39 |
— | 94 participants
(3 RCTs) MD ‐0.18, 95% CI ‐0.51 to 0.15 |
— | — | 22 participants
(1 RCT) MD 7.10, 95% CI ‐1.31 to 15.51 |
10 participants
(1 RCT) MD ‐3.83, 95% CI ‐4.89 to ‐2.77 |
— |
Dose‐matched therapy | — | — | — | — | — | — | — | — | — | |
Tinetti gait scale | Non‐dose‐matched therapy | — |
— |
— |
— |
— |
—
|
— |
— |
— |
Dose‐matched therapy | P = 0.17 | — | 14 participants
(1 RCT) MD 1.50, 95% CI 0.38 to 2.63 |
157 participants
(3 RCTs) MD 2.43, 95% CI 1.72 to 3.14 |
— | — | — | — | — | |
Death and serious adverse events, including falls | Non‐dose‐matched therapy | Not applicable | Not estimable | — | 53 participants
(2 RCTs) OR 7.94, 95% CI 0.16 to 400.89 |
— | — | — | Not estimable | Not estimable |
Dose‐matched therapy | Not applicable |
Not estimable |
Not estimable |
Not estimable | Not estimable | 85 participants
(3 RCTs) OR 7.39, 95% CI 0.15 to 372.38 |
Not estimable | — | Not estimable |
|
RCT : randomised controlled trials |
8. Effect of phase post stroke.
Outcomes | Subgroup difference of time post stroke | Early subacute phase | Late subacute phase | Chronic phase | |
Activities of daily living (primary outcome) | Non‐dose‐matched | P = 0.01 | 143 participants (2 RCTs) SMD 1.45, 95% CI 1.04 to 1.86 |
89 participants (2 RCTs) SMD 0.69, 95% CI 0.26 to 1.12 |
— |
Dose‐matched | P = 0.07 | 150 participants (6 RCTs) SMD 0.21, 95% CI ‐0.13 to 0.55 |
30 participants (1 RCT) SMD ‐0.73, 95% CI ‐1.47 to 0.02 |
49 participants (2 RCTs) SMD 0.25, 95% CI ‐0.32 to 0.82 |
|
Trunk function | Non‐dose‐matched | P = 0.08 | 216 participants (5 RCTs) SMD 1.58, 95% CI 1.23 to 1.93 |
40 participants (2 RCTs) SMD 0.77, 95% CI 0.11 to 1.43 |
122 participants (5 RCTs) SMD 1.59, 95% CI 1.16 to 2.02 |
Dose‐matched | P = 0.10 | 402 participants (12 RCTs) SMD 1.00, 95% CI 0.78 to 1.21 |
93 participants (3 RCTs) SMD 1.56, 95% CI 1.08 to 2.05 |
601 participants (16 RCTs) SMD 1.03, 95% CI 0.85 to 1.21 |
|
Arm‐hand function | Non‐dose‐matched | P = 0.11 |
64 participants (1 RCT) SMD 0.55, 95% CI 0.05 to 1.05 |
10 participants (1 RCT) SMD 1.95, 95% CI 0.29 to 3.61 |
— |
Dose‐matched | — | — | — | 19 participants (1 RCT) SMD 0.76, 95% CI ‐0.18 to 1.70 |
|
Arm‐hand activity | Non‐dose‐matched | — |
— | 30 participants (1 RCT) SMD 0.84, 95% CI 0.09 to 1.59 |
— |
Dose‐matched | P = 0.08 | — | 33 participants (1 RCT) SMD 0.31, 95% CI ‐0.38 to 1.00 |
53 participants (1 RCT) SMD ‐0.46, 95% CI ‐1.01 to 0.09 |
|
Standing balance | Non‐dose‐matched | P < 0.0001 | 163 participants (3 RCTs) SMD 1.95, 95% CI 1.52 to 2.38 |
106 participants (3 RCTs) SMD 0.20, 95% CI ‐0.19 to 0.59 |
82 participants (4 RCTs) SMD 0.58, 95% CI 0.13 to 1.03 |
Dose‐matched | P < 0.0001 |
433 participants (9 RCTs) SMD 1.57, 95% CI 1.34 to 1.79 |
94 participants (3 RCTs) SMD 0.30, 95% CI ‐0.12 to 0.71 |
247 participants (6 RCTs) SMD 0.50, 95% CI 0.24 to 0.76 |
|
Leg function | Non‐dose‐matched | — | 64 participants (1 RCT) SMD 1.10, 95% CI 0.57 to 1.63 |
— | — |
Dose‐matched | P < 0.0001 | — | 29 participants (1 RCT) SMD ‐0.29, 95% CI ‐1.04 to 0.45 |
45 participants (2 RCTs) SMD 1.67, 95% CI 0.89 to 2.44 |
|
Walking ability | Non‐dose‐matched | P = 0.83 |
79 participants (1 RCT) SMD 0.78, 95% CI 0.32 to 1.24 |
80 participants (3 RCTs) SMD 0.58, 95% CI 0.12 to 1.03 |
139 participants (6 RCTs) SMD 0.66, 95% CI 0.31 to 1.02 |
Dose‐matched | P = 0.003 | 101 participants (4 RCTs) SMD 0.21, 95% CI ‐0.18 to 0.61 |
93 participants (3 RCTs) SMD 1.26, 95% CI 0.80 to 1.71 |
280 participants (9 RCTs) SMD 0.75, 95% CI 0.50 to 1.00 |
|
Quality of life after stroke | Non‐dose‐matched | — | — |
48 participants (1 RCT) SMD 0.20, 95% CI ‐0.37 to 0.76 |
— |
Dose‐matched | — | — | — |
85 participants (1 RCT) SMD 0.49, 95% CI 0.02 to 0.95 |
|
Barthel Index | Non‐dose‐matched | P = 0.62 | 79 participants (1 RCT) MD 13.17, 95% CI 5.30 to 21.04 |
96 participants (2 RCTs) MD 10.68, 95% CI 4.68 to 16.69 |
— |
Dose‐matched | P = 0.05 | 102 participants (4 RCTs) MD ‐2.49, 95% CI ‐5.25 to 0.28 |
— |
49 participants (2 RCTs) MD 2.44, 95% CI ‐1.72 to 6.60 |
|
Trunk Impairment Scale version 1.0 | Non‐dose‐matched | P = 0.008 |
112 participants (3 RCTs) MD 3.62, 95% CI 3.42 to 3.83 |
10 participants (1 RCT) MD 1.80, 95% CI 0.51 to 3.09 |
110 participants (4 RCTs) MD 3.07, 95% CI 2.43 to 3.71 |
Dose‐matched | P < 0.0001 | 258 participants (8 RCTs) MD 2.91, 95% CI 2.33 to 3.49 |
93 participants (3 RCTs) MD 3.18, 95% CI 2.42 to 3.95 |
412 participants (13 RCTs) MD 1.91, 95% CI 1.64 to 2.19 |
|
Berg Balance Scale | Non‐dose‐matched | P < 0.0001 |
143 participants (2 RCTs) MD 13.36, 95% CI 12.33 to 14.39 |
58 participants (2 RCTs) MD ‐1.74, 95% CI ‐2.96 to ‐0.53 |
73 participants (3 RCTs) MD 1.82, 95% CI 0.46 to 3.19 |
Dose‐matched | P < 0.0001 | 352 participants (6 RCTs) MD 4.17, 95% CI 3.69 to 4.65 |
63 participants (2 RCTs) MD 3.44, 95% CI ‐0.98 to 7.86 |
113 participants (4 RCTs) MD 0.29, 95% CI ‐0.11 to 0.69 |
|
Timed Up and Go Test | Non‐dose‐matched | P = 0.03 | — |
80 participants (3 RCTs) MD ‐0.52, 95% CI ‐0.82 to ‐0.22 |
90 participants (4 RCTs) MD 1.12, 95% CI ‐0.36 to 2.59 |
Dose‐matched | P = 0.002 | — |
32 participants (1 RCT) MD 12.34, 95% CI 3.97 to 20.71 |
47 participants (3 RCTs) MD ‐1.11, 95% CI ‐3.22 to 0.99 |
|
Death and serious adverse events, including falls | Non‐dose‐matched | Not applicable | — | Not estimable |
73 participants (3 RCTs) OR 3.44, 95% CI 0.13 to 91.79 |
Dose‐matched | Not applicable |
170 participants (6 RCTs) OR 7.94, 95% CI 0.16 to 400.89) |
Not estimable | Not estimable | |
RCT : randomised controlled trials |
9. Overview summary of findings sensitivity analysis.
Outcomes | Experimental training vs control group | Sensitivity analysis random‐effects model, overall effect | Sensitivity analysis excluding trials with high risk of bias on five ROB domains, overall effect | Sensitivity analysis excluding trials with calculated change scores, overall effect | |
Activities of daily living (primary outcome) | Non‐dose‐matched | 283 participants (5 RCTs) SMD 1.39, 95% CI 0.28 to 2.51 Grade ⨁◯◯◯ Very low |
283 participants (5 RCTs) SMD 1.28, 95% CI 0.16 to 2.41 Grade ⨁◯◯◯ Very low |
177 participants (3 RCTs) SMD 1.19, 95% CI 0.81 to 1.56 Grade ⨁◯◯◯ Very low |
191 participants (3 RCTs) SMD 0.73, 95% CI 0.49 to 1.08 Grade ⨁◯◯◯ Very low |
Dose‐matched | 229 participants (9 RCTs) SMD 0.10, 95% CI ‐0.17 to 0.37 Grade ⨁◯◯◯ Very low |
229 participants (9 RCTs) SMD 0.16, 95% CI ‐0.28 to 0.60 Grade ⨁◯◯◯ Very low |
149 participants (6 RCTs) SMD 0.19, 95% CI ‐0.15 to 0.52 Grade ⨁◯◯◯ Very low |
176 participants (7 RCTs) SMD 0.08, 95% CI ‐0.23 to 0.38 Grade ⨁◯◯◯ Very low |
|
Trunk function | Non‐dose‐matched | 466 participants (14 RCTs) SMD 1.46, 95% CI 1.26 to 1.71 Grade ⨁◯◯◯ Very low |
466 participants (14 RCTs) SMD 2.08, 95% CI 1.38 to 2.79 Grade ⨁◯◯◯ Very low |
368 participants (9 RCTs) SMD 1.37, 95% CI 1.12 to 1.62 Grade ⨁◯◯◯ Very low |
313 participants (9 RCTs) SMD 1.32, 95% CI 1.07 to 1.57 Grade ⨁◯◯◯ Very low |
Dose‐matched | 1217 participants (36 RCTs) SMD 1.03, 95% CI 0.91 to 1.16 Grade ⨁◯◯◯ Very low |
1217 participants (36 RCTs) SMD 1.15, 95% CI 0.89 to 1.40 Grade ⨁◯◯◯ Very low |
650 participants (21 RCTs) SMD 1.19, 95% CI 1.01 to 1.37 Grade ⨁◯◯◯ Very low |
846 participants (25 RCTs) SMD 1.13, 95% CI 0.98 to 1.29 Grade ⨁◯◯◯ Very low |
|
Arm‐hand function | Non‐dose‐matched | 74 participants (2 RCTs) SMD 0.67, 95% CI 0.19 to 1.15 Grade ⨁⨁◯◯ Low |
74 participants (2 RCTs) SMD 1.02, 95% CI ‐0.27 to 2.31 Grade ⨁⨁◯◯ Low |
64 participants (1 RCT) SMD 0.55, 95% CI 0.05 to 1.05 Grade ⨁⨁◯◯ Low |
64 participants (1 RCT) SMD 0.55, 95% CI 0.05 to 1.05 Grade ⨁⨁◯◯ Low |
Dose‐matched | 19 participants (1 RCT) SMD 0.76, 95% CI ‐0.18 to 1.70 Grade ⨁⨁◯◯ Low |
19 participants (1 RCT) SMD 0.76, 95% CI ‐0.18 to 1.70 Grade ⨁⨁◯◯ Low |
19 participants (1 RCT) SMD 0.76, 95% CI ‐0.18 to 1.70 Grade ⨁⨁◯◯ Low |
29 participants (2 RCTs) SMD 1.05, 95% CI 0.23 to 1.87 Grade ⨁⨁◯◯ Low |
|
Arm‐hand activity | Non‐dose‐matched | 30 participants (1 RCT) SMD 0.84, 95% CI 0.09 to 1.59 Grade ⨁◯◯◯ Very low |
30 participants (1 RCT) SMD 0.84, 95% CI 0.09 to 1.59 Grade ⨁◯◯◯ Very low |
30 participants (1 RCT) SMD 0.84, 95% CI 0.09 to 1.59 Grade ⨁◯◯◯ Very low |
30 participants (1 RCT) SMD 0.84, 95% CI 0.09 to 1.59 Grade ⨁◯◯◯ Very low |
Dose‐matched | 112 participants (3 RCTs) SMD 0.17, 95% CI ‐0.21 to 0.56 Grade ⨁◯◯◯ Very low |
112 participants (3 RCTs) SMD 0.48, 95% CI ‐0.68 to 1.63 Grade ⨁◯◯◯ Very low |
86 participants (2 RCTs) SMD ‐0.16, 95% CI ‐0.59 to 0.27 Grade ⨁◯◯◯ Very low |
112 participants (3 RCTs) SMD 0.17, 95% CI ‐0.21 to 0.56 Grade ⨁◯◯◯ Very low |
|
Standing balance | Non‐dose‐matched | 410 participants (11 RCTs) SMD 0.57, 95% CI 0.35 to 0.79 Grade ⨁◯◯◯ Very low |
410 participants (11 RCTs) SMD 1.05, 95% CI 0.15 to 1.94 Grade ⨁◯◯◯ Very low |
300 participants (7 RCTs) SMD 0.72, 95% CI 0.45 to 1.00 Grade ⨁◯◯◯ Very low |
512 participants (14 RCTs) SMD 0.59, 95% CI 0.40 to 0.77 Grade ⨁◯◯◯ Very low |
Dose‐matched | 917 participants (22 RCTs) SMD 1.00, 95% CI 0.86 to 1.15 Grade ⨁◯◯◯ Very low |
917 participants (22 RCTs) SMD 1.03, 95% CI 0.60 to 1.46 Grade ⨁◯◯◯ Very low |
254 participants (9 RCTs) SMD 0.87, 95% CI 0.60 to 1.14 Grade ⨁◯◯◯ Very low |
232 participants (7 RCTs) SMD 0.98, 95% CI 0.70 to 1.27 Grade ⨁◯◯◯ Very low |
|
Leg function | Non‐dose‐matched | 64 participants (1 RCT) SMD 1.10, 95% CI 0.57 to 1.63 Grade ⨁◯◯◯ Very low |
64 participants (1 RCT) SMD 1.10, 95% CI 0.57 to 1.63 Grade ⨁◯◯◯ Very low |
64 participants (1 RCT) SMD 1.10, 95% CI 0.57 to 1.63 Grade ⨁◯◯◯ Very low |
64 participants (1 RCT) SMD 1.10, 95% CI 0.57 to 1.63 Grade ⨁◯◯◯ Very low |
Dose‐matched | 254 participants (4 RCTs) SMD 1.57, 95% CI 1.28 to 1.87 Grade ⨁◯◯◯ Very low |
254 participants (4 RCTs) SMD 1.51, 95% CI 0.05 to 2.94 Grade ⨁◯◯◯ Very low |
74 participants (3 RCTs) SMD 0.65, 95% CI 0.11 to 1.18 Grade ⨁◯◯◯ Very low |
74 participants (3 RCTs) SMD 0.65, 95% CI 0.11 to 1.18 Grade ⨁◯◯◯ Very low |
|
Walking ability | Non‐dose‐matched | 383 participants (11 RCTs) SMD 0.73, 95% CI 0.52 to 0.94 Grade ⨁⨁◯◯ Low |
383 participants (11 RCTs) SMD 0.73, 95% CI 0.46 to 0.99 Grade ⨁⨁◯◯ Low |
309 participants (8 RCTs) SMD 0.77, 95% CI 0.53 to 1.00 Grade ⨁⨁⨁◯ Moderate |
209 participants (7 RCTs) SMD 0.80, 95% CI 0.51 to 1.09 Grade ⨁⨁⨁◯ Moderate |
Dose‐matched | 535 participants (19 RCTs) SMD 0.69, 95% CI 0.51 to 0.87 Grade ⨁⨁◯◯ Low |
535 participants (19 RCTs) SMD 0.74, 95% CI 0.47 to 1.01 Grade ⨁⨁◯◯ Low |
279 participants (11 RCTs) SMD 0.79, 95% CI 0.53 to 1.04 Grade ⨁⨁⨁◯ Moderate |
392 participants (13 RCTs) SMD 0.78, 95% CI 0.56 to 0.99 Grade ⨁⨁⨁◯ Moderate |
|
Quality of life after stroke | Non‐dose‐matched | 108 participants (2 RCTs) SMD 0.50, 95% CI 0.11 to 0.89 Grade ⨁⨁◯◯ Low |
108 participants (2 RCTs) SMD 0.49, 95% CI ‐0.06 to 1.04 Grade ⨁⨁◯◯ Low |
108 participants (2 RCTs) SMD 0.50, 95% CI 0.11 to 0.89 Grade ⨁⨁◯◯ Low |
— |
Dose‐matched | 111 participants (2 RCTs) SMD 0.70, 95% CI 0.29 to 1.11 Grade ⨁◯◯◯ Very low |
111 participants (2 RCTs) SMD 0.92, 95% CI ‐0.06 to 1.89 Grade ⨁◯◯◯ Very low |
— |
111 participants (2 RCTs) SMD 0.70, 95% CI 0.29 to 1.11 Grade ⨁◯◯◯ Very low |
|
Barthel Index | Non‐dose‐matched | 209 participants (4 RCTs) MD 11.58, 95% CI 6.80 to 16.35 Grade ⨁◯◯◯ Very low |
209 participants (4 RCTs) MD 11.58, 95% CI 6.80 to 16.35 Grade ⨁◯◯◯ Very low |
113 participants (2 RCTs) MD 13.11, 95% CI 5.25 to 20.97 Grade ⨁⨁◯◯ Low |
127 participants (2 RCTs) MD 13.15, 95% CI 6.57 to 19.73 Grade ⨁⨁◯◯ Low |
Dose‐matched | 151 participants (6 RCTs) MD 2.21, 95% CI ‐0.82 to 5.25 Grade ⨁⨁◯◯ Low |
151 participants (6 RCTs) MD 5.89, 95% CI ‐1.73 to 13.51 Grade ⨁⨁◯◯ Low |
101 participants (4 RCTs) MD ‐1.55, 95% CI ‐3.96 to 0.85 Grade ⨁◯◯◯ Very low |
98 participants (4 RCTs) MD ‐1.67, 95% CI ‐4.34 to 1,00 Grade ⨁⨁◯◯ Low |
|
Trunk Impairment Scale version 1.0 | Non‐dose‐matched | 280 participants (10 RCTs) MD 2.88, 95% CI 2.72 to 3.04 Grade ⨁◯◯◯ Very low |
280 participants (10 RCTs) MD 2.94, 95% CI 1.96 to 3.92 Grade ⨁◯◯◯ Very low |
194 participants (6 RCTs) MD 3.59, 95% CI 3.39 to 3.78 Grade ⨁◯◯◯ Very low |
204 participants (7 RCTs) MD 2.90, 95% CI 2.44 to 3.35 Grade ⨁◯◯◯ Very low |
Dose‐matched | 883 participants (26 RCTs) MD 1.87, 95% CI 1.66 to 2.08 Grade ⨁◯◯◯ Very low |
883 participants (26 RCTs) MD 2.33, 95% CI 1.73 to 2.94 Grade ⨁◯◯◯ Very low |
352 participants (13 RCTs) MD 2.49, 95% CI 2.13 to 2.85 Grade ⨁◯◯◯ Very low |
516 participants (16 RCTs) MD 2.90, 95% CI 2.56 to 3.24 Grade ⨁◯◯◯ Very low |
|
Modified Functional Reach test | Non‐dose‐matched | 82 participants (3 RCTs) MD 2.17, 95% CI 1.03 to 3.30 Grade ⨁◯◯◯ Very low |
82 participants (3 RCTs) MD 5.99, 95% CI 0.21 to 11.77 Grade ⨁◯◯◯ Very low |
54participants (2 RCTs) MD 1.77, 95% CI 0.61 to 2.93 Grade ⨁◯◯◯ Very low |
54 participants (2 RCTs) MD 1.77, 95% CI 0.61 to 2.93 Grade ⨁◯◯◯ Very low |
Dose‐matched | 112 participants (4 RCTs) MD 0.13, 95% CI 0.10 to 0.16 Grade ⨁◯◯◯ Very low |
112 participants (4 RCTs) MD 0.17, 95% CI ‐0.00 to 0.33 Grade ⨁◯◯◯ Very low |
74 participants (3 trials) MD 0.13, 95% CI 0.10 to 0.16 Grade ⨁◯◯◯ Very low |
Grade ⨁◯◯◯ Very low |
|
Berg Balance Scale | Non‐dose‐matched | 270 participants (7 RCTs) MD 5.75, 95% CI 5.06 to 6.43 Grade ⨁◯◯◯ Very low |
270 participants (7 RCTs) MD 4.76, 95% CI ‐1.55 to 11.06 Grade ⨁◯◯◯ Very low |
212 participants (5 RCTs) MD 9.23, 95% CI 8.40 to 10.06 Grade ⨁◯◯◯ Very low |
250 participants (6 RCTs) MD 0.67, 95% CI ‐0.24 to 1.59 Grade ⨁◯◯◯ Very low |
Dose‐matched | 647 participants (15 RCTs) MD 2.22, 95% CI 1.93 to 2.51 Grade ⨁◯◯◯ Very low |
647 participants (15 RCTs) MD 3.31, 95% CI 1.50 to 5.12 Grade ⨁◯◯◯ Very low |
138 participants (5 RCTs) MD 0.33, 95% CI ‐0.07 to 0.73 Grade ⨁◯◯◯ Very low |
286 participants (9 RCTs) MD 0.60, 95% CI 0.22 to 0.98 Grade ⨁◯◯◯ Very low |
|
Timed Up and Go Test | Non‐dose‐matched | 170 participants (7 RCTs) MD ‐0.46, 95% CI ‐0.75 to ‐0.17 Grade ⨁◯◯◯ Very low |
170 participants (7 RCTs) MD 0.34, 95% CI ‐2.17 to 2.85 Grade ⨁◯◯◯ Very low |
127 participants (4 RCTs) MD ‐0.19, 95% CI ‐0.50 to 0.11 Grade ⨁◯◯◯ Very low |
122 participants (6 RCTs) MD ‐2.05, 95% CI ‐2.90 to ‐1.19 Grade ⨁◯◯◯ Very low |
Dose‐matched | 99 participants (5 RCTs) MD ‐0.27, 95% CI ‐2.24 to 1.70 Grade ⨁◯◯◯ |
99 participants (5 RCTs) MD 0.31, 95% CI ‐4.49 to 5.12 Grade ⨁◯◯◯ Very low |
66 participants (3 RCTs) MD 0.15, 95% CI ‐1.96 to 2.27 Grade ⨁◯◯◯ Very low |
62 participants (3 RCTs) MD ‐0.16, 95% CI ‐2.28 to 1.97 Grade ⨁◯◯◯ Very low |
|
Tinetti Gait | Non‐dose‐matched | 146 participants (3 RCTs) MD 1.90, 95% CI 0.96 to 2.84 Grade ⨁⨁◯◯ Low |
146 participants (3 RCTs) MD 0.90, 95% CI 0.96 to 2.84 Grade ⨁⨁◯◯ Low |
— | — |
Dose‐matched | 171 participants (4 RCTs) MD 2.16, 95% CI 1.56 to 2.76 Grade ⨁⨁◯◯ Low |
171 participants (4 RCTs) MD 2.26, 95% CI 1.16 to 3.37 Grade ⨁⨁◯◯ Low |
— | — | |
Ten‐Meter Walk Test | Non‐dose‐matched | 49 participants (2 RCTs) MD 0.06, 95% CI ‐0.01 to 0.13 Grade ⨁◯◯◯ Very low |
49 participants (2 RCTs) MD 0.07, 95% CI ‐0.18 to 0.33 Grade ⨁◯◯◯ Very low |
49 participants (2 RCTs) MD 0.06, 95% CI ‐0.01 to 0.13 Grade ⨁◯◯◯ Very low |
29 participants (1 RCT) MD 0.06, 95% CI ‐0.01 to 0.13 Grade ⨁◯◯◯ Very low |
Dose‐matched | 97 participants (4 RCTs) MD 0.32, 95% CI 0.01 to 0.62 Grade ⨁◯◯◯ Very low |
97 participants (4 RCTs) MD 2.08, 95% CI 0.06 to 4.09 Grade ⨁◯◯◯ Very low |
31 participants (2 RCTs) MD 0.23, 95% CI ‐0.08 to 0.53 Grade ⨁◯◯◯ Very low |
55 participants (3 RCTs) MD 0.28, 95% CI ‐0.02 to 0.59 Grade ⨁◯◯◯ Very low |
|
Death and serious adverse events, including falls | Non‐dose‐matched | 201 participants (6 RCTs) OR 7.94, 95% CI 0.16 to 400.89 Grade ⨁◯◯◯ Very low |
201 participants (6 RCTs) OR 3.44, 95% CI 0.13 to 91.79 Grade ⨁◯◯◯ Very low |
151 participants (5 RCTs) OR 7.94, 95% CI 0.16 to 400.89 Grade ⨁◯◯◯ Very low |
151 participants (5 RCTs) OR 7.94, 95% CI 0.16 to 400.89 Grade ⨁◯◯◯ Very low |
Dose‐matched | 381 participants (10 RCTs) OR 7.39, 95% CI 0.15 to 372.38 Grade ⨁◯◯◯ Very low |
381 participants (10 RCTs) OR 3.55, 95% CI 0.12 to 105.82 Grade ⨁◯◯◯ Very low |
224 participants (7 RCTs) OR 7.39, 95% CI 0.15 to 372.38 Grade ⨁◯◯◯ Very low |
381 participants (10 RCTs) OR 7.39, 95% CI 0.15 to 372.38 Grade ⨁◯◯◯ Very low |
|
*The risk in the intervention group (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI). CI: confidence interval; OR: odds ratio; RCT: randomised controlled trials; ROB: Risk of bias; SD: standard deviation; SMD: standardised mean differences |
We calculated data using an inverse‐variance, fixed‐effect model, where a higher SMD or MD reflects effects in favour of trunk training, unless explicitly noted.
Primary outcome: effect of trunk training on activities of daily living
In five trials, participants received non‐dose‐matched therapy in the control group, favouring trunk training (SMD 0.96, 95% CI 0.69 to 1.24, P < 0.001, I² = 94%, 283 participants, very low‐quality evidence, Analysis 1.1, Table 1). In nine trials, participants in the control group received the same therapy amount as in the experimental group. Analysis for dose‐matched therapy did not favours trunk training (SMD 0.10, 95% CI ‐0.17 to 0.37, P < 0.048, I² = 62%, 229 participants, very low‐quality evidence, Analysis 2.1, Table 2).
Analysis for trials measuring activities of daily living with the Barthel Index for non‐dose‐matched therapy resulted in an MD of 11.58, 95% CI 6.80 to 16.35 (P < 0.001, I² = 0%, 4 trials, 209 participants, very low‐quality evidence, Analysis 1.10) favouring trunk training. Analysis for dose‐matched therapy also did not favour trunk training (MD 2.21, 95% CI ‐0.82 to 5.25, P < 0.001, I² = 81%, 6 trials, 151 participants, very low‐quality evidence, Analysis 2.10).
Egger's test and funnel plot suggest potential publication bias (Figure 4, Figure 5).
Effect of trunk training on activities of daily living: sensitivity analyses
Sensitivity analysis random‐effects model
Pooling data of five trials with 255 participants using the random‐effects model also resulted in a positive effect in favour of trunk training (SMD 1.39, 95% CI 0.28 to 2.51, P = 0.01, I² = 93%, very low‐quality evidence, random‐effects model, Table 11). There remained no evidence of an effect using the random‐effects model for the non‐dose‐matched analysis (SMD 0.16, 95% CI ‐0.28 to 0.60, P = 0.48, I² = 62%, 9 trials, 229 participants, very low‐quality evidence, random‐effects model, Table 11).
Activities of daily living measured with the Barthel Index (4 trials, 191 participants) also resulted in an effect in favour of trunk training for the (MD 11.02, 95% CI 6.55 to 15.49, P < 0.001, low‐quality evidence, I² = 0%, Table 11) and no evidence of an effect for the dose‐matched analysis (MD 5.89, 95% CI ‐1.73 to 13.51, P = 0.13, low‐quality evidence, I² = 81%, 6 trials, 151 participants, Table 11).
Sensitivity analysis risk of bias
In total, five trials scored high or unclear on five domains of risk of bias score on all outcomes of ADL.
After exclusion, pooling data of the non‐dose‐matched analysis still resulted in a positive effect in favour of trunk training (SMD 1.19, 95% CI 0.81 to 1.56, P < 0.001, I² = 97%, 3 trials, 177 participants, very low‐quality evidence, Table 11). Sensitivity analysis of activities of daily living measured with the Barthel Index also resulted a positive effect in favour of trunk training (MD 13.11, 95% CI 5.25 to 20.97, P = 0.001, I² = 0%, 2 trials, 113 participants, very low‐quality evidence, Table 11).
Excluding trials with a high risk of bias from the dose‐matched analysis did not changed the overall effect. There was no evidence of effect on activities of daily living (MD 0.19, 95% CI ‐0.15 to 0.52, P = 0.27, I² = 68%, 6 trials, 149 participants, very low‐quality evidence, Table 11) and on activities of daily living measured with the Barthel Index after exclusion of trials with high risk of bias (MD ‐1.55, 95% CI ‐3.96 to 0.85, P = 0.21, I² = 91%, 4 trials, 101 participants, very low‐quality evidence, Table 11).
Sensitivity analysis excluding calculated mean change scores trials
When conducting a sensitivity analysis in which we excluded trials where the change score has been calculated for this review, the overall effect remained positive in favour of trunk training for the non‐dose‐matched analysis (SMD 0.78, 95% CI 0.49 to 1.08, P < 0.001, I² = 0%, 3 trials, 191 participants, very low‐quality evidence, Table 11); and also for the non‐dose‐matched trials where activities of daily living were measured with the Barthel Index the effect, after deleting trials with the calculated mean change score, remained positive in favour of trunk training (SMD 13.15, 95% CI 6.57 to 19.73, P < 0.001, I² = 0%, 2 trials, 127 participants, very low‐quality evidence, Table 11).
Excluding the trials where the change scores were calculated did not change the overall effect in the dose‐matched analysis (SMD 0.08, 95% CI ‐0.23 to 0.38, P = 0.63, I² = 0%, 7 trials, 176 participants, very low‐quality evidence, Table 11) or for the dose‐matched analysis where activities of daily living measured with the Barthel Index revealed no evidence of an effect (MD ‐1.67, 95% CI ‐4.34 to 1.00, 4 trials, 98 participants, I² = 91%, low‐quality evidence, Table 11).
Effect of the different trunk therapy approaches on activities of daily living
Non‐dose‐matched therapy in both groups
Only one trial was available for trunk training approaches core‐stability training, unstable‐surface training and other types of trunk training (Table 9) and two trials for sitting‐reaching training (SMD 2.69, 95% CI 2.00 to 3.39, 80 participants, Table 9).
No data were available for electrostimulation, selective‐trunk training, static inclined‐surface training and weight‐shift training (Table 9).
Dose‐matched therapy in both groups
Training using the selective‐trunk training approach did not result in an effect in favour of selective‐trunk training on activities of daily living (SMD 0.39, 95% CI ‐0.16 to 0.93, P = 0.02, I² = 0%, 2 trials, 56 participants). However, there was evidence of an effect in favour of selective‐trunk training on activities of daily living when measured with the Barthel Index (MD 7.12, 95% CI 1.01 to 13.22, P = 0.77, I² = 0%, 2 trials, 56 participants). Core‐stability training had no effect on activities of daily living (SMD ‐0.19, 95% CI ‐0.66 to 0.28, P = 0.42, I² = 45%, 3 trials, 73 participants, Table 9).
Unstable‐surface trunk training, electrostimulation, static inclined‐surface training, sitting‐reaching training, and other approaches of trunk training were only evaluated in one trial (Table 9).
No data were available for evaluating the effect of weight‐shift training (Table 9).
Effect of trunk training on activities of daily living: time post‐stroke analysis
For two trials, no specific data were presented on time post stroke.
Non‐dose‐matched therapy in both groups
In both the early (143 participants) and late subacute phases (96 participants), participants received additional trunk therapy in only two trials. Because the number of trials is lower than six trials, the results are not discussed in this section (Table 10).
Dose‐matched therapy in both groups
Six trials with 150 participants were conducted in the early subacute phase, one trial with 30 participants in the late subacute phase and two trials with 49 participants in the chronic phase. Across comparisons, there was a non‐significant subgroup difference (P = 0.07) (Table 10).
Of the nine included trials, six trials used the Barthel Index. Four trials with 102 participants were undertaken in the early subacute phase and two trials with 49 participants in the chronic phase. The effect of trunk training on activities of daily living was different between the phases (early subacute and chronic) after stroke (P = 0.05, Table 10).
Effect of trunk training on activities of daily living: meta‐regression
There were no potential effect modifiers for study quality; age of participants; amount of additional training in both arms; amount of conventional therapy in both arms; length of intervention; pre‐intervention outcome level; different phases post stroke and time post stroke without intervention period (Table 12).
10. Meta‐regression.
Potential moderator |
Activities of daily living P value |
Trunk function P value |
Standing balance P value |
Walking ability P value |
|
Study quality | 0.1809 | 0.8629 | 0.9752 | 0.6939 | |
Year of publication | 0.7265 | 0.0518 | 0.3179 | 0.6312 | |
Length of intervention in weeks | 0.1251 | 0.8795 | 0.3691 | 0.0874 | |
Age of participants intervention group | 0.2589 | 0.6335 | 0.8254 | 0.8108 | |
Age of participants control group | 0.6161 | 0.3216 | 0.2937 | 0.8896 | |
Time post stroke intervention group | 0.9450 | 0.6152 | 0.4992 | 0.5584 | |
Time post stroke control group | 0.4574 | 0.5848 | 0.5264 | 0.5868 | |
Time post stroke complete group | 0.5687 | 0.8156 | 0.9044 | 0.8776 | |
Phase post stroke: | chronic phase | 0.1394 | 0.5298 | 0.6190 | 0.5856 |
early subacute phase | 0.1244 | 0.7021 | 0.537 | 0.6589 | |
late subacute phase | 0.0958 | 0.8987 | 0.1434 | 0.3738 | |
Amount of study therapy intervention group | 0.0942 | 0.2097 | 0.4126 | 0.7105 | |
Amount of study therapy control group | 0.1630 | 0.7780 | 0.3831 | 0.3831 | |
Amount of conventional therapy intervention group | 0.3153 | 0.3360 | 0.8678 | 0.6821 | |
Amount of conventional therapy control group | 0.3132 | 0.4192 | 0.7873 | 0.7000 | |
Difference in study therapy between groups (minutes of study training in experimental group minus minutes of study training in the control group) | 0.6410 | 0.0476* | 0.7973 | 0.6994 | |
Difference between conventional therapy between groups (minutes of conventional training in experimental group minus minutes of conventional training in the control group) | 0.1916 | 0.3613 | 0.4403 | 0.5888 | |
Pre‐intervention outcome intervention group | 0.2780 | 0.604 | 0.1888 | 0.2001 | |
Pre‐intervention outcome control group | 0.1886 | 0.6636 | 0.1562 | 0.1976 | |
Difference pre‐intervention outcome between groups | 0.0597 | 0.9191 | 0.1981 | 0.7784 | |
Publication bias | Test for funnel plot asymmetry: z = ‐2.5274, P = 0.0115* |
Test for funnel plot asymmetry: Z = 6.5306, P < 0.0001* |
Test for funnel plot asymmetry: Z = 5.7331, P < 0.0001* |
Test for funnel plot asymmetry: Z = 1.6478, P = 0.0994 |
*P < 0.05
Secondary outcome ‐ effect of trunk training on trunk function
In 14 trials, participants received non‐dose‐matched therapy, with an overall effect of SMD 1.46, 95% CI 1.26 to 1.71 (P < 0.001, I² = 89%, 466 participants, very low‐quality evidence, Analysis 1.2, Table 1). In the remaining 36 trials with 1217 participants, participants in the control group received dose‐matched therapy with an overall SMD 1.03, 95% CI 0.91 to 1.16 (P < 0.001, I² = 74%, very low‐quality evidence, Analysis 2.2, Table 2).
Ten trials measured trunk function using the Trunk Impairment Scale resulting in an effect in favour of the experimental group (MD 2.88, 95% CI 2.72 to 3.04, P < 0.001, I² = 95%, 280 participants, very low‐quality evidence, Analysis 1.11) for non‐dose‐matched therapy. In the trials where both groups received dose‐matched therapy, evidence was found in favour of trunk training (MD 1.87, 95% CI 1.66 to 2.08, P < 0.001, I² = 85%, 26 trials, 833 participants, very low‐quality evidence, Analysis 2.11).
Non‐dose‐matched therapy favours trunk training, measured using the modified Functional Reach test, with an effect of MD 2.17, 95% CI 1.03 to 3.30 (P < 0.001, I² = 91%, 3 trials, 82 participants, very low‐quality evidence, Analysis 1.12); dose‐matched training in both group favours trunk training with a lower effect of MD 0.13, 95% CI 0.10 to 0.16 (P < 0.001, I² = 91%, 4 trials, 112 participants, very low‐quality evidence, Analysis 2.12).
Egger's test and funnel plot suggest potential publication bias (Figure 6, Figure 7, Table 8).
Effect of trunk training on trunk function: sensitivity analyses
Sensitivity analysis random‐effects model
Performing the original analysis with a random‐effects model resulted, as in the main analysis, for the non‐dose‐matched analysis, in an overall positive effect of SMD 2.08, 95% CI 1.38 to 2.79 (P < 0.001, I² = 89%, 14 trials, 466 participants, very low‐quality evidence, Table 11) and also for the dose‐matched analysis in an overall positive effect SMD 1.15, 95% CI 0.89 to 1.40 (P < 0.001, I² = 74%, 36 trials, 1217 participants, very low‐quality evidence, Table 11).
The random‐effects model did not alter the effect of trunk function in favour of trunk training measured with the Trunk Impairment Scale 1.0 nor for the non‐dose‐matched analysis (MD 2.94, 95% CI 1.96 to 3.92, P < 0.001, 10 trials, 280 participants, I² = 95%, very low‐quality evidence, Table 11) nor for the dose‐matched analysis (MD 2.33, 95% CI 1.73 to 2.94, P < 0.001, 26 trials, 883 participants, I² = 85%, very low‐quality evidence, Table 11).
Evaluating the effect of the random‐effects model on the modified Functional Reach Test again did not change the positive effect of trunk training in the non‐dose‐matched analysis (MD 5.99, 95% CI 0.21 to 11.77, P = 0.04, I² = 91%, 3 trials, 82 participants, very low‐quality evidence, Table 11) or in the dose‐matched analysis (MD 0.17, 95% CI ‐0.00 to 0.33, P = 0.05, I² = 91%, 4 trials, 112 participants, very low‐quality evidence, Table 11).
Sensitivity analysis risk of bias
After excluding five trials due to a high risk of bias, the effect of trunk training stayed positive in favour of trunk training in the non‐dose‐matched analysis (SMD 1.37, 95% CI 1.13 to 1.62, P < 0.001, I² = 92%, 9 trials, 368 participants, very low‐quality evidence, Table 11) and positive in the dose‐matched analysis (SMD 1.19, 95% CI 1.01 to 1.37, P < 0.001, I² = 80%, 21 trials, 650 participants, very low‐quality evidence, with exclusion of 15 trials, Table 11).
The effect remained in favour of trunk training for the non‐dose‐matched analysis measured using the Trunk Impairment Scale 1.0 MD 3.59, 95% CI 3.39 to 3.78 (P < 0.001, I² = 88%, 6 trials, 194 participants, very low‐quality evidence, 1 trial excluded due to high risk of bias, Table 11) and positive for the dose‐matched analysis (SMD 2.49, 95% CI 2.13 to 2.85, P < 0.001, I² = 81%, 13 trials, 352 participants, very low‐quality evidence, 13 trials excluded due to high risk of bias, Table 11).
Excluding trials with a high risk of bias in the non‐dose‐matched analysis did not alter the evidence of an effect when measuring trunk function using the modified Functional Reach Test (MD 1.77, 95% CI 0.61 to 2.93, P < 0.001, I² = 90%, 2 trials, 54 participants, very low‐quality evidence, Table 11) nor for non‐dose‐matched analysis (MD 0.13, 95% CI 0.10 to 0.16, P < 0.001, I² = 99%, 3 trials, 74 participants, very low‐quality evidence, Table 11)
Sensitivity analysis excluding calculated mean change scores trials
When including trials where data for analysis was provided, an effect could still be seen in favour of trunk training in the non‐dose‐matched analysis (SMD 1.32, 95% CI 1.07 to 1.57, I² = 61%, 9 trials, 313 participants, very low‐quality evidence, Table 11) and in the dose‐matched analysis (SMD 1.13, 95% CI 0.98 to 1.29, I² = 77%, 35 trials, 846 participants, very low‐quality evidence, Table 11).
The sensitivity analysis of the Trunk Impairment Scale 1.0 did not alter the effect for the non‐dose‐matched analysis (effect in favour of trunk training, MD 2.90, 95% CI 2.44 to 3.35, I² = 85%, 7 trials, 204 participants, very low‐quality evidence, Table 11) nor for the dose‐matched analysis (effect in favour of trunk training, MD 2.90, 95% CI 2.59 to 3.24, I² = 78%, 16 trials, 516 participants, very low‐quality evidence, Table 11).
Trunk function measured using the modified Functional Reach did not change the direction of the effect for the non‐dose‐matched analysis (MD 2.17, 95% CI 1.03 to 3.03, P < 0.001, I² = 85%, 3 trials, 82 participants, very low‐quality evidence, Table 11) nor for the dose‐matched analysis (MD 0.13, 95% CI 0.10 to 0.16, P < 0.001, I² = 88%, 3 trials, 74 participants, very low‐quality evidence, Table 11).
Effect of the different trunk therapy approaches on trunk function
Non‐dose‐matched therapy in both groups
There was evidence of a positive effect on trunk function using core‐stability training (SMD 1.32, 95% CI 0.87 to 1.76, P < 0.001, I² = 70%, 2 trials, 99 participants, Table 9), electrostimulation (SMD 1.18, 95% CI 0.63 to 1.73, P < 0.001, 1 trial, 60 participants, Table 9), selective‐trunk training (SMD 1.42, 95% CI 1.03 to 1.80, P < 0.001, I² = 75%, 6 trials, 147 participants, Table 9), sitting‐reaching training (SMD 8.47, 95% CI 6.88 to 10.06, 1 trial, 64 participants), unstable‐surface training (SMD 2.11, 95% CI 1.40 to 2.81, P < 0.001, I² = 88%, 2 trials, 56 participants) and weight‐shift training on trunk function (SMD 0.77, 95% CI 0.11 to 1.43, P = 0.02, I² = 22%, 2 trials, 40 participants, Table 9).
There was evidence that the selective‐trunk training approach (MD 3.10, 95% CI 2.53 to 3.68, P < 0.001, I² = 89%, 5 trials, 130 participants, Table 9) and unstable‐surface training approach (MD 1.47, 95% CI 1.19 to 1.75, P < 0.001, I² = 72%, 2 trials, 56 participants, Table 9) had an effect on trunk function using the Trunk Impairment Scale 1.0.
Data on the effect of core stability on the Trunk Impairment Scale 1.0 were only available in one trial, so no further analysis could be conducted (Table 9).
No data were available for static inclined‐surface training and other approaches of trunk training (Table 9).
Dose‐matched therapy in both groups
There was evidence of a positive effect on trunk function (Table 9) when using weight‐shift training (SMD 1.10, 95% CI 0.54 to 1.67, P < 0.001, I² = 0%, 2 trials, 57 participants), unstable‐surface training (SMD 0.93, 95% CI 0.71 to 1.16, P < 0.001, I² = 83%, 11 trials, 375 participants), static inclined‐surface training (SMD 0.92, 95% CI 0.38 to 1.47, P < 0.001, I² = 0%, 2 trials, 58 participants, I² = 0%), sitting‐reaching training (SMD 0.44, 95% CI 0.02 to 0.87, P = 0.004, I² = 89%, 4 trials, 104 participants), selective‐trunk training (SMD 1.46, 95% CI 1.18 to 1.73, P < 0.001, I² = 41%, 8 trials, 281 participants), electrostimulation (SMD 1.57, 95% CI 1.16 to 1.98, P < 0.001, I² = 74%, 5 trials, 131 participants) and core‐stability training (SMD 0.99, 95% CI 0.75 to 1.24, P < 0.001, I² = 49%, 8 trials, 297 participants).
When trunk function was measured using the Trunk Impairment Scale 1.0, selective‐trunk training (MD 1.92, 95% CI 1.54 to 2.30, P < 0.001, I² = 92% 5 trials, 168 participants), electrostimulation (MD 2.90, 95% CI 2.35 to 3.44, P < 0.001, I² = 84%, 6 trials, 151 participants), unstable‐surface training (SMD 1.53, 95% CI 1.16 to 1.89, P < 0.001, I² = 91%, 8 trials, 273 participants), and core‐stability training (MD 2.06, 95% CI 1.60 to 2.53, P < 0.001, I² = 64%, 7 trials, 255 participants) all had a positive effect (Table 9).
Data on the effect of other approaches of trunk training were only available in one trial, so no further analysis could be conducted (Table 9).
Effect of trunk training on trunk function: time post‐stroke analysis
For eight trials, no specific data were presented of time post stroke.
Non‐dose‐matched therapy in both groups
Data from 12 studies (378 participants) could be pooled in the phase post‐stroke analysis for trials receiving non‐dose‐matched therapy evaluating the effect of trunk training on trunk function (Table 10). Time post stroke did not result in a significant subgroup difference (P = 0.08).
Trunk function measured by the Trunk Impairment Scale in non‐dose‐matched therapy trials yielded a significant group difference (P < 0.001, 8 trials, 232 participants, Table 10), meaning that phase post stroke significantly influenced the effect.
Dose‐matched therapy in both groups
Thirty‐one included trials where both groups received dose‐matched therapy could be pooled. Twelve trials with 402 participants were conducted in the early subacute phase (SMD 1.00, 95% CI 0.78 to 1.21, I² = 54%), three trials with 93 participants were included in the late rehabilitation phase (SMD 1.56, 95% CI 1.08 to 2.05, I² = 72%), and 16 trials with 601 participants in the chronic phase (SMD 1.03, 95% CI 0.85 to 1.21, I² = 74%). All comparisons demonstrated an effect in favour of trunk training, with a significant subgroup difference (P = 0.03, Table 10).
The Trunk Impairment Scale 1.0 was used in evaluation of trunk training. Again, all comparisons demonstrated an effect in favour of trunk training and phase post stroke was a modifier of the effect of the intervention on the Trunk Impairment Scale (P < 0.001, Table 10).
Phase post stroke was only measured in three trials by the modified Functional Reach test (Table 10). Due to the limited numbers, no subgroup analysis could be conducted.
Effect of trunk training on trunk function: meta‐regression
Difference between the intensity of therapy between groups (minutes of study training in the experimental group minus minutes of study training in the control group) was a significant effect modifier (P < 0.0476, Table 12). Study quality, age of participants, amount of additional training in both arms, length of intervention, pre‐intervention outcome level, different phases post stroke, and time post stroke without the intervention period were not potential modifiers.
Including intensity of therapy (differences in minutes of training between groups) as a modifier in a mixed‐effects model led to only a small part (0.028%) of the total heterogeneity being explained.
Secondary outcome ‐ effect of trunk training on arm‐hand function
Evidence of an effect of trunk training on arm‐hand function was found for the non‐dose‐matched analysis (SMD 0.67, 95% CI 0.19 to 1.15, P < 0.01, 2 trials, 74 participants, I² = 60, low‐quality evidence, Analysis 1.3, Table 11). No evidence of an effect of trunk training on arm‐hand function was found for the dose‐matched analysis (SMD 0.76, 95% CI ‐0.18 to 1.70, P = 0.11, 1 trial, 19 participants, low‐quality evidence, Analysis 2.3, Table 11).
Effect of trunk training on arm‐hand function: sensitivity analyses
Sensitivity analysis random‐effects model
Sensitivity analysis did modify the effect of trunk training for the non‐dose‐matched analysis (from evidence of an effect to no evidence of an effect), SMD 1.02, 95% CI ‐0.27 to 2.31, I² = 60%, 2 trials, 74 participants, low‐quality evidence, Table 11) but not for the dose‐matched analysis (SMD 0.76, 95% CI ‐0.18 to 1.70, 1 trial, 19 participants, low‐quality evidence, Table 11).
Sensitivity analysis risk of bias
One study was scored as high risk of bias. After exclusion, the result remained in favour of trunk training for the non‐dose‐matched analysis (SMD 0.55, 95% CI 0.05 to 1.05, P = 0.03, 1 trial, 64 participants, low‐quality evidence, Table 11). No trials were excluded in the dose‐matched analysis.
Sensitivity analysis excluding calculated mean change score trials
There were no trials with calculated mean change scores, therefore this sensitivity analysis is not applicable.
Effect of the different trunk therapy approaches on arm‐hand function
Non‐dose‐matched therapy in both groups
No data were available for core‐stability training, electrostimulation, selective‐trunk training, static inclined‐surface training, unstable‐surface training and other types of trunk training.
Weight‐shift training and sitting‐reaching training were evaluated in one trial (Table 9).
Dose‐matched therapy in both groups
Only data from one trial were available evaluating the effect of core stability on arm‐hand function (Table 9).
Effect of trunk training on arm‐hand function: time post‐stroke analysis and meta‐regression
Fewer than six trials could be retained. Therefore, a subgroup analysis is not appropriate.
Secondary outcome ‐ effect of trunk training on arm‐hand activity
The effect of trunk training on arm‐hand activity (30 participants) was examined in one non‐dose‐matched trial. Training had effect on arm‐hand activity (SMD 0.84, 95% CI 0.09 to 1.59, P = 0.03, low‐quality evidence, Analysis 1.4, Table 1). Pooling the results of three dose‐matched trials led to no evidence of an effect in favour of trunk training (SMD 0.17, 95% CI ‐0.21 to 0.56, P = 0.38, 3 trials, 112 participants, I² = 88%, low‐quality evidence, Analysis 2.4, Table 2).
Effect of trunk training on arm‐hand activity: sensitivity analyses
Sensitivity analysis random‐effects model
Pooling of the effect of the original analysis using a random‐effects model in three dose‐matched studies did not alter the overall effect (SMD 0.48, 95% CI ‐0.68 to 1.63, P = 0.42, I² = 88%, very low‐quality evidence, Table 11). Also, for the non‐dose‐matched analysis, the random‐effects model did not change the overall effect in the non‐dose‐matched analysis (SMD 0.84, 95% CI 0.09 to 1.59, P = 0.03, 1 trial, 30 participants, I² = 88%, very low‐quality evidence, Table 11).
Sensitivity analysis risk of bias
Only one study was excluded in the dose‐matched analysis because of a high risk of bias (Table 11). There was no evidence that risk of bias changed the effect of the overall effect on arm‐hand activity (SMD ‐0.16, 95% CI ‐0.59 to 0.27, P = 0.46, 2 trials, 86 participants, low‐quality evidence).
Sensitivity analysis excluding calculated mean change scores trials
Full data were provided for all four trials, therefore, it was not feasible to execute a sensitivity analysis.
Effect of the different trunk therapy approaches on arm‐hand activity
Non‐dose‐matched therapy in both groups
The effect of core stability, electrostimulation, selective‐trunk training, static inclined‐surface training, sitting‐reaching training and unstable‐surface training were not evaluated on arm‐hand function (Table 9).
The effect of weight‐shift training and other types of trunk training were only measured in one trial for the outcome (Table 9).
Dose‐matched therapy in both groups
The effect of dose‐matched core stability, electrostimulation, static inclined‐surface training, sitting‐reaching training, unstable‐surface training and weight‐shift training were not evaluated on arm‐hand function (Table 9).
The effect of selective‐trunk training, sitting‐reaching training and other types of trunk training were evaluated in only one trial (Table 9).
Effect of trunk training on arm‐hand activity: time post‐stroke analysis and meta‐regression
Fewer than six trials could be retained. Therefore, a subgroup analysis is not appropriate.
Secondary outcome ‐ effect of trunk training on standing balance
In the analysis of trials, non‐dose‐matched therapy showed an effect on standing balance in favour of trunk training (SMD 0.57, 95% CI 0.35 to 0.79, P < 0.001, I² = 93%, 11 trials, 411 participants, very low‐quality of evidence, Analysis 1.5, Table 11). In the dose‐matched therapy analysis, trunk training led to a positive effect of SMD 1.00, 95% CI 0.85 to 1.15 (P < 0.001, I² = 88%, 22 trials, 919 participants, low‐quality evidence, Analysis 2.5, Table 11).
Of that group where results were measured by means of the Berg Balance Scale, pooling seven trials that provided non‐dose‐matched therapy in the control group led to a positive effect of MD 5.75, 95% CI 5.06 to 6.42 (P < 0.001, I² = 98%, 7 trials, 270 participants, very low‐quality evidence, Analysis 1.13). Fifteen trials evaluated the effect of dose‐matched trunk training using the Berg Balance Scale with an MD 2.22, 95% CI 1.93 to 2.51 (P < 0.001, I² = 96%, 15 trials, 648 participants, very low‐quality evidence, Analysis 2.13).
Egger's test and funnel plot suggest potential publication bias (Figure 8, Figure 9, Table 8).
Effect of trunk training on standing balance: sensitivity analyses
Sensitivity analysis random‐effects model
When performing the sensitivity analysis, pooling the result using the random‐effects model resulted likewise in favour of trunk training for the outcome standing balance for the non‐dose‐matched analysis (SMD 1.05, 95% CI 0.15 to 1.94, P = 0.02, 11 trials, 410 participants, I² = 93%, low‐quality evidence, Table 11) and for the dose‐matched analysis (SMD 1.03, 95% CI 0.60 to 1.46, P < 0.001, 22 trials, 917 participants, I² = 88%, low‐quality evidence, Table 11).
Standing balance, measured by means of the Berg Balance Scale, also resulted in an effect in favour of trunk training in the dose‐matched analysis (MD 3.31, 95% CI 1.50 to 5.12, P < 0.001, 15 trials, 647 participants, I² = 96%, low‐quality evidence, Table 11) but not for the non‐dose‐matched analysis (MD 4.76, 95% CI ‐1.55 to 11.06, P = 0.14, I² = 98%, low‐quality evidence, Table 11).
Sensitivity analysis risk of bias
Of the 11 studies evaluating standing balance in the non‐dose‐matched analysis, four were evaluated as studies with a high risk of bias. After excluding these studies, the direction of the overall effect did not alter (SMD 0.72, 95% CI 0.45 to 1.00, P < 0.001, I² = 96%, 7 trials, 300 participants, very low‐quality evidence, Table 11, Table 6). In the analysis of dose‐matched therapy in the two groups, 13 trials were removed because of high risk of bias. The direction of effect remained in favour of trunk training here as well (SMD 0.87, 95% CI 0.60 to 1.14, P < 0.001, I² = 75%, 9 trials, 254 participants, very low‐quality evidence, Table 11, Table 6).
There was evidence of an effect for trials reporting the Berg Balance Scale in the non‐dose‐matched trials subgroup (MD 9.23, 95% CI 8.40 to 10.06, P < 0.001, I² = 98%, 5 trials, 212 participants), and no evidence of an effect in favour of trunk training when both groups received dose‐matched therapy (MD 0.33, 95% CI ‐0.07 to 0.73, P = 0.10, I² = 69%, 5 trials, 139 participants).
Sensitivity analysis excluding calculated mean change scores trials
Combining the trials where all data was provided did not alter the direction of the effect in favour of trunk training in the non‐dose‐matched analysis (SMD 0.59, 95% CI 0.40 to 0.77, P < 0.001, I² = 84%, 14 trials, 512 participants, low‐quality evidence, Table 11). Subgroup analysis showed a significant effect of therapy amount in the control group (P = 0.02). There was evidence of an effect when both groups received dose‐matched therapy (SMD 0.98, 95% CI 0.70 to 1.27, P < 0.001, I² = 77%, 7 trials, 232 participants, Table 11).
Excluding trials where all data were provided using the Berg Balance Scale also did not alter the positive effect in the dose‐matched analysis (MD 0.60, 95% CI 0.22 to 0.98, P < 0.001, I² = 83%, 9 trials, 286 participants, very low‐quality evidence, Table 11). However, it resulted in an alteration towards no effect in the non‐dose‐matched analysis (MD 0.67, 95% CI ‐0.24 to 1.59, P = 0.15, I² = 94%, 6 trials, 250 participants, very low‐quality evidence, Table 11).
Effect of the different trunk therapy approaches on standing balance
Non‐dose‐matched therapy in both groups
There was evidence of an effect of core stability on standing balance (SMD 0.83, 95% CI 0.45 to 1.21, P < 0.001, I² = 59%, 3 trials, 120 participants, Table 9), and an effect of core stability on standing balance measured using the Berg Balance Scale (MD 4.62, 95% CI 2.08 to 7.17, P < 0.001, I² = 87%, 3 trials, 119 participants, Table 9). Selective‐trunk training had a positive effect on standing balance (SMD 1.28, 95% CI 0.67 to 1.89, P < 0.001, I² = 86%, 3 trials, 61 participants, Table 9).
Only one trial determined the effect on standing balance when using sitting‐reaching training, unstable‐surface training, weight‐shift training, or other approaches of trunk training (Table 9).
The effect of electrostimulation on standing balance was not evaluated (Table 9).
Dose‐matched therapy in both groups
Core‐stability training (SMD 1.31, 95% CI 1.08 to 1.54, P < 0.001, I² = 93%, 8 trials, 403 participants), selective‐trunk training (SMD 0.91, 95% CI 0.59 to 1.23, P < 0.001, I² = 0%, 4 trials, 171 participants) and unstable‐surface training (SMD 0.84, 95% CI 0.58 to 1.11, P < 0.001, I² = 86%, 7 trials, 261 participants) all had a positive effect in favour of the trunk training approach on standing balance (Table 9). There was no evidence of an effect of electrostimulation on standing balance (SMD 0.51, 95% CI ‐0.00 to 1.03, P = 0.05, I² = 26%, 2 trials, 63 participants).
Combining the results of the sitting‐boxing programme and motor imagery trunk training led to a positive effect for standing balance (SMD 2.05, 95% CI 1.33 to 2.77, P < 0.001, I² = 0%, 2 trials, 48 participants, Table 9).
Only data from one trial of weight‐shift training were available (Table 9).
No trials evaluated the effect of sitting‐reaching training and static inclined‐surface training on standing balance (Table 9).
The effect of core‐stability training on standing balance measured using the Berg Balance Scale resulted in a positive effect in favour of the trunk training approach (MD 2.11, 95% CI 1.77 to 2.45, P < 0.001, I² = 98%, 7 trials, 308 participants, Table 9). Also, selective‐trunk training resulted in an effect in favour of standing balance measured using the Berg Balance Scale (MD 1.75, 95% CI 0.28 to 3.22, P = 0.02, I² = 84%, 2 trials, 75 participants). Unstable‐surface trunk training had a positive effect on standing balance evaluated by the Berg Balance Scale (MD 3.38, 95% CI 2.59 to 4.18, P < 0.001, I² = 95%, 5 trials, 176 participants, Table 9).
Effect of trunk training on standing balance: time post‐stroke analysis
For five trials, no specific data were presented for time post stroke.
Non‐dose‐matched therapy in both groups
In 10 of the remaining 26 trials, non‐dose‐matched therapy (351 participants) was offered to the control group. A significant subgroup difference was present (P < 0.001), meaning that time post stroke significantly influences the direction and the size of the effect (Table 10).
The Berg Balance Scale was evaluated in 7 trials (271 participants). Also here, across comparisons, there was a significant subgroup difference (P < 0.001, Table 10).
Dose‐matched therapy in both groups
Of the 26 remaining trials, 18 trials received dose‐matched therapy (775 participants, Table 10). We found a significant subgroup difference (P < 0.001). This suggested that phase post stroke modified the effect of the intervention.
Across comparisons, there was a significant subgroup difference for standing balance evaluated by means of the Berg Balance Scale (P < 0.001, Table 10). In this analysis, phase post stroke had an influence on size and direction of the effect.
Effect of trunk training on standing balance: meta‐regression
Study quality, age of participants, amount of additional training in both arms, amount of conventional therapy in both arms, length of intervention, pre‐intervention outcome level, different phases post stroke, and time post stroke without an intervention period were not potential effect modifiers (Table 12).
Secondary outcome ‐ effect of trunk training on leg function
One trial (64 participants) provided additional training in the experimental group favouring trunk training (SMD 1.10, 95% CI 0.57 to 1.63, P < 0.001, very low‐quality evidence, Analysis 1.6). Four trials (254 participants) provided the same therapy amount in both study arms favouring trunk training (SMD 1.57, 95% CI 1.28 to 1.87, P < 0.001, I² = 93%, very low‐quality evidence, Analysis 2.6).
Effect of trunk training on leg function: sensitivity analyses
Sensitivity analysis random‐effects model
In the random‐effects sensitivity analysis, the overall effect remained in favour of trunk training on leg function in the non‐dose‐matched analysis (SMD 1.10, 95% CI 0.57 to 1.63, P < 0.001, very low‐quality evidence, Table 11) and in dose‐matched analysis (SMD 1.51, 95% CI 0.05 to 2.96, P = 0.04, very low‐quality evidence, Table 11).
Sensitivity analysis risk of bias
The trial in the non‐dose‐matched analysis had an acceptable risk of bias. Three trials in the dose‐matched analysis had acceptable risk of bias and showed also an effect in favour of trunk training (SMD 0.65, 95% CI 0.11 to 1.18, P < 0.001, I² = 93%, 3 trials, 74 participants, low‐quality evidence, Table 11).
Sensitivity analysis excluding calculated mean change score trials
All information (mean change scores and their standard deviations) were provided for these trials, therefore, this sensitivity analysis is not applicable.
Effect of the different trunk therapy approaches on leg function
Non‐dose‐matched therapy in both groups
For sitting‐reaching training, only data from one trial were available. No further analysis could be conducted.
Dose‐matched therapy in both groups
Core‐stability training had a positive effect on leg function (SMD 1.82, 95% CI 1.48 to 2.15, P < 0.001, I² = 86%, 2 trials, 199 participants, Table 9). For leg function, there was no evidence of an effect (SMD 0.64, 95% CI ‐0.01 to 1.30, P = 0.06, I² = 96%, 2 trials, 55 participants, Table 9) when applying selective‐trunk training.
Effect of trunk training on leg function: time post‐stroke analysis and meta‐regression
Fewer than six trials could be retained. Therefore, a subgroup analysis is not appropriate.
Secondary outcome ‐ effect of trunk training on walking ability
In this review, the results of 11 trials could be pooled (383 participants) for the non‐dose‐matched analysis. Trunk training resulted in an overall effect of SMD 0.73, 95% CI 0.52 to 0.94 (P < 0.001, I² = 30%, low‐quality evidence, Analysis 1.7). In the dose‐matched analysis, trunk training also resulted in a positive effect (SMD 0.69, 95% CI 0.51 to 0.87, P < 0.001, 19 trials, 535 participants, I² = 51%, very low‐quality evidence, Analysis 2.7). Egger's test and funnel plot suggest no potential publication bias (Figure 10, Figure 11, Table 12).
Walking ability was evaluated by the Timed Up and Go in seven trials (170 participants) in the non‐dose‐matched analysis and evidence of an effect was found in favour of trunk training (MD ‐0.46, 95% CI ‐0.75 to ‐0.17, P = 0.002, I² = 93%, very low‐quality of evidence, with a lower MD reflecting effects in favour of trunk training, Analysis 1.14). There was no evidence of an effect in favour of trunk training in the dose‐matched analysis (MD ‐0.27, 95% CI ‐2.24 to 1.70, P = 0.79, I² = 66%, very low‐quality of evidence, with a lower MD reflecting effects in favour of trunk training, Analysis 2.14).
Evidence was found in favour of trunk training for walking ability assessed using the subpart gait of the Tinetti Scale in the non‐dose‐matched analysis (MD 1.90, 95% CI 0.96 to 2.84, P < 0.001, 3 trials, 146 participants, I² = 0%, low‐quality evidence, Analysis 1.15) and in the dose‐matched analysis (MD 2.16, 95% CI 1.56 to 2.76, P < 0.001, 4 trials, 171 participants, I² = 69%, low‐quality evidence, Analysis 2.15).
Walking ability was evaluated by means of the Ten‐Meter Walk Test in six trials. There was no evidence of an effect in favour of trunk training for the non‐dose‐matched analysis (MD 0.06, 95% CI ‐0.01 to 0.13, P = 0.08, I² = 2%, 2 trials, 49 participants, very low‐quality evidence, Analysis 1.16) but there was evidence of an effect for dose‐matched analysis (MD 0.32, 95% CI 0.01 to 0.62, P = 0.04, I² = 80%, 4 trials, 97 participants, very low‐quality evidence, Analysis 2.16).
Effect of trunk training on walking ability: sensitivity analyses
Sensitivity analysis random‐effects model
Sensitivity analysis using the random‐effects model did not alter the overall positive effect for both the non‐dose‐matched analysis (SMD 0.73, 95% CI 0.46 to 0.99, P < 0.001, I² = 30%, 11 trials, 383 participants, very low‐quality evidence, random‐effects model, Table 11) and for the dose‐matched analysis (SMD 0.74, 95% CI 0.47 to 1.01, P < 0.001, I² = 51%, 19 trials, 535 participants, very low‐quality evidence, random‐effects model, Table 11).
Sensitivity analysis of walking ability evaluated by the Timed Up and Go changed the effect to a non‐significant result of MD 0.34, 95% CI ‐2.17 to 2.85 in the non‐dose‐matched analysis (P = 0.79, I² = 93%, 7 trials, 170 participants, very low‐quality evidence, Table 11) and in the dose‐matched analysis (MD 0.31, 95% CI ‐4.49 to 5.12, P = 0.90, I² = 66%, 5 trials, 99 participants, very low‐quality evidence, Table 11).
Sensitivity analysis did not alter the effect that was found in favour of trunk training for walking ability assessed using the gait part of the Tinetti Scale for both the non‐dose‐matched (MD 1.90, 95% CI 0.96 to 2.84, P < 0.001, I² = 0%, 3 trials, 146 participants, very low‐quality evidence, Table 11) and for the dose‐matched analysis (MD 2.26, 95% CI 1.16 to 3.37, P < 0.001, I² = 69%, 4 trials, 171 participants, very low‐quality evidence, Table 11).
Walking ability measured by means of the Ten‐Meter Walk Test altered the result to a non‐significant effect for the non‐dose‐matched analysis (MD 0.07, 95% CI ‐0.18 to 0.33, P = 0.57, I² = 2%, 2 trials, 49 participants, Table 11) but not for the dose‐matched analysis (MD 2.08, 95% CI 0.06 to 4.09, P = 0.04, I² = 80%, 4 trials, 97 participants, Table 11).
Sensitivity analysis risk of bias
Eleven trials were excluded due to high risk of bias.
Exclusion of the trials due to high risk of bias in the non‐dose‐matched analysis resulted as well in an effect in favour of trunk training of SMD 0.77, 95% CI 0.53 to 1.00 (P < 0.001, I² = 38%, 8 trials, 309 participants, very low‐quality evidence, Table 11) and an effect in favour of trunk training in the dose‐matched analysis SMD 0.79, 95% CI 0.53 to 1.04 (P < 0.001, I² = 62%, 11 trials, 279 participants, very low‐quality evidence, Table 11).
For the Timed Up and Go, three trials were excluded in the non‐dose‐matched analysis due to high risk of bias. Pooling the remaining trials led to an alteration of the effect (MD ‐0.19, 95% CI ‐0.50 to 0.11, P = 0.21, I² = 92%, 4 trials, 127 participants, Table 11). We found no evidence of an effect in the dose‐matched analysis (MD 0.15, 95% CI ‐1.96 to 2.27, P = 0.89, I² = 77%, 3 trials, 66 participants, low‐quality evidence, Table 11).
Two trials were excluded due to high risk of bias; because of the small number of included trials, no further analysis could be conducted for the outcome using the Ten‐Meter Walk Test and the Tinetti Gait.
Sensitivity analysis excluding calculated mean change score trials
The change score was calculated in 12 trials. Excluding these trials resulted in no alteration of the direction of the effect in the non‐dose‐matched analysis (in favour of trunk training, SMD 0.80, 95% CI 0.51 to 1.09, P < 0.001, 7 trials, 209 participants, I² = 43%, moderate‐quality evidence, Table 11) and in favour of trunk training in the dose‐matched analysis (SMD 0.78, 95% CI 0.56 to 0.99, P < 0.001, 13 trials, 392 participants, I² = 46%, moderate‐quality evidence, Table 11).
After excluding one trial where mean change score was calculated in the non‐dose‐matched analysis, the direction of the overall effect did not change for trials reporting on Timed Up and Go (MD ‐2.05, 95% CI ‐2.90 to ‐1.19, P < 0.001, I² = 93%, 6 trials, 122 participants, very low‐quality of evidence, with a lower MD reflecting effects in favour of trunk training, Table 11). For the dose‐matched analysis two trials were excluded, however, the result of no evidence of an effect remained in this analysis (MD ‐0.16, 95% CI ‐2.28 to 1.97, P = 0.88, I² = 82%, 3 trials, 62 participants, very low‐quality of evidence, with a lower MD reflecting effects in favour of trunk training, Table 11).
Effect of the different trunk therapy approaches on walking ability
Non‐dose‐matched therapy in both groups
There was evidence of an effect on walking ability (Table 9) when applying core‐stability training (SMD 0.51, 95% CI 0.17 to 0.8, P = 0.003, I² = 0%, 4 trials, 140 participants) and selective‐trunk training (SMD 1.01, 95% CI 0.54 to 1.49, P < 0.001, I² = 69%, 3 trials, 82 participants).
Only data of one trial were available for electrostimulation, unstable‐surface training, and other approaches of trunk training, so no further analysis was applicable (Table 9).
No data were available for the trunk training approach sitting‐reaching training, or static inclined‐surface training (Table 9).
Dose‐matched therapy in both groups
Core‐stability training had a positive effect on walking ability (SMD 1.22, 95% CI 0.74 to 1.69, P < 0.001, I² = 22%, 4 trials, 86 participants, Table 9). sitting‐reaching training (SMD 0.88, 95% CI 0.14 to 1.61, P = 0.02, I² = 0%, 2 trials, 32 participants, Table 9) and unstable‐surface training (SMD 0.41, 95% CI 0.06 to 0.77, P = 0.02, I² = 60%, 4 trials, 129 participants) also had a positive effect on walking ability.
There was no evidence of an effect when pooling trials using electrostimulation (SMD 0.32, 95% CI ‐0.26 to 0.89, P = 0.28, I² = 0%, 2 trials, 47 participants, Table 9).
Training using the selective‐trunk training approach resulted in a positive effect in favour of selective‐trunk training on walking ability (SMD 0.66, 95% CI 0.38 to 0.93, P < 0.001, I² = 63%, 6 trials, 226 participants, Table 9) and walking ability measured using Tinetti Gait (MD 2.43, 95% CI 1.72 to 3.14, P < 0.001, I² = 74%, 3 trials, 157 participants, Table 9).
For electrostimulation, the outcome of Tinetti gait (Table 9) and the outcome of weight‐shift training and other approaches of trunk training on walking ability was assessed in one trial, therefore, no further analysis was conducted for electrostimulation (Table 9).
There were no data available using the static inclined‐surface training (Table 9).
Effect of trunk training on walking ability: time post‐stroke analysis
Of all studies, 24 studies could be assigned into the different phases after a stroke.
Non‐dose‐matched therapy in both groups
Participants in ten trials received different dose of therapies in both groups. There was no significant subgroup difference (P = 0.83).
Walking ability was measured in seven trials using the Timed Up and Go test (lower score presenting better outcome). There was a subgroup effect by time post stroke (P = 0.03), suggesting that phase post stroke significantly influences the direction of the effect or effect size (Table 10).
Walking ability was evaluated in only three trials by means of the Tinetti Gait. Due to the limited number of trials for these outcomes, no further analysis was executed.
Dose‐matched therapy in both groups
There was a significant subgroup difference (P = 0.003), suggesting that phase post stroke did significantly influence the effect of the intervention (Table 10).
Also, here walking ability was evaluated in four trials by means of the Timed Up and Go test and in three trials by means of the Tinetti Gait. Due to the limited number of trials for these outcomes, no further analysis was executed.
Effect of trunk training on walking ability: meta‐regression
Study quality; age of participants; amount of additional training in both arms; amount of conventional therapy in both arms; length of intervention; pre‐intervention outcome level; different phases post stroke and time post stroke without an intervention period were not potential effect modifiers (Table 12).
Secondary outcome ‐ effect of trunk training on quality of life
Two trials (108 participants) evaluated the effect of trunk training on quality of life. Meta‐analysis resulted in a SMD of 0.50, 95% CI 0.11 to 0.89 for the non‐dose‐matched analysis (P = 0.01, I² = 51%, low‐quality evidence, Analysis 1.8, Table 1). Pooling two other trials with dose‐matched therapy in the experimental and control group resulted in evidence of an effect in favour of trunk training (SMD 0.70, 95% CI 0.29 to 1.11, P < 0.001, I² = 74%, 111 participants, low‐quality evidence, Analysis 2.8, Table 2).
Effect of trunk training on quality of life: sensitivity analyses
Sensitivity analysis random‐effects model
Results of the sensitivity analysis differed from the main analyses in both the non‐dose‐matched analysis (SMD 0.49, 95% CI ‐0.06 to 1.04 in favour of trunk training, alteration from evidence of an effect to no evidence of an effect, P = 0.08, I² = 51%, 2 trials, 108 participants, low‐quality evidence, Table 11) and also in the dose‐matched analysis (SMD 0.92, 95% CI ‐0.06 to 1.89 in favour of trunk training, alteration from evidence of an effect to no evidence of an effect, P = 0.07, I² = 74%, 2 trials, 111 participants, low‐quality evidence, Table 11).
Sensitivity analysis risk of bias
No trials were excluded in the non‐dose‐matched analysis (SMD 0.50, 95% CI 0.11 to 0.89, P = 0.01, I² = 51%, 108 participants, Table 11). Both trials scored high on risk of bias analysis in the dose‐matched analysis.
Sensitivity analysis excluding calculated mean change score trials
Both change scores were calculated in the non‐dose‐matched analysis and none in the dose‐matched analysis (SMD 0.70, 95% CI 0.29 to 1.11, P < 0.001, I² = 74%, 111 participants, low‐quality evidence, Table 11).
Effect of the different trunk therapy approaches on quality of life
Non‐dose‐matched therapy in both groups
The effect of electrostimulation and other types of trunk training were only evaluated in one trial. No other trunk training approaches were available (Table 9).
Dose‐matched therapy in both groups
The effect of selective‐trunk training, unstable‐surface training and other types of trunk training were only evaluated in one trial. No other trunk training approaches were available (Table 9).
Effect of trunk training on quality of life: time post‐stroke analysis
Too few data were available for further analysis.
Effect of trunk training on death and serious adverse events, including falls
Sixt trials (201 participants) with non‐dose‐matched therapy in the experimental and control groups reported on serious adverse events comparing trunk training with the control group. In that analysis, one trial reported a fall incidence during the study (Thijs 2021). As described in Data synthesis, we used a fixed‐effects model for meta‐analysis of dichotomous data. Meta‐analysis resulted in an OR of 7.94 (95% CI 0.16 to 400.89; P = 0.30, very low‐quality evidence, Analysis 1.9, Table 1), suggesting that there is no evidence of an effect of trunk training on adverse events in the non‐dose‐matched analysis. The same results were observed for the dose‐matched analysis (OR 7.39, 95% CI 0.15 to 372.38, P = 0.32, 10 trials, 381 participants, very low‐quality evidence, Analysis 2.9, Table 2). In this analysis, one trial also reported a fall incidence (Dean 2007).
Effect of trunk training on death and serious adverse events, including falls: sensitivity analyses
Sensitivity analysis random‐effects model
Sensitivity analysis did not alter the effect in the non‐dose‐matched analysis (OR 3.44, 95% CI 0.13 to 91.79, P = 0.46, 6 trials, 201 participants, Table 11) or in the dose‐matched analysis (OR 3.55, 95% CI 0.12 to 105.82, P = 0.47, 10 trials, 381 participants, Table 11).
Sensitivity analysis risk of bias
Sensitivity analysis did not alter the effect in the non‐dose‐matched analysis (OR 7.94, 95% CI 0.16 to 400.89, P = 0.30, 5 trials, 151 participants, Table 11), nor in the dose‐matched analysis (OR 7.39, 95% CI 0.15 to 372.38, P = 0.32, 7 trials, 224 participants, Table 11).
Sensitivity analysis excluding calculated mean change scores
Sensitivity analysis did not alter the effect in the non‐dose‐matched analysis (OR 7.94, 95% CI 0.16 to 400.89, P = 0.30, 5 trials, 153 participants, Table 11) or in the dose‐matched analysis (OR 7.39, 95% CI 0.15 to 372.38, P = 0.32, 10 trials, 381 participants, Table 11).
Effect of the different trunk therapy approaches on death and serious adverse events, including falls
Non‐dose‐matched therapy in both groups
There was no evidence of an effect of selective‐trunk training on serious adverse events and falling (OR 7.94, 95% CI 0.16 to 400.89, 53 participants, 2 trials, Table 9).
Dose‐matched therapy in both groups
There was no evidence of an effect of sitting‐reaching training on serious adverse events and falling (OR 7.39, 95% CI 0.15 to 372.38, 85 participants, 3 trials, Table 9).
Effect of trunk training on trunk function: time post‐stroke analysis
Non‐dose‐matched therapy in both groups
Subgroup analysis of time post stroke was not applicable (Table 10).
Dose‐matched therapy in both groups
Subgroup analysis of time post stroke was not applicable (Table 10).
Effect of trunk training on death and serious adverse events, including falls: meta‐regression
Meta‐regression was not possible, due to the limited amount of information.
Discussion
This review aimed to determine the effectiveness of trunk training after stroke on activities of daily living, motor and functional status, and quality of life.
We conducted an extensive search up to 25 October 2021 and identified 68 trials including 2585 participants in total.
We found data for the different outcomes. Additionally, we assessed the effects of the intervention where amount of therapy offered as a control intervention equalled, or was reduced in comparison to the experimental intervention. Furthermore, this review evaluated the effect of time post stroke and different types of trunk training.
Summary of main results
The main results are presented in the Table 1, Table 2 and Table 11.
Fourteen trials with 512 participants used our primary outcome measure to explore the effect of trunk training on activities of daily living versus a control intervention. Pooling data demonstrated evidence of an effect when comparing with non‐dose‐matched control treatment (very low quality of evidence), but not for dose‐matched control treatment (very low quality of evidence). Regarding trunk training approaches, we found evidence of an effect for sitting‐reaching training in the non‐dose‐matched analysis and for unstable‐surface training in the dose‐matched analysis. There was either no evidence of an effect for the other approaches or the number of included trials were limited.
Most of the included studies evaluated the effect of trunk training on trunk function (50 trials, 1679 participants). For dose‐matched (very low‐quality evidence) and non‐dose‐matched comparisons (very low‐quality evidence), and for all trunk training approaches, a positive effect was seen in favour of trunk training. Non‐dose‐matched electrostimulation and sitting‐reaching training and dose‐matched trunk exercises in combination with motor imagery was only assessed in one trial.
The number of trials examining the impact of trunk training on arm‐hand function was notably lower; just three trials (93 participants) evaluated the effect of trunk training on this outcome. When pooling the two non‐dose‐matched trials and one dose‐matched trial, we noted no evidence of an effect in favour of trunk training (low‐quality evidence). For arm‐hand activity, only one trial could be included for both non‐dose‐matched as dose‐matched analysis (very low‐quality evidence). Trunk training approaches were only evaluated in a maximum of one trial.
The effect of trunk training on standing balance was extensively reported in 33 trials (1330 participants). There was evidence of an effect of trunk training on standing balance in both dose‐matched (very low‐quality evidence) and non‐dose‐matched comparisons (very low‐quality evidence). Trunk training approaches using core‐stability training and selective‐trunk training showed evidence of an effect in the non‐dose‐matched comparisons. Trunk training approaches involving core‐stability training, electrostimulation, selective‐trunk training, unstable‐surface training and other types of trunk training likewise showed evidence of an effect in the dose‐matched analysis. For the other therapy approaches, only data from one trial were available.
The effects of trunk training on leg function was evaluated in five trials (318 participants) and a positive effect was seen in favour of trunk training in both the non‐dose‐matched (very low‐quality evidence) and the dose‐matched analysis (very low‐quality evidence). We found evidence of an effect of core‐stability training on this outcome. Pooling data of two trials applying a selective‐trunk training approach resulted in no evidence of an effect. Evaluating the effect of other trunk training approaches was limited due to a low number of trials within each trunk training approach.
Walking ability was investigated in 30 trials (893 participants). There was evidence of an effect when pooling trials in the dose‐matched (low‐quality evidence) and non‐dose‐matched comparisons (very low‐quality evidence). We also noted a difference in favour of trunk training for the therapy approaches core‐stability training and selective training in the dose‐matched trials and for the therapy approaches core‐stability training, electrostimulation, selective‐trunk training, sitting‐reaching training and unstable‐surface training in the non‐dose‐matched trials. For the other therapy approaches, only data from one trial were available.
Four trials with 219 participants evaluated the effect of trunk training on quality of life. Pooling the data of two trials suggests that trunk training may result in better quality of life in both the non‐dose‐matched and the dose‐matched analysis (very low‐quality evidence). A conclusion about the effectiveness of trunk training approaches can not be provided due to the low number of trials.
Evaluation of serious adverse events and falling incidence did not resulted in a ratio in favour of the trunk training for both non‐dose‐matched and for dose‐matched analysis (very low‐quality evidence). It is important to highlight that only a few trials recorded and reported serious adverse events and falls related to the interventions provided. This element should be included in future trials.
We evaluated the quality of evidence for our results as being of very low to low quality. Main factors responsible for this reduced certainty in our comparisons were low sample sizes, considerable risk of bias and high heterogeneity across trials. Again, these factors should be addressed in future trials.
The sensitivity analysis for imputed calculated standard deviations of change scores did not alter the result and direction of effect on the main outcome measures, except for the outcomes with the Berg Balance scale, arm‐hand function and quality of life (all in the random‐effects analysis, non‐dose‐matched analysis). In addition, all evidence showing the benefit of trunk training still showed an effect in favour of trunk training when excluding studies with high risk of bias for all outcomes. Our sensitivity analysis, where we excluded all trials with a high risk of bias, confirmed our results and provided findings with a very low to moderate certainty.
The results suggest that trunk training, beside trunk function itself, has a positive effect on gross motor skills, such as standing balance, walking ability, quality of life and activities of daily living, but less on arm‐hand function. The positive effect of trunk training on trunk function can be explained by the rationale that what is trained probably will improve. Additionally, the trunk can be considered the core of the body. The core is centrally located in the body, and better selectivity, co‐ordination, and muscle activation can lead to better gross motor skills primarily necessary for skills such as walking, balance and most activities of daily living. Being able to perform the above functions better and more easily could have a positive effect on quality of life. Better trunk function could provide a better base for the arm but has less influence on the more complex distal functions of the hand, making the effects of improved trunk function less clear for distal arm‐hand function.
The results of the analyses of the different outcomes are perhaps more meaningful when comparing the mean between‐group differences with the clinical meaningful differences. The minimal clinically important difference for the Barthel Index is a difference of 10 on a 100‐point scale (Hsieh 2007). In this review, a MD of 11.58, 95% CI 6.80 to 16.35 was seen in the non‐dose‐matched analysis, which indicates a greater effect than the clinically important difference. The clinically meaningful difference for the Trunk Impairment Scale was 3.5 points out of 23 (Monticone 2019), whereas the change score in this review was MD 2.88, 95% CI 2.72 to 3.04 for the non‐dose‐matched analysis and MD 1.87, 95% CI 1.66 to 2.08 for the dose‐matched analysis. The clinically meaningful difference for the Berg Balance scale varied from 4 (Tamura 2021) to 12.5 points (Song 2018), out of 56. Pooling data in this review in the non‐dose‐matched analysis resulted in an improvement of MD 5.75, 95% CI 5.06 to 6.43 and MD 2.22, 95% CI 1.93 to 2.51 in the dose‐matched analysis. The clinically meaningful difference for gait speed ranges from 0.13 m/s (Bohannon 2013), to 0.19 m/s (Fulk 2011). The pooled analysis of this review showed a difference in gait speed of MD 0.32, 9% CI 0.01 to 0.62 in the dose‐matched analysis. Thus overall, trunk training demonstrates a positive effect, but the magnitude of the mean effect did not exceed the clinically meaningful differences except for the outcome measured by the Barthel Index for the non‐dose‐matched analysis and gait speed in the dose‐matched analysis. An interesting finding is that the effect size for some outcomes is high to very high.
Overall completeness and applicability of evidence
There is a lot of interest in this research field, reflected by the large number of trials that were included in the different analyses.
In general, we found different trials for each outcome measure but also for each trunk training therapy approach. This allowed us to provide an overview of the effects of trunk training, notwithstanding that, for some outcomes such as quality of life, leg function, arm‐hand function and arm‐hand activity, available evidence is thus far limited. Due to the limited number of studies and methodological differences between the experimental and control groups, it is not possible to decide which approach is the most effective. This is also the case for the analysis according to phase post stroke. What is striking, and important, is that almost none of the studies evaluated and reported adverse events. However, this is an important outcome, and it is needed for clinical applications and should be monitored in future studies.
Additionally, we identified that minimal standard therapy information was lacking for certain therapy approaches. The included comparisons vary from 16 included trials (unstable‐surface) to only two included trials (static inclined‐surface training). This implies that for static inclined‐surface training and other therapy approaches such as sitting‐boxing programme, video‐based trunk training and trunk exercises in combination with motor imagery, insufficient data are available to provide robust conclusions. In light of the available evidence for other trunk training approaches, future studies should focus on the evidence that is reported in this review to advance the field and focus on uniformity in therapy and measurement outcomes.
We found that the number of study registrations was very limited. As a result, there is no indication whether a post hoc adjustment has been made to the study design, methodology, number of participants or outcome measures. It is, therefore, necessary to treat the interpretation of these included trials with caution.
Some elements reduce the applicability of the findings of therapy suggesting that further research is important. In the inclusion criteria, we often noted that only persons with a limitation in trunk function were included after a first stroke. Also, people with other neurological conditions or multiple strokes were not included in the study population. This makes it difficult to draw conclusions for the general stroke patient population. The setting of the included trials was often a hospital or a specialised rehabilitation department. In only one trial was the study location a home setting. Therefore, the results of this review are less applicable to the home setting, as well as nursing homes or other residential settings for people in the chronic phase.
Most of the trials were conducted with individuals who had their stroke more than six months prior to study inclusion, or in the early subacute phase, i.e. between two weeks and three months after the stroke event. No trials included participants within the first two weeks after the stroke event. No information is available about the applicability of trunk training starting early after stroke, yet based on recovery studies (Jørgensen 2015), this is where most effect could be observed in terms of motor and functional outcome. The results of the sensitivity analysis showed that phase after stroke, mean time post stroke plus intervention time, can influence the effect of trunk training. Surprisingly, there appears to be a difference in the outcome between the phase after stroke and the results of the meta‐regression. This can possibly be explained by two factors. On the one hand, the post‐stroke variable time was included in the meta‐regression without the intervention period and phase post stroke was included as a categorical variable in the meta‐regression.
Therapy that was offered was described in the publications, but often without sufficient details that could allow replication or implementation in clinical practice. It is important to report the entire therapy programme either as an appendix or in an online repository or supplementary material. This should include the provided exercises, the changes of levels of exercises (progression), whether it is offered individually, what material is needed, and the intensity of the training applied (number of repetitions or duration in minutes for each exercise).
To investigate the effect of amount of therapy in the control group (dose‐matched and non‐dose‐matched), we performed a subgroup analysis. Nevertheless, we found large variability between the control interventions. The control intervention varied from an active control intervention, such as active strength training, to a passive control therapy, such as cognitive training or health education. This does not give a difference in therapy time, but in therapy intensity, which could have an effect on the results.
The meta‐analysis was performed using a fixed‐effect model because smaller studies are given less weight than studies with a larger sample size. The sensitivity analysis, using a random‐effects model, did not yield noteworthy different results.
Heterogeneity was only minimally explained by using a different model, by sensitivity analysis or by the possible confounders that were included in the meta‐regression. This indicates that there may be other variables that may explain the heterogeneity.
The final search date of this review was 25 October 2021. This date is recent; however, the field of interest is rapidly expanding, so it is likely that more studies will be finalised and eligible for inclusion now and in the near future. The advantage of a Cochrane Review is that it is kept up‐to‐date and updated on a regular basis.
Quality of the evidence
According to the GRADE criteria, the quality of the evidence was very low to moderate. The quality of the evidence was influenced by a high risk of bias, large heterogeneity and a suspected publication bias (Table 1; Table 2).
The risk of bias of many of the included studies was high or unclear due to limited provision of study details and methodology and lack of clarification from the trial authors. We found that randomisation was often mentioned in the included trials, but that insufficient details were included so that the randomisation could not be reproduced. In less than half of the included trials, sufficiently detailed information on the randomisation process was provided, and these trials were scored as having low risk of bias. For allocation concealment, for most of the trials, minor details were described and the risk of bias was scored as unclear. Less than half of the included trials were rated as having low risk of bias on this item. Blinding of assessor(s) was clearly described in a considerable number of included trials. Here, trials described that the assessor neither participated in the intervention nor in the treatment allocation. Blinding of participants and personnel scored as being mostly unclear or high risk of bias for all included trials, but this may be considered typical for this type of physical intervention, where blinding of participants is challenging. There was study registration available for only a few of the randomised controlled trials that we included. This means there is a chance of selective reporting. In most trials, numbers of dropouts were reported. Still, often the description of the cause of dropouts was not provided, making interpretation of results difficult.
The findings and direction of effect of the different meta‐analyses was quite uniform, nearly exclusively in favour of trunk training. Notwithstanding, heterogeneity of the overall effect sizes of the different analyses was high. Analysis of the difference in training intensity, correction for risk of bias or imputing calculated change scores are possible factors that explain heterogeneity. No significant confounders were found in the meta‐regression analysis except for differences in training intensity for the trunk function outcome. Time after stroke did not explain heterogeneity significantly, although some subgroup analyses showed relatively lower heterogeneity.
Heterogeneity can potentially further be explained by methodological diversity or by clinical diversity (Sandercock 2011, Schroll 2011). Factors of methodological diversity and variability of study design, or risk of bias, were partly included in the meta‐regression. Factors such as a difference in study length or difference in study quality were taken into account. However, it should be noted that the meta‐regression could be more accurate if the full data set of all trials had been available for this analysis instead of the mean and published values. Numerous studies have been found, but often with only small sample sizes and limited quality of study design. This may explain why there can be great diversity in results measured in the different trials, resulting in no overlap in confidence intervals of the different studies and some results situated far from the no effect point, leading to an important influence on heterogeneity. Another reason that could further explain the heterogeneity in the meta‐analysis is the clinical diversity or the variability in the participants, interventions and outcomes studied. This can be caused, for example, by differences in baseline characteristics. Factors such as age and time post stroke were included but other factors such as type of stroke, motivation and adherence at baseline and during study, mood at baseline or motivation of study personnel may be greater explanatory factors. Many differences were also visible in the interventions. Amount of study therapy in the intervention group, amount of study therapy in the control group and amount of conventional therapy were not retained in the meta‐regression but the content in the different groups varied largely. In the dose‐matched trials, for example, it was apparent that in the control group, an active control intervention such as conventional therapy or arm‐hand training or a passive therapy such as cognitive training had been chosen. This difference might partly explain the heterogeneity. There was also a difference in the content of the intervention in the experimental group, although all approaches were considered trunk training; however, there was a difference in training intensity, meaning, more active or less active trunk training. For example, in the subgroup of selective‐trunk training, participants in the trial of Lee 2017a only sat on a vibration plate without extra exercises and, in Karthikbabu 2018a, participants practised additional movements of the trunk on a large physio ball.
Publication bias or the failure to publish results of a study, is strongly suspected for the outcomes, activity of daily living, trunk function and standing balance. Publication bias can be caused by a number of factors (Dickersin 1993). This can be explained by not publishing the results, not starting the study, a lower inclusion rate than expected, a lack of interest from the study staff or editors, results that are negative, have no effect or do not match with previous studies, and authors who have a conflict of interest (Devito 2019). During the literature search for this review, there was a gap between the registered studies and the studies with a publication, where authors could be contacted, or authors who provided the unpublished results. Publication bias can have an impact on the inaccuracy of the pooled effect (Schmucker 2017). In this review, the grey literature has additionally been searched and the authors of trial registrations have been contacted. However, publication bias could be reduced in the future if authors report their results, regardless of publication or not, on the trials' registration forums. Journals should accept good, robust, high‐quality studies regardless of the results. There could also be a forum where the unpublished results can be deposited (Devito 2019).
In spite of previous observations, the number of included studies are considerable. However, due to the limited sample size and limited strength of the evidence, the quality of the evidence for the main analysis (activities of daily living) and other secondary outcome parameters is very low to low.
Potential biases in the review process
We attempted to decrease the potential bias in the review by conducting a comprehensive search strategy in different databases and a hand search of bibliographies of the included trials, websites and grey literature. The search strategy was broad and detailed. However, it is still possible that some studies were not identified.
Two review authors independently assessed the quality of the studies and extracted data, with a third review author resolving disagreements to minimise bias.
We had to rule out four studies due to missing information and non‐parametric outcomes. However, due to the large number of included studies and the small number of participants for which there was missing data (maximum 50 participants in total), it is unlikely that the outcome of these studies would alter the main results.
Another potential bias is that it was common that no change scores were provided in the published studies. We tried to lower the impact of those missing data by first contacting the authors for additional information, and sending a follow‐up email to those who did not respond. However, only the minority of the contacted authors provided additional information.
Publication bias is possible due to trials that have not been published because of small sample sizes and negative results. We were able to rule out publication bias for the outcome measure, walking ability, by means of the funnel plot and Egger's test. Nonetheless, we see that the latter test did score significantly for a number of outcome parameters (activities of daily living, trunk function and standing balance).
Agreements and disagreements with other studies or reviews
As indicated in the introduction, some systematic reviews have already been published on this topic. When comparing the results, we noticed a number of relevant elements. First, the number of studies found and included in this review is notably higher, with a higher number of included participants. Moreover, besides adding more recent trials, this review identified older trials that were not identified in earlier reviews. This difference in numbers can partly be explained by a more extensive and comprehensive search strategy and terminology, because multiple scales per outcome of interest were chosen and the selection of trials was not limited to a specific outcome parameter such as only including trials that examined the effect on trunk function.
The first systematic review that was reported included 11 trials (317 participants) and described two types of therapy approaches; sitting training protocol and trunk exercises (Cabanas‐Valdés 2013). No meta‐analysis was performed, so a direct comparison with the results is difficult.
In the second systematic review, people after stroke received additional trunk training (non‐dose‐matched) in the experimental group, whereas participants in the control group received only conventional therapy, without any additional study therapy (Sorinola 2014). The effect was investigated by pooling two (53 participants) to five (135 participants) trials. No evidence of an effect of trunk training was observed for trunk function, standing balance and activities of daily living. A significant effect was only found for walking ability, based on three studies (65 participants). In this Cochrane Review, we replicated this latter result, albeit with a more robust analysis in terms of a larger number of trials (n = 11). Furthermore, we found that trunk training did have a positive effect on activities of daily living, trunk function, standing balance and walking ability. Besides the inclusion of more studies, this difference could be attributable to the fact that studies in Sorinola 2014 only included patients in the first three months after their stroke. Still, in our subgroup analysis for time after stroke, we again observed an effect of trunk training for the outcome parameters, activities of daily living, trunk function and standing balance.
A subsequent review evaluated the effect of additional therapy (non‐dose‐matched) on trunk function (Bank 2016). The authors concluded that additional therapy had an effect on the Trunk Impairment Scale, however, the authors also combined additional therapy with the focus on different starting positions such as standing or walking.
The review by Van Criekinge and colleagues included 22 studies and concluded that trunk training, as seen in this Cochrane Review, had a positive effect on trunk function, standing balance and mobility, however, with a relatively greater effect size (Van Criekinge 2019a). Results of trunk training were examined for specific outcomes by means of a subgroup analysis, albeit with a limited number of included trials. If we look at the outcome measures, a difference is noticeable. On the one hand, significant effects were still present for all results when looking at trunk function, standing balance and walking ability. On the other hand, this Cochrane Review included and pooled data of 39 additional trials. Heterogeneity was smaller in Van Criekinge's review because of a subgroup analysis performed with different scales, and because they applied a random‐effects model analysis. Also, Van Criekinge 2019a chose not to include studies where additional electromechanical devices were used and where two types of trunk training were compared. We did observe this type of intervention and comparison in the literature and, therefore, chose to include these trials in this Cochrane Review.
In another recent review, the authors searched randomised controlled trials and included a total of 17 trials that used either trunk function or upper extremity function as the outcome measure (Alhwoaimel 2018). No studies were found that reported upper extremity function, which is different from the seven studies we found. Fourteen trials used the Trunk Impairment Scale as an outcome measure (449 participants), and a meta‐analysis indicated an effect in favour of trunk training. Three trials measured trunk function using the Trunk Control Test (109 participants) with no evidence found when pooling that data. The overall effect of pooling studies reporting trunk function yielded a SMD of 0.85, with 95% CI 0.58 to 1.12. Our number of included trials as well as the effect size was higher. No studies were included in their review that were not included in this Cochrane Review, suggesting a comprehensive search strategy for our work. However, a difference in the inclusion criteria may explain the discrepancy in the number of studies found. In the review of Alhwoaimel 2018, trials were only included in which Trunk Impairment Scale, Trunk Control Test or upper extremity function was the outcome measure. We included other outcome parameters such as activities of daily living, walking ability and balance, and this may have resulted in an additional number of included trials, and a more comprehensive overview of the evidence.
The purpose of the most recent systematic review was to analyse the effect of trunk training on different outcome parameters (Souza 2019). For this, the authors pooled data from the Trunk Impairment Scale from seven studies (291 participants) and found an effect (MD 3.30, 95% CI 2.54 to 4.06) in favour of trunk training. Three trials were pooled to evaluate the effect of trunk training on the Berg Balance Scale (176 participants), also yielding a significant effect (MD = 13.17, 95% CI 9.49 to 16.84) in favour of trunk training. The overall effect found in the Souza 2019 was very large. Again, as in comparison with previous reviews, the pool of evidence identified in this Cochrane Review is larger, providing more confidence in the results found.
Two systematic reviews were found during the literature search where the choice was made to examine the effect of a specific therapy approach on different outcome measures. The purpose of the first systematic review was to investigate the effect of trunk training on an unstable surface (Van Criekinge 2018). The authors included seven trials and a significant difference was found for trunk function and walking ability, in favour of trunk training. Standing balance data were not pooled due to high heterogeneity. These results were confirmed in this Cochrane Review, where more studies were included. Moreover, the effect of unstable‐trunk training is not only limited to trunk function and standing balance, but extends to activities of daily living, walking ability and the specific outcomes measured by the Trunk Impairment Scale and Berg Balance Scale.
The focus of a final systematic review was on core exercises (Cabrera‐Martos 2020). The authors of that review defined core training as "any exercise that addresses motor control and muscular capacity of the core musculature". They included 14 trials, but did not limit the search to training that was conducted mainly in supine or seated position. In the analyses of this Cochrane Review, there is evidence of an effect of core‐stability training on the Berg Balance Scale (MD 4.62, 95% CI 2.08 to 7.17, 3 trials, 119 participants) for the non‐dose‐matched comparison and on the Trunk Impairment Scale (MD 2.06, 95% CI 1.60 to 2.53, 7 trials, 256 participants) and Berg Balance Scale (MD 2.11, 95% CI 1.77 to 2.45, 5 trials, 308 participants) for the dose‐matched comparison. The Cabrera‐Martos and our review agree that core stability has a significant effect on the Trunk Impairment Scale but disagree on the effect of the Berg Balance Scale (MD 0.27, 95% CI ‐0.25 to 0.79, 6 trials, 247 participants). In this Cochrane Review, the search and analysis may have been carried out more extensively. Results were expanded to other measurement scales in our work. Moreover, we not only found a significant effect on the Trunk Impairment Scale and the Berg Balance Scale, but also on trunk function, standing balance, walking ability and leg function.
We can conclude that, compared to previous systematic reviews, we can draw largely similar conclusions or can conclude that a positive effect became apparent. This supports an overall effectiveness of trunk training after stroke. Due to a comprehensive and an extensive search, a high number of trials could be included and pooled. Furthermore, this review was not limited to a main analysis, but rather regarded trunk training from different perspectives with subsequent analyses. By this approach, clinically important questions can and hopefully have been answered.
Authors' conclusions
Implications for practice.
Considerable evidence is available evaluating the effect of trunk training on different outcomes. Overall, after excluding trials with a high risk of bias, trunk training is beneficial for activities of daily living (very low‐certainty evidence), trunk function (very low‐certainty evidence), standing balance (very low‐certainty evidence), and walking ability (moderate‐certainty evidence). Less evidence is available for the other outcomes, suggesting a positive effect of trunk training on quality of life (low‐certainty evidence), arm‐hand function (low‐certainty evidence) and leg function (very low‐certainty evidence). Also, there is no evidence of an effect of trunk training on arm‐hand activity (very low‐certainty evidence).
The results of this review support the regular inclusion of trunk training in clinical practice when training people with stroke in the subacute phase, i.e. between two weeks and six months, as well as in the chronic phase, which means after six months.
Three trunk training therapy approaches were most studied in the literature. These are core‐stability trunk training, selective‐trunk training and unstable‐trunk training. The number of included studies was limited, so caution with the clinical interpretation is necessary. In this analysis, there is evidence that core‐stability trunk training improves trunk function, standing balance, leg function and walking ability. We see no beneficial effect on activities of daily living. Selective‐trunk training may be beneficial for trunk function, standing balance and walking ability. Trunk training on an unstable surface might yield better outcomes for activities of daily living, trunk function, standing balance and walking ability. However, results are based on limited well‐designed research so more well‐designed, larger studies are needed to make strong recommendations for clinical practice.
Implications for research.
There is a need for further well‐designed and well‐reported phase III randomised controlled trials, with a parallel‐group design and a priori estimated sample size. Moreover, we see that no trials have been conducted in the acute phase. The design of the study must be set up and executed in such a way that the risk of bias is as small as possible and reproducibility is maximised for randomisation, allocation, selective reporting and blinding of assessors, participants and personnel. Authors should follow CONSORT guidelines for reporting results (Schulz 2010), and the TIDieR checklist to describe interventions (Hoffmann 2014), and enhance transparency. Adverse events and the effects of trunk training on activities of daily living are priority outcome measures, as is quality of life, including follow‐up measurement. All authors should present change score values with standard deviations, values of baseline characteristics and provide an open access database. Details of trial training programmes should be incorporated in the report or made accessible (online). To minimise selective reporting and maximise transparency, studies should be registered before the start of the study.
Current evidence focuses on trunk training in the early subacute, late subacute and chronic phase in people with stroke. However, the median sample size of the included trials was 15 participants in each group. In this phase post stroke, there is still a need for well‐designed phase III trials, adequately powered to give definitive results in those phases. Because no trials were identified in the acute phase, no guidelines on the effect in that time post stroke could be made. Also, for these phases post stroke, well‐designed and well‐powered phase III trials are necessary. This review did not include and analyse follow‐up data, accordingly, no results for long‐term effects could be presented. The occurrence of adverse events is under‐reported. In the trials where adverse events were reported, no long‐term consequences were noted. Of course, the safety of people with stroke during training is a priority.
Finally, we see a great diversity of control interventions in the included studies. In subsequent studies, it is important to offer a dose‐matched control intervention where the control intervention is an active intervention.
History
Protocol first published: Issue 8, 2020
Acknowledgements
We thank Joshua Cheyne for help in providing the search strategy, Hazel Fraser and the Cochrane Stroke Group for help, feedback, and information. We thank Alex Todhunter‐Brown, Frederike van Wijck, Aryelly Rodriguez, Rosa Maria Cabanas‐Valdés, Tamaya Van Criekinge and Maria Isabel Costa for their comprehensive and valuable comments and Anne Lethaby for editing this review.
Appendices
Appendix 1. CENTRAL search strategy
ID Search Hits #1 MeSH descriptor: [Cerebrovascular Disorders] this term only #2 MeSH descriptor: [Basal Ganglia Cerebrovascular Disease] explode all trees #3 MeSH descriptor: [Brain Ischemia] explode all trees #4 MeSH descriptor: [Brain Infarction] this term only #5 MeSH descriptor: [Brain Stem Infarctions] this term only #6 MeSH descriptor: [Cerebral Infarction] this term only #7 MeSH descriptor: [Infarction, Anterior Cerebral Artery] this term only #8 MeSH descriptor: [Infarction, Middle Cerebral Artery] this term only #9 MeSH descriptor: [Infarction, Posterior Cerebral Artery] this term only #10 MeSH descriptor: [Ischemic Attack, Transient] this term only #11 MeSH descriptor: [Carotid Artery Diseases] this term only #12 MeSH descriptor: [Carotid Artery Thrombosis] this term only #13 MeSH descriptor: [Carotid Stenosis] this term only #14 MeSH descriptor: [Cerebral Arterial Diseases] this term only #15 MeSH descriptor: [Intracranial Arteriosclerosis] this term only #16 MeSH descriptor: [Intracranial Arteriovenous Malformations] explode all trees #17 MeSH descriptor: [Intracranial Embolism and Thrombosis] explode all trees #18 MeSH descriptor: [Intracranial Hemorrhages] this term only #19 MeSH descriptor: [Cerebral Hemorrhage] this term only #20 MeSH descriptor: [Cerebral Intraventricular Hemorrhage] this term only #21 MeSH descriptor: [Intracranial Hemorrhage, Hypertensive] this term only #22 MeSH descriptor: [Subarachnoid Hemorrhage] this term only #23 MeSH descriptor: [Stroke] this term only #24 MeSH descriptor: [Hemorrhagic Stroke] this term only #25 MeSH descriptor: [Ischemic Stroke] explode all trees #26 MeSH descriptor: [Vasospasm, Intracranial] this term only #27 MeSH descriptor: [Stroke Rehabilitation] this term only #28 (stroke or poststroke or post‐stroke or cerebrovasc* or (cerebr* near/3 vasc*) or CVA* or apoplectic or apoplex* or (transient near/3 isch?emic near/3 attack) or tia* or SAH or AVM or ESUS or ICH or (cerebral small vessel near/3 disease*)):ti,ab,kw #29 ((cerebr* or cerebell* or arteriovenous or vertebrobasil* or interhemispheric or hemispher* or intracran* or intracerebral or infratentorial or supratentorial or MCA* or ((anterior or posterior) near/3 circulat*) or lenticulostriate or ((basilar or brachial or vertebr*) near/3 arter*)) near/3 (disease or damage* or disorder* or disturbance or dissection or syndrome or arrest or accident or lesion or vasculopathy or insult or attack or injury or insufficiency or malformation or obstruct* or anomal*)):ti,ab,kw #30 ((cerebr* or cerebell* or arteriovenous or vertebrobasil* or interhemispheric or hemispher* or intracran* or corpus callosum or intracerebral or intracortical or intraventricular or periventricular or posterior fossa or infratentorial or supratentorial or MCA* or ((anterior or posterior) near/3 circulation) or basal ganglia or ((basilar or brachial or vertebr*) near/3 arter*) or space‐occupying or brain ventricle* or lacunar or cortical or ocular) near/3 (isch?emi* or infarct* or thrombo* or emboli* or occlus* or hypoxi* or vasospasm or obstruct* or vasoconstrict*)):ti,ab,kw #31 ((cerebr* or cerebell* or vertebrobasil* or interhemispheric or hemispher* or intracran* or corpus callosum or intracerebral or intracortical or intraventricular or periventricular or posterior fossa or infratentorial or supratentorial or MCA* or ((anterior or posterior) near/3 circulation) or basal ganglia or ((basilar or brachial or vertebr*) near/3 arter*) or space‐occupying or brain ventricle* or subarachnoid* or arachnoid*) near/3 (h?emorrhag* or h?ematom* or bleed*)):ti,ab,kw #32 ((carotid or cerebr* or cerebell* or intracranial or ((basilar or brachial or vertebr*) near/3 arter*)) near/3 (aneurysm or malformation* or block* or dysplasia or disease* or bruit or injur* or narrow* or obstruct* or occlusion or constriction or presclerosis or scleros* or stenos* or atherosclero* or arteriosclero* or plaque* or thrombo* or embol* or arteriopathy)):ti,ab,kw #33 MeSH descriptor: [Hemiplegia] this term only #34 MeSH descriptor: [Paresis] this term only #35 MeSH descriptor: [Gait Disorders, Neurologic] explode all trees #36 (hemipleg* or hemipar* or paresis or paraparesis or paretic):ti,ab,kw #37 {or #1‐#36} #38 MeSH descriptor: [Torso] explode all trees #39 MeSH descriptor: [Abdominal Muscles] explode all trees #40 MeSH descriptor: [Back Muscles] explode all trees #41 MeSH descriptor: [Pectoralis Muscles] this term only #42 MeSH descriptor: [Respiratory Muscles] explode all trees #43 (trunk or truncal or thorax or thoracic or torso or diaphragm* or intercostal or pectoral* or ((rib or chest) near/3 (cavity or cage)) or pelvi* or abdom* or perine* or peritonial or (core near/3 stabil*)):ti,ab,kw #44 (back or erector spinae or spinal erector* or sacrospinal* or latissimus dorsi or levator scapulae or multifidus or paraspinal or trapezius):ti,ab,kw #45 {or #38‐#44} #46 MeSH descriptor: [Physical Therapy Modalities] explode all trees #47 MeSH descriptor: [Occupational Therapy] this term only #48 MeSH descriptor: [Physical Therapy Specialty] this term only #49 MeSH descriptor: [Physical and Rehabilitation Medicine] this term only #50 MeSH descriptor: [Rehabilitation] this term only #51 MeSH descriptor: [Neurological Rehabilitation] explode all trees #52 MeSH descriptor: [Telerehabilitation] this term only #53 MeSH descriptor: [Movement] this term only #54 MeSH descriptor: [Locomotion] this term only #55 MeSH descriptor: [Running] explode all trees #56 MeSH descriptor: [Swimming] this term only #57 MeSH descriptor: [Walking] this term only #58 MeSH descriptor: [Dependent Ambulation] this term only #59 MeSH descriptor: [Gait] explode all trees #60 MeSH descriptor: [Motor Activity] this term only #61 MeSH descriptor: [Exercise] explode all trees #62 MeSH descriptor: [Sports] explode all trees #63 (exercis* or train* or condition* or strengthen* or rehab* or stabili*):ti,ab,kw #64 {or #46‐#63 #65 #37 AND #45 AND #64
Appendix 2. MEDLINE Ovid search strategy
1. cerebrovascular disorders/ or exp basal ganglia cerebrovascular disease/ or brain ischemia/ or ischemic attack, transient/ or vertebrobasilar insufficiency/ or carotid artery diseases/ or carotid artery injuries/ or carotid artery thrombosis/ or carotid stenosis/ or carotid artery, internal, dissection/ or vertebral artery dissection/ or intracranial arterial diseases/ or cerebral arterial diseases/ or intracranial aneurysm/ or intracranial arteriosclerosis/ or intracranial arteriovenous malformations/ or "exp intracranial embolism and thrombosis"/ or intracranial hemorrhages/ or cerebral hemorrhage/ or exp basal ganglia hemorrhage/ or cerebral intraventricular hemorrhage/ or intracranial hemorrhage, hypertensive/ or subarachnoid hemorrhage/ or stroke/ or brain infarction/ or brain stem infarctions/ or cerebral infarction/ or infarction, anterior cerebral artery/ or infarction, middle cerebral artery/ or infarction, posterior cerebral artery/ or hemorrhagic stroke/ or exp ischemic stroke/ or vasospasm, intracranial/ 2. stroke rehabilitation/ 3. (stroke or poststroke or post‐stroke or cerebrovasc$ or (cerebr$ adj3 vasc$) or CVA$ or apoplectic or apoplex$ or (transient adj3 isch?emic adj3 attack) or tia$ or SAH or AVM or (cerebral small vessel adj3 disease)).tw. 4. ((cerebr$ or cerebell$ or arteriovenous or vertebrobasil$ or interhemispheric or hemispher$ or intracran$ or intracerebral or infratentorial or supratentorial or MCA$ or ((anterior or posterior) adj3 circulat$) or lenticulostriate or ((basilar or brachial or vertebr$) adj3 arter$)) adj3 (disease or damage$ or disorder$ or disturbance or dissection or lesion or syndrome or arrest or accident or lesion or vasculopathy or insult or attack or injury or insufficiency or malformation or obstruct$ or anomal$)).tw. 5. ((cerebr$ or cerebell$ or vertebrobasil$ or interhemispheric or hemispher$ or intracran$ or corpus callosum or intracerebral or intracortical or intraventricular or periventricular or posterior fossa or infratentorial or supratentorial or MCA$ or ((anterior or posterior) adj3 circulation) or basal ganglia or ((basilar or brachial or vertebr$) adj3 arter$) or space‐occupying or brain ventricle$ or subarachnoid$ or arachnoid$) adj3 (h?emorrhage or h?ematoma or bleed$ or microh?emorrhage or microbleed or (encephalorrhagia or hematencephal$))).tw. 6. ((cerebr$ or cerebell$ or arteriovenous or vertebrobasil$ or interhemispheric or hemispher$ or intracran$ or corpus callosum or intracerebral or intracortical or intraventricular or periventricular or posterior fossa or infratentorial or supratentorial or MCA$ or ((anterior or posterior) adj3 circulation) or basal ganglia or ((basilar or brachial or vertebr$) adj3 arter$) or space‐occupying or brain ventricle$ or lacunar or cortical or ocular) adj3 (isch?emi$ or infarct$ or thrombo$ or emboli$ or occlus$ or hypoxi$ or vasospasm or obstruct$ or vasculopathy or vasoconstrict$)).tw. 7. ((carotid or cerebr$ or cerebell$ or intracranial or basilar or brachial or vertebr$) adj3 (aneurysm or malformation$ or dysplasia or disease or bruit or injur$ or obstruct$ or occlusion or constriction or presclerosis or scleros$ or stenos$ or atherosclero$ or arteriosclero$ or plaque$ or thrombo$ or embol$ or arteriopathy)).tw. 8. hemiplegia/ or paresis/ or exp gait disorders, neurologic/ 9. (hemipleg$ or hemipar$ or paresis or paraparesis or paretic).tw. 10. or/1‐9 11. exp torso/ 12. exp abdominal muscles/ or exp back muscles/ or pectoralis muscles/ or exp respiratory muscles/ 13. (trunk or truncal or thorax or thoracic or torso or diaphragm$ or intercostal or pectoral$ or ((rib or chest) adj3 (cavity or cage)) or pelvi$ or abdom$ or perine$ or peritonial or (core adj3 stabil$)).tw. 14. (back or erector spinae or spinal erector$ or sacrospinal$ or latissimus dorsi or levator scapulae or multifidus or paraspinal or trapezius).tw. 15. or/11‐14 16. exp physical therapy modalities/ 17. occupational therapy/ or physical therapy specialty/ 18. "physical and rehabilitation medicine"/ or rehabilitation/ or exp neurological rehabilitation/ or telerehabilitation/ 19. movement/ or locomotion/ or exp running/ or swimming/ or walking/ or dependent ambulation/ or exp gait/ or motor activity/ or exp exercise/ 20. exp sports/ 21. (exercis$ or train$ or condition$ or strengthen$ or rehab$ or stabili$).tw. 22. or/16‐21 23. randomized controlled trial.pt. 24. controlled clinical trial.pt. 25. randomized.ab. 26. placebo.ab. 27. randomly.ab. 28. trial.ab. 29. groups.ab. 30. or/23‐29 31. 10 and 15 and 22 and 30
Appendix 3. Embase Ovid search Strategy
1. cerebrovascular disease/ or exp cerebrovascular accident/ or exp cerebrovascular malformation/ or exp basal ganglion haemorrhage/ or exp brain hemorrhage/ or exp brain infarction/ or exp brain ischemia/ or cerebral artery disease/ or exp carotid artery disease/ or brain atherosclerosis/ or exp stroke patient/ or stroke rehabilitation/ or exp intracranial aneurysm/ or occlusive cerebrovascular disease/ or basilar artery obstruction/ or exp cerebral sinus thrombosis/ or middle cerebral artery occlusion/ or vertebral artery stenosis/ or ocular ischemic syndrome/ or vertebrobasilar insufficiency/ or exp carotid artery/ or carotid artery surgery/ or carotid endarterectomy/ 2. exp stroke patient/ 3. (stroke or poststroke or post‐stroke or cerebrovasc$ or (cerebr$ adj3 vasc$) or CVA$ or apoplectic or apoplex$ or (transient adj3 isch?emic adj3 attack) or tia$ or SAH or AVM or (cerebral small vessel adj3 disease)).tw. 4. ((cerebr$ or cerebell$ or arteriovenous or vertebrobasil$ or interhemispheric or hemispher$ or intracran$ or intracerebral or infratentorial or supratentorial or MCA$ or ((anterior or posterior) adj3 circulat$) or lenticulostriate or ((basilar or brachial or vertebr$) adj3 arter$)) adj3 (disease or damage$ or disorder$ or disturbance or dissection or lesion or syndrome or arrest or accident or lesion or vasculopathy or insult or attack or injury or insufficiency or malformation or obstruct$ or anomal$)).tw. 5. ((cerebr$ or cerebell$ or vertebrobasil$ or interhemispheric or hemispher$ or intracran$ or corpus callosum or intracerebral or intracortical or intraventricular or periventricular or posterior fossa or infratentorial or supratentorial or MCA$ or ((anterior or posterior) adj3 circulation) or basal ganglia or ((basilar or brachial or vertebr$) adj3 arter$) or space‐occupying or brain ventricle$ or subarachnoid$ or arachnoid$) adj3 (h?emorrhage or h?ematoma or bleed$ or microh?emorrhage or microbleed or (encephalorrhagia or hematencephal$))).tw. 6. ((cerebr$ or cerebell$ or arteriovenous or vertebrobasil$ or interhemispheric or hemispher$ or intracran$ or corpus callosum or intracerebral or intracortical or intraventricular or periventricular or posterior fossa or infratentorial or supratentorial or MCA$ or ((anterior or posterior) adj3 circulation) or basal ganglia or ((basilar or brachial or vertebr$) adj3 arter$) or space‐occupying or brain ventricle$ or lacunar or cortical or ocular) adj3 (isch?emi$ or infarct$ or thrombo$ or emboli$ or occlus$ or hypoxi$ or vasospasm or obstruct$ or vasculopathy or vasoconstrict$)).tw. 7. ((carotid or cerebr$ or cerebell$ or intracranial or basilar or brachial or vertebr$) adj3 (aneurysm or malformation$ or dysplasia or disease or bruit or injur$ or obstruct$ or occlusion or constriction or presclerosis or scleros$ or stenos$ or atherosclero$ or arteriosclero$ or plaque$ or thrombo$ or embol$ or arteriopathy)).tw. 8. exp hemiplegia/ or exp paresis/ or neurologic gait disorder/ 9. (hemipleg$ or hemipar$ or paresis or paraparesis or paretic).tw. 10. or/1‐9 11. exp abdomen/ or exp thorax/ or trunk/ or exp pelvis/ 12. exp abdominal wall musculature/ or exp back muscle/ or exp pelvis muscle/ or exp thorax muscle/ 13. (trunk or truncal or thorax or thoracic or torso or diaphragm$ or intercostal or pectoral$ or ((rib or chest) adj3 (cavity or cage)) or pelvi$ or abdom$ or perine$ or peritonial or (core adj3 stabil$)).tw. 14. (back or erector spinae or spinal erector$ or sacrospinal$ or latissimus dorsi or levator scapulae or multifidus or paraspinal or trapezius).tw. 15. 11 or 12 or 13 or 14 16. exp exercise/ 17. exp sports/ 18. physical strength/ or physical endurance/ or physical fitness/ 19. (exercis$ or train$ or condition$ or strengthen$ or rehab$ or stabili$).tw. 20. 16 or 17 or 18 or 19 21. Randomized Controlled Trial/ or "randomized controlled trial (topic)"/ 22. Randomization/ 23. Controlled clinical trial/ or "controlled clinical trial (topic)"/ 24. control group/ or controlled study/ 25. clinical trial/ or "clinical trial (topic)"/ or phase 1 clinical trial/ or phase 2 clinical trial/ or phase 3 clinical trial/ or phase 4 clinical trial/ 26. crossover procedure/ 27. single blind procedure/ or double blind procedure/ or triple blind procedure/ 28. placebo/ or placebo effect/ 29. (random$ or RCT or RCTs).tw. 30. (controlled adj5 (trial$ or stud$)).tw. 31. (clinical$ adj5 trial$).tw. 32. clinical trial registration.ab. 33. ((control or treatment or experiment$ or intervention) adj5 (group$ or subject$ or patient$)).tw. 34. (quasi‐random$ or quasi random$ or pseudo‐random$ or pseudo random$).tw. 35. ((control or experiment$ or conservative) adj5 (treatment or therapy or procedure or manage$)).tw. 36. ((singl$ or doubl$ or tripl$ or trebl$) adj5 (blind$ or mask$)).tw. 37. (cross‐over or cross over or crossover).tw. 38. (placebo$ or sham).tw. 39. trial.ti. 40. (assign$ or allocat$).tw. 41. controls.tw. 42. or/21‐41 43. 10 and 15 and 20 and 42
Appendix 4. CINAHL search strategy
S38 S10 AND S15 AND S23 AND S37 S37 S24 OR S25 OR S26 OR S27 OR S28 OR S29 OR S30 OR S33 OR S34 OR S35 OR S36 S36 TI (Clinical AND Trial) or AB (Clinical AND Trial) or SU (Clinical AND Trial) S35 MH Clinical Trials S34 TI Placebo* or AB Placebo* or SU Placebo* S33 S31 AND S32 S32 TI blind* or AB mask* or AB blind* or TI mask* S31 AB (singl* or doubl* or trebl* or tripl*) or TI (singl* or doubl* or trebl* or tripl*) S30 TI ( stroke or poststroke or post‐stroke or cerebrovasc* or brain vasc* or cerebral vasc or cva or apoplex or SAH ) or AB ( stroke or poststroke or post‐stroke or cerebrovasc* or brain vasc* or cerebral vasc or cva or apoplex or SAH) S29 MH Placebos S28 TI (crossover or cross‐over) or AB (crossover or cross‐over) or SU (crossover or cross‐over) S27 AB "latin square" or TI "latin square" S26 TI random* or AB random* S25 TI ("multicentre study" or "multicenter study" or "multi‐centre study" or "multi‐center study") or AB ("multicentre study" or "multicenter study" or "multi‐centre study" or "multi‐center study") or SU ("multicentre study" or "multicenter study" or "multi‐centre study" or "multi‐center study") S24 MH Random Assignment or MH Single‐blind Studies or MH Double‐blind Studies or MH Triple‐blind Studies or MH Crossover design or MH Factorial Design S23 S16 OR S17 OR S18 OR S19 OR S20 OR S21 OR S22 S22 TI ( exercis* or train* or condition* or strengthen* or rehab* or stabili* ) OR AB ( exercis* or train* or condition* or strengthen* or rehab* or stabili* ) S21 (MH "Movement+") S20 (MH "Rehabilitation") OR (MH "Physical Therapy+") OR (MH "Occupational Therapy") OR (MH "Telerehabilitation") S19 (MH "Physical Endurance+") OR (MH "Exertion+") OR (MH "Muscle Strengthening+") S18 (MH "Sports+") S17 (MH "Therapeutic Exercise+") S16 (MH "Exercise+") S15 S11 OR S12 OR S13 OR S14 S14 TI ( back or erector spinae or spinal erector* or sacrospinal* or latissimus dorsi or levator scapulae or multifidus or paraspinal or trapezius ) OR AB ( back or erector spinae or spinal erector* or sacrospinal* or latissimus dorsi or levator scapulae or multifidus or paraspinal or trapezius ) S13 TI ( trunk or truncal or thorax or thoracic or torso or diaphragm* or intercostal or pectoral* or ((rib or chest) N3 (cavity or cage)) or pelvi* or abdom* or perine* or peritonial or (core N3 stabil*) ) OR AB ( trunk or truncal or thorax or thoracic or torso or diaphragm* or intercostal or pectoral* or ((rib or chest) N3 (cavity or cage)) or pelvi* or abdom* or perine* or peritonial or (core N3 stabil*) ) S12 (MH "Pelvic Floor Muscles") OR (MH "Respiratory Muscles+") OR (MH "Pectoralis Muscles") OR (MH "Erector Spinae Muscles") OR (MH "Abdominal Muscles+") S11 (MH "Torso") OR (MH "Thorax") S10 S1 OR S2 OR S3 OR S4 OR S5 OR S6 OR S7 OR S8 OR S9 S9 TI ( (hemipleg* or hemipar* or paresis or paraparesis or paretic) ) OR AB ( (hemipleg* or hemipar* or paresis or paraparesis or paretic) ) S8 (MH "Hemiplegia") S7 TI ( ((carotid or cerebr* or cerebell* or intracranial or basilar or brachial or vertebr*) N3 (aneurysm or malformation* or dysplasia or disease or bruit or injur* or obstruct* or occlusion or constriction or presclerosis or scleros* or stenos* or atherosclero* or arteriosclero* or plaque* or thrombo* or embol* or arteriopathy)) ) OR AB ( ((carotid or cerebr* or cerebell* or intracranial or basilar or brachial or vertebr*) N3 (aneurysm or malformation* or dysplasia or disease or bruit or injur* or obstruct* or occlusion or constriction or presclerosis or scleros* or stenos* or atherosclero* or arteriosclero* or plaque* or thrombo* or embol* or arteriopathy)) ) S6 TI ( ((cerebr* or cerebell* or arteriovenous or vertebrobasil* or interhemispheric or hemispher* or intracran* or corpus callosum or intracerebral or intracortical or intraventricular or periventricular or posterior fossa or infratentorial or supratentorial or MCA* or ((anterior or posterior) N3 circulation) or basal ganglia or ((basilar or brachial or vertebr*) N3 arter*) or space‐occupying or brain ventricle* or lacunar or cortical or ocular) N3 (isch?emi* or infarct* or thrombo* or emboli* or occlus* or hypoxi* or vasospasm or obstruct* or vasculopathy or vasoconstrict*)) ) OR AB ( ((cerebr* or cerebell* or arteriovenous or vertebrobasil* or interhemispheric or hemispher* or intracran* or corpus callosum or intracerebral or intracortical or intraventricular or periventricular or posterior fossa or infratentorial or supratentorial or MCA* or ((anterior or posterior) N3 circulation) or basal ganglia or ((basilar or brachial or vertebr*) N3 arter*) or space‐occupying or brain ventricle* or lacunar or cortical or ocular) N3 (isch?emi* or infarct* or thrombo* or emboli* or occlus* or hypoxi* or vasospasm or obstruct* or vasculopathy or vasoconstrict*)) ) S5 TI ( ((cerebr* or cerebell* or vertebrobasil* or interhemispheric or hemispher* or intracran* or corpus callosum or intracerebral or intracortical or intraventricular or periventricular or posterior fossa or infratentorial or supratentorial or MCA* or ((anterior or posterior) N3 circulation) or basal ganglia or ((basilar or brachial or vertebr*) N3 arter*) or space‐occupying or brain ventricle* or subarachnoid* or arachnoid*) N3 (h?emorrhage or h?ematoma or bleed* or microh?emorrhage or microbleed or (encephalorrhagia or hematencephal*))) ) OR AB ( ((cerebr* or cerebell* or vertebrobasil* or interhemispheric or hemispher* or intracran* or corpus callosum or intracerebral or intracortical or intraventricular or periventricular or posterior fossa or infratentorial or supratentorial or MCA* or ((anterior or posterior) N3 circulation) or basal ganglia or ((basilar or brachial or vertebr*) N3 arter*) or space‐occupying or brain ventricle* or subarachnoid* or arachnoid*) N3 (h?emorrhage or h?ematoma or bleed* or microh?emorrhage or microbleed or (encephalorrhagia or hematencephal*))) ) S4 TI ( ((cerebr* or cerebell* or arteriovenous or vertebrobasil* or interhemispheric or hemispher* or intracran* or intracerebral or infratentorial or supratentorial or MCA* or ((anterior or posterior) N3 circulat*) or lenticulostriate or ((basilar or brachial or vertebr*) N3 arter*)) N3 (disease or damage* or disorder* or disturbance or dissection or lesion or syndrome or arrest or accident or lesion or vasculopathy or insult or attack or injury or insufficiency or malformation or obstruct* or anomal*)) ) OR AB ( ((cerebr* or cerebell* or arteriovenous or vertebrobasil* or interhemispheric or hemispher* or intracran* or intracerebral or infratentorial or supratentorial or MCA* or ((anterior or posterior) N3 circulat*) or lenticulostriate or ((basilar or brachial or vertebr*) N3 arter*)) N3 (disease or damage* or disorder* or disturbance or dissection or lesion or syndrome or arrest or accident or lesion or vasculopathy or insult or attack or injury or insufficiency or malformation or obstruct* or anomal*)) ) S3 TI ( (stroke or poststroke or post‐stroke or cerebrovasc* or (cerebr* N3 vasc*) or CVA* or apoplectic or apoplex* or (transient N3 isch?emic N3 attack) or tia* or SAH or AVM or (cerebral small vessel N3 disease)) ) OR AB ( (stroke or poststroke or post‐stroke or cerebrovasc* or (cerebr* N3 vasc*) or CVA* or apoplectic or apoplex* or (transient N3 isch?emic N3 attack) or tia* or SAH or AVM or (cerebral small vessel N3 disease)) ) S2 (MH "Stroke Patients") S1 (MH "Cerebrovascular Disorders") OR (MH "Basal Ganglia Cerebrovascular Disease+") OR (MH "Carotid Artery Diseases") OR (MH "Carotid Artery Dissections") OR (MH "Carotid Artery Thrombosis") OR (MH "Carotid Stenosis") OR (MH "Cerebral Ischemia") OR (MH "Cerebral Ischemia, Transient") OR (MH "Hypoxia‐Ischemia, Brain") OR (MH "Cerebral Small Vessel Diseases") OR (MH "Cerebral Vasospasm") OR (MH "Cerebral Arterial Diseases") OR (MH "Cerebral Aneurysm") OR (MH "Intracranial Arteriosclerosis") OR (MH "Moyamoya Disease") OR (MH "Intracranial Embolism and Thrombosis+") OR (MH "Intracranial Hemorrhage") OR (MH "Subarachnoid Hemorrhage") OR (MH "Stroke+") OR (MH "Vertebral Artery Dissections")
Appendix 5. PEDro search strategy
#1 Title and Abstract: trunk Subdiscipline: neurology Method: clinical trial
Appendix 6. SCOPUS search strategy
( TITLE‐ABS‐KEY ( stroke OR poststroke OR apoplex* OR cva* OR sah OR brain* OR cerebr* OR cerebell* OR vertebrobasil* OR hemispher* OR intracran* OR intracerebral OR infratentorial OR supratentorial ) ) AND ( ( TITLE‐ABS‐KEY ( trunk OR truncal OR thorax OR thoracic OR torso OR diaphragm* OR intercostal OR pectoral* OR pelvi* OR abdom* OR perine* OR peritonial OR core ) ) OR ( TITLE‐ABS‐KEY ( back OR "erector spinae" OR "spinal erector*" OR sacrospinal* OR "latissimus dorsi" OR "levator scapulae" OR multifidus OR paraspinal OR trapezius ) ) ) AND ( TITLE‐ABS‐KEY ( exercis* OR train* OR condition* OR strengthen* OR rehab* OR stabili* ) ) AND ( TITLE‐ABS‐KEY ( randomly OR randomized OR trial OR rct ) )
Appendix 7. ProQuest Dissertations and Theses search strategy
AB,TI(stroke OR poststroke OR apoplex* OR cva* OR sah OR brain* OR cerebr* OR cerebell* OR vertebrobasil* OR hemispher* OR intracran* OR intracerebral OR infratentorial OR supratentorial) AND AB,TI(trunk OR truncal OR thorax OR thoracic OR torso OR diaphragm* OR intercostal OR pectoral* OR pelvi* OR abdom* OR perine* OR peritonial OR core OR back OR "erector spinae" OR "spinal erector*" OR sacrospinal* OR "latissimus dorsi" OR "levator scapulae" OR multifidus OR paraspinal OR trapezius) AND AB,TI(exercis* OR train* OR condition* OR strengthen* OR rehab* OR stabili*) AND AB,TI(random* OR trial)
Appendix 8. SPORTDiscus search strategy
S1DE "CEREBROVASCULAR disease" OR DE "BRAIN ‐‐ Hemorrhage" OR DE "CEREBRAL embolism & thrombosis" OR DE "STROKE" OR DE "BRAIN ‐‐ Wounds & injuries" OR DE "BRAIN damage" OR DE "CEREBROVASCULAR disease ‐‐ Patients" S2TI ( stroke or poststroke or post‐stroke or cerebrovasc* or brain vasc* or cerebral vasc or cva or apoplex or SAH ) or AB ( stroke or poststroke or post‐stroke or cerebrovasc* or brain vasc* or cerebral vasc or cva or apoplex or SAH ) S3( TI ( brain* or cerebr* or cerebell* or intracran* or intracerebral ) or AB ( brain* or cerebr* or cerebell* or intracran* or intracerebral ) ) and ( TI ( ischemi* or ischaemi* or infarct* or thrombo* or emboli* or occlus* ) or AB ( ischemi* or ischaemi* or infarct* or thrombo* or emboli* or occlus* ) ) S4( TI ( brain* or cerebr* or cerebell* or intracerebral or intracranial or subarachnoid ) or AB ( brain* or cerebr* or cerebell* or intracerebral or intracranial or subarachnoid ) ) and ( TI ( haemorrhage* or hemorrhage* or haematoma* or hematoma* or bleed* ) or AB ( haemorrhage* or hemorrhage* or haematoma* or hematoma* or bleed* ) ) S5DE "HEMIPLEGIA" OR DE "HEMIPLEGICS" OR DE "GAIT disorders" S6TI ( hemipleg* or hemipar* or paresis or paretic ) or AB ( hemipleg* or hemipar* or paresis or paretic ) S7S1 OR S2 OR S3 OR S4 OR S5 OR S6 S8DE "ABDOMINAL muscles" OR DE "ABDOMINAL wall" OR DE "CHEST Anatomy" OR DE "BACK muscles" OR DE "BACK physiology" OR DE "TORSO" OR DE "ABDOMEN" S9TI ( back or erector spinae or spinal erector* or sacrospinal* or latissimus dorsi or levator scapulae or multifidus or paraspinal or trapezius ) OR AB ( back or erector spinae or spinal erector* or sacrospinal$ or latissimus dorsi or levator scapulae or multifidus or paraspinal or trapezius ) S10TI ( trunk or truncal or thorax or thoracic or torso or diaphragm* or intercostal or pectoral* or ((rib or chest) N3 (cavity or cage)) or pelvi* or abdom* or perine* or peritonial or (core N3 stabil*) ) OR AB ( trunk or truncal or thorax or thoracic or torso or diaphragm* or intercostal or pectoral* or ((rib or chest) N3 (cavity or cage)) or pelvi* or abdom* or perine* or peritonial or (core N3 stabil*) ) S11S8 OR S9 OR S10 S12DE "PHYSICAL therapy" OR DE "BALNEOLOGY" OR DE "COLD therapy" OR DE "ELECTROTHERAPEUTICS" OR DE "HYDROTHERAPY" OR DE "LIANGONG" OR DE "MANIPULATION therapy" OR DE "OCCUPATIONAL therapy" OR DE "PHOTOTHERAPY" OR DE "RECREATIONAL therapy" OR DE "SPORTS physical therapy" OR DE "THERMOTHERAPY" OR DE "RECOVERY training" OR DE "SPORTS medicine" OR DE "OCCUPATIONAL therapy" OR DE "RECREATIONAL therapy" OR DE "THERAPEUTICS" OR DE "REHABILITATION" OR DE "AQUATIC exercises ‐‐ Therapeutic use" OR DE "MEDICAL rehabilitation" OR DE "NEUROPSYCHOLOGICAL rehabilitation" OR DE "ACTIVITIES of daily living training" OR DE "EXERCISE" OR DE "ABDOMINAL exercises" OR DE "AEROBIC exercises" OR DE "ANAEROBIC exercises" OR DE "AQUATIC exercises" OR DE "ARM exercises" OR DE "BACK exercises" OR DE "BREATHING exercises" OR DE "BREEMA" OR DE "BUTTOCKS exercises" OR DE "CALISTHENICS" OR DE "CHAIR exercises" OR DE "CHEST exercises" OR DE "CIRCUIT training" OR DE "COMPOUND exercises" OR DE "COOLDOWN" OR DE "DO‐in" OR DE "EXERCISE adherence" OR DE "EXERCISE for girls" OR DE "EXERCISE for men" OR DE "EXERCISE for middle‐aged persons" OR DE "EXERCISE for older people" OR DE "EXERCISE for people with disabilities" OR DE "EXERCISE for women" OR DE "EXERCISE for youth" OR DE "EXERCISE therapy" OR DE "EXERCISE video games" OR DE "FACIAL exercises" OR DE "FALUN gong exercises" OR DE "FOOT exercises" OR DE "GYMNASTICS" OR DE "HAND exercises" OR DE "HATHA yoga" OR DE "HIP exercises" OR DE "ISOKINETIC exercise" OR DE "ISOLATION exercises" OR DE "ISOMETRIC exercise" OR DE "ISOTONIC exercise" OR DE "KNEE exercises" OR DE "LEG exercises" OR DE "LIANGONG" OR DE "METABOLIC equivalent" OR DE "MULAN quan" OR DE "MUSCLE strength" OR DE "PILATES method" OR DE "PLYOMETRICS" OR DE "QI gong" OR DE "REDUCING exercises" OR DE "RUNNING" OR DE "RUNNING ‐‐ Social aspects" OR DE "SHOULDER exercises" OR DE "STRENGTH training" OR DE "STRESS management exercises" OR DE "TAI chi" OR DE "TREADMILL exercise" OR DE "WHEELCHAIR workouts" OR DE "YOGA" OR DE "EXERCISE videos" OR DE "PHYSICAL activity" OR DE "PHYSICAL fitness" OR DE "SPORTS" S13TI ( exercis* or train* or condition* or strengthen* or rehab* or stabili* ) OR AB ( exercis* or train* or condition* or strengthen* or rehab* or stabili* ) S14S12 OR S13 S15TI ( randomised OR randomized ) OR AB random* OR DE "RANDOMIZED controlled trials" S16TI trial S17AB control N5 group S18S15 OR S16 OR S17 S19S7 AND S11 AND S14 AND S18
Appendix 9. US National Institutes of Health Ongoing Trials Register ClinicalTrials.gov
( trunk OR truncal OR thorax OR thoracic OR torso ) AND AREA[StudyType] EXPAND[Term] COVER[FullMatch] "Interventional" AND AREA[ConditionSearch] ( Brain Infarction OR Intracranial Hemorrhages OR Carotid Artery Diseases OR Brain Ischemia OR Cerebral Hemorrhage OR Cerebrovascular Disorders OR Stroke )
Appendix 10. World Health Organization International Clinical Trials Registry Platform
stroke AND trunk OR cerebral AND trunk OR cerebrovascular AND trunk OR brain AND trunk
Appendix 11. List of abbreviations
ABC: Activities‐specific Balance Confidence Scale ADIM: Abdominal drawing‐in manoeuvre ADL: Activities of daily living AR: augmented reality ARAT: Action Research Arm test BBS: Berg Balance scale BI: Barthel Index BMI: Body Mass Index BPM: Balance Performance Monitor CG: control groep CHD: coronary heart disease CI: confidence interval cm: centimetre cm/s: centimetre per second CoP: center of pressure CP: conventional therapy CSE: core‐stability exercises CT: computed tomography CVA:cerebrovascular accident CVD: cerebrovascular disease cm: centimeter CMS: Core muscle strengthening d: effect size index DG: device group EMG: Electromyograph EO: external oblique muscles ES: erector spinae muscles FAC: Functional Ambulation Category FES: Functional electrical stimulation FICSIT‐4: Frailty and Injuries Cooperative Studies of Intervention Technique FIST: Function in sitting test FMA‐LE: Fugl‐Meyer Assessment‐Lower Extremity FR: forward reach FRT: functional reach in standing GRADE : Grading of Recommendations Assessment, Development and Evaluation H: haemorrhagic Hz: Hertz HMD: head‐mounted device I: ischaemic I/H: ischemic/hemorrhagic ICD: International Classification of Diseases K‐MBI: Korean version of Modified Barthel Index L: left LED: light‐emitting diode LCD: liquid‐crystal display L/R: left/right m: metre m/s: metre per second MBI: Modified Barthel Index MMSE: Mini Mental State Examination MMSE‐K: Mini Mental State Examination‐Korean version MoCA: Montreal Cognitive Assessment MRI: magnetic resonance imaging m/s: meter/second N: number n/a: not applicable NDT: Neurodevelopmental treatment NIHSS: National Institutes of Health Stroke Scale NEWSQOL: Newcastle Stroke‐Specific Quality of Life Measure NMES: neuromuscular electrical stimulation NRS: numerical rating scale OR: odds ratio PASS: Postural Assessment Scale for Stroke PBS(s): pressure biofeedback system PEDro: Physiotherapy Evidence Database (PEDro)‐scale PNF: proprioceptive neuromuscular facilitation POMA: Performance‐oriented Mobility Assessment R: right RCT: randomised controlled trial RNLI: Reintegration to Normal Living Index RS: rhythmic stabilisation s: seconds SD: standard deviation SE: standard error SET: sling exercise therapy SF‐36: 36‐Item Short Form Survey SIS‐16: Stroke Impact Scale SMART: Specific, Measurable, Achievable, Realistic, and Timely SMD: standardised mean differences SPVFTCT: smartphone‐based visual feedback trunk control training SR: stabilising reversal S‐TIS: Spanish‐Trunk Impairment Scale 2.0 STREAM: Stroke Rehabilitation Assessment of Movement SVGA: Super VideoGraphics Array TENS: transcutaneous electrical nerve stimulation TIS: Trunk Impairment Scale tNMES: trunk neuromuscular electrical stimulation TrA: transversus abdominis TRTT: task‐related trunk training TUG: Timed Up and Go Test STE: selective‐trunk exercise VAS: visual analogue scale VG: vibration group VG: video game VR: virtual reality VRT: Virtual reality training WBV: whole‐body vibration WSE: weight‐shifting exercise WST: weight‐shifting training
Data and analyses
Comparison 1. Experimental training vs control group (Non‐dose‐matched therapy in control group).
Outcome or subgroup title | No. of studies | No. of participants | Statistical method | Effect size |
---|---|---|---|---|
1.1 Activities of daily living | 5 | 283 | Std. Mean Difference (IV, Fixed, 95% CI) | 0.96 [0.69, 1.24] |
1.2 Trunk function | 14 | 466 | Std. Mean Difference (IV, Fixed, 95% CI) | 1.49 [1.26, 1.71] |
1.3 Arm‐hand function | 2 | 74 | Std. Mean Difference (IV, Fixed, 95% CI) | 0.67 [0.19, 1.15] |
1.4 Arm‐hand activity | 1 | 30 | Std. Mean Difference (IV, Fixed, 95% CI) | 0.84 [0.09, 1.59] |
1.5 Standing balance | 11 | 410 | Std. Mean Difference (IV, Fixed, 95% CI) | 0.57 [0.35, 0.79] |
1.6 Leg function | 1 | 64 | Std. Mean Difference (IV, Fixed, 95% CI) | 1.10 [0.57, 1.63] |
1.7 Walking ability | 11 | 383 | Std. Mean Difference (IV, Fixed, 95% CI) | 0.73 [0.52, 0.94] |
1.8 Quality of life | 2 | 108 | Std. Mean Difference (IV, Fixed, 95% CI) | 0.50 [0.11, 0.89] |
1.9 Death and serious adverse events, including falls | 6 | 201 | Peto Odds Ratio (Peto, Fixed, 95% CI) | 7.94 [0.16, 400.89] |
1.10 Barthel Index | 4 | 209 | Mean Difference (IV, Fixed, 95% CI) | 11.58 [6.80, 16.35] |
1.11 Trunk Impairment Scale version 1.0 | 10 | 280 | Mean Difference (IV, Fixed, 95% CI) | 2.88 [2.72, 3.04] |
1.12 Modified Functional Reach test | 3 | 82 | Mean Difference (IV, Fixed, 95% CI) | 2.17 [1.03, 3.30] |
1.13 Berg Balance Scale | 7 | 270 | Mean Difference (IV, Fixed, 95% CI) | 5.75 [5.06, 6.43] |
1.14 Timed Up and Go Test | 7 | 170 | Mean Difference (IV, Fixed, 95% CI) | ‐0.46 [‐0.75, ‐0.17] |
1.15 Tinetti Gait | 3 | 146 | Mean Difference (IV, Fixed, 95% CI) | 1.90 [0.96, 2.84] |
1.16 Ten‐Meter Walk Test | 2 | 49 | Mean Difference (IV, Fixed, 95% CI) | 0.06 [‐0.01, 0.13] |
Comparison 2. Experimental training vs control group (Dose‐matched therapy in control group).
Outcome or subgroup title | No. of studies | No. of participants | Statistical method | Effect size |
---|---|---|---|---|
2.1 Activities of daily living | 9 | 229 | Std. Mean Difference (IV, Fixed, 95% CI) | 0.10 [‐0.17, 0.37] |
2.2 Trunk function | 36 | 1217 | Std. Mean Difference (IV, Fixed, 95% CI) | 1.03 [0.91, 1.16] |
2.3 Arm‐hand function | 1 | 19 | Std. Mean Difference (IV, Fixed, 95% CI) | 0.76 [‐0.18, 1.70] |
2.4 Arm‐hand activity | 3 | 112 | Std. Mean Difference (IV, Fixed, 95% CI) | 0.17 [‐0.21, 0.56] |
2.5 Standing balance | 22 | 917 | Std. Mean Difference (IV, Fixed, 95% CI) | 1.00 [0.86, 1.15] |
2.6 Leg function | 4 | 254 | Std. Mean Difference (IV, Fixed, 95% CI) | 1.57 [1.28, 1.87] |
2.7 Walking ability | 19 | 535 | Std. Mean Difference (IV, Fixed, 95% CI) | 0.69 [0.51, 0.87] |
2.8 Quality of life | 2 | 111 | Std. Mean Difference (IV, Fixed, 95% CI) | 0.70 [0.29, 1.11] |
2.9 Death and serious adverse events, including falls | 10 | 381 | Peto Odds Ratio (Peto, Fixed, 95% CI) | 7.39 [0.15, 372.38] |
2.10 Barthel Index | 6 | 151 | Mean Difference (IV, Fixed, 95% CI) | 2.21 [‐0.82, 5.25] |
2.10.1 Dose‐matched therapy in control group | 6 | 151 | Mean Difference (IV, Fixed, 95% CI) | 2.21 [‐0.82, 5.25] |
2.11 Trunk Impairment Scale version 1.0 | 26 | 883 | Mean Difference (IV, Fixed, 95% CI) | 1.87 [1.66, 2.08] |
2.12 Modified Functional Reach test | 4 | 112 | Mean Difference (IV, Fixed, 95% CI) | 0.13 [0.10, 0.16] |
2.13 Berg Balance Scale | 15 | 647 | Mean Difference (IV, Fixed, 95% CI) | 2.22 [1.93, 2.51] |
2.14 Timed Up and Go Test | 5 | 99 | Mean Difference (IV, Fixed, 95% CI) | ‐0.27 [‐2.24, 1.70] |
2.15 Tinetti Gait | 4 | 171 | Mean Difference (IV, Fixed, 95% CI) | 2.16 [1.56, 2.76] |
2.16 Ten‐Meter Walk Test | 4 | 97 | Mean Difference (IV, Fixed, 95% CI) | 0.32 [0.01, 0.62] |
Characteristics of studies
Characteristics of included studies [ordered by study ID]
An 2017.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to explore how additional trunk muscle training can be effective for mobility, balance, and trunk control of chronic stroke patients | |
Participants |
Baseline characteristics Experimental training:
Control group (same amount of additional therapy)
Inclusion criteria: people with chronic stroke after 6 months of diagnosis, having a higher score than 24 in MMSE‐K, being able to walk 10 metres independently, and scoring less than 21 on the TIS Exclusion criteria: people with scores higher than 21 on the TIS were excluded from this study as it indicates that they can perform everyday activities independently. Pretreatment: there were no significant demographic differences between the groups. Sample size calculation: the effect size was computed using the formula d = d/s (d) where d is the mean difference scores, and s(d) is the standard deviation of the difference scores. Effect size index was then defined using Cohen’s classification of effect size index (d), where small d = 0.20, medium d = 0.50 and large d = 0.80. Hopkins (2000) suggests that a sample size of at least 30 individuals should be considered in reliability studies. In this case, the sample size was 31 using G*power software ver 3.1.9.2 (Kiel University, Germany) on effect size 0.85, alpha = 0.05, power = 0.95. |
|
Interventions |
Intervention characteristics Experimental training
Control group (same amount of additional therapy)
|
|
Outcomes | Standing balance
Walking ability
Trunk function
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Low risk | The 28 participants with chronic stroke were observer‐blinded, randomised through the block randomisation method, block size of 2 x 2. |
Allocation concealment (selection bias) | Low risk | The method of allocation was concealed in sequentially‐numbered, sealed envelopes. An independent observer who was not involved in interventions or the outcome measures performed the randomisation. Allocated into 2 groups: 19 participants were in the selective‐trunk exercise (STE) group and 19 in the control group. |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | Not reported |
Blinding of outcome assessment (detection bias) All outcomes | Low risk | Observer‐blinded |
Incomplete outcome data (attrition bias) All outcomes | Low risk | 27 participants completed the study. 1 participant in the control group was lost to follow‐up at 3 weeks. Reason for loss to follow‐up was not reported. |
Selective reporting (reporting bias) | High risk | No study registration. Almost all outcomes (except for TIS static) were significant in favour of the experimental group. Inconsistent reporting of the numbers recruited into the study and the numbers followed up, no CONSORT diagram |
Other bias | Low risk | No other potential sources of bias found |
Bae 2013.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to examine the changes in the cross‐sectional area of the trunk muscles using CT and investigate how the trunk stabilisation exercise affects balance ability. This study also aimed to establish a scientific basis for an effective trunk muscle training environment for stroke patients. | |
Participants |
Baseline characteristics Experimental training
Control group (same amount of additional therapy)
Inclusion criteria: those who were diagnosed with an ischaemic or haemorrhagic stroke and whose onset of stroke was 6 months earlier or longer, who were able to sit independently for longer than 30 seconds, who did not have hemineglect, who were able to understand a therapist’s direction and communicate, who were able to perform exercises for 30 minutes or longer, who did not have a medical contraindication against trunk exercise, who had no disease affecting balance, and who had no history of surgery due to musculoskeletal diseases were included in the study. Exclusion criteria: not reported Pretreatment: no statistical test performed at baseline that evaluated group differences Sample size calculation: no data available |
|
Interventions |
Intervention characteristics Experimental training
Control group (same amount of additional therapy)
|
|
Outcomes | Trunk function
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Unclear risk | Using white and black cards, this study assigned the participants equally to 2 experimental groups: group 1 performed trunk stabilisation exercises on a stable support surface, and group 2 performed trunk stabilisation exercises on an unstable support surface. |
Allocation concealment (selection bias) | Unclear risk | Judgement comment: not described in the study |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | No details were available in the study. |
Blinding of outcome assessment (detection bias) All outcomes | Unclear risk | Judgement comment: no description of blinding of assessor |
Incomplete outcome data (attrition bias) All outcomes | Unclear risk | No flow chart was available. The groups were the same size, but it could not be determined from the text whether 8 people per group was the goal or whether there were dropouts who were removed from the analysis. |
Selective reporting (reporting bias) | Unclear risk | No study registration available, no P values reported; both significant and non‐significant results were included in the trial. |
Other bias | Low risk | No other potential sources of bias found |
Bilek 2020.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to investigate the contribution of NMES to ES muscles, which is one of the important core muscles, in hemiparetic stroke patients on trunk control, mobility, balance, cognitive functions, and functional status. The results of this comprehensive study will have clinical importance in the planning of an ideal rehabilitation programme for the treatment of stroke patients. | |
Participants |
Baseline characteristics Experimental training
Control group (same amount of additional therapy)
Inclusion criteria: hemiplegia or hemiparesis due to the first history of CVD, at least 3 months after CVD, MMSE score ≥ 15 Exclusion criteria: people with ataxia, dystonia or dyskinesia; people with deep sensory disorders; people with a detection disorder and dementia; people with bilateral hemiplegia; people with implanted pacemakers or defibrillators Pretreatment: there were no significant differences between the groups with respect to gender, median age, BMI, and affected side ratio (P > 0.05) Sample size calculation: no data available |
|
Interventions |
Intervention Characteristics Experimental training
Control group (same amount of additional therapy)
|
|
Outcomes | Standing balance
Walking ability
Trunk function
Quality of life
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Low risk | A computer random allocation was used to randomly allocate the participants to a group. |
Allocation concealment (selection bias) | Unclear risk | Not clearly described in the manuscript |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | Quote: "Patients were blinded to the intervention". Personnel were not blinded. |
Blinding of outcome assessment (detection bias) All outcomes | Low risk | Quote: "Evaluator was also blinded to all groups." |
Incomplete outcome data (attrition bias) All outcomes | Unclear risk | No dropouts reported |
Selective reporting (reporting bias) | Unclear risk | No study registration is available; all outcomes were positive. |
Other bias | Low risk | No other potential sources of bias found |
Büyükavcı 2016.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to compose an oriented circuit training programme with the aim of improving trunk balance in addition to conventional rehabilitation programme in stroke patients, and to assess the impact of these exercises on balance, functional condition, and ambulation | |
Participants |
Baseline characteristics Experimental training
Control group (no additional therapy)
Overall
Inclusion criteria: hemiplegic patients for whom at least 3 weeks had passed since the usual time for admission following intracerebral infarction or haematoma Exclusion criteria: determined as having a previous history of stroke, a present disease in the cerebellar system, dorsal column or vestibular system, lack of ability to understand instructions, presence of a major perceptual or cognitive disorder, serious visual defect, cardiorespiratory disease, neglect (determined by star cancellation test), lack of sitting balance, orthopaedic diseases hindering exercises in reaching position. People who scored grade 5 or 6 according to Brunnstrom staging were also excluded since they were in good functional condition. Perceptual and cognitive condition was evaluated with a mini‐mental test, and people with a score of 16 and higher were included in the study. Pretreatment: there was no difference between groups in terms of the participants’ mean age, time since stroke, and gender distribution. As far as aetiology of stroke was concerned, thromboembolism became significant in both groups (77% in the control group and 86% in the intervention group). The dominant side was affected in 18 participants in the control group and 17 participants in the intervention group; there was no difference between the groups (P = 0.802). Sample size calculation: scales were completed to evaluate 8 participants to determine the number of participants in the intervention group and a power analysis was made. Assuming a difference of 50%, 32 participants were included in each group for a significance level of P < 0.05. |
|
Interventions |
Intervention characteristics Experimental training
Control group (no additional therapy)
|
|
Outcomes | Trunk function
Standing balance
Arm‐hand activity
Leg function
Activities of daily living
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Low risk | Quote: After obtaining “written informed consent forms,” participants were randomised into two groups using the “Random Number Generator Program”. |
Allocation concealment (selection bias) | Unclear risk | No description available in this trial |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | Quote: "double‐blinded randomized" Judgement comment: no description was made of blinding participant or personnel. |
Blinding of outcome assessment (detection bias) All outcomes | Low risk | Quote: "Examinations were administered by an author who was blind to the treatment." |
Incomplete outcome data (attrition bias) All outcomes | Low risk | Quote: "One patient in the intervention group discontinued the study on the 12th day of admission due to femoral fracture and 32 patients completed the study ... " |
Selective reporting (reporting bias) | Low risk | Judgement comment: significant and insignificant results were reported. |
Other bias | Low risk | No other potential sources of bias found |
Cabanas‐Valdés 2016.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to investigate the effect of including additional core‐stability exercises to conventional therapy on improving trunk performance and dynamic sitting balance. Additionally, this study aimed to determine whether core‐stability exercises might also positively affect standing balance, gait, and activities of daily living in subacute post‐stroke patients | |
Participants |
Baseline characteristics Experimental training
Control group (no additional therapy)
Inclusion criteria: all patients (age 18 years or older) who had experienced their first stroke, whether ischaemic or haemorrhagic (not requiring surgery), within the last 3 months were eligible for inclusion. The stroke diagnosis was based on the World Health Organization guidelines and was confirmed by clinical examination and magnetic resonance imaging. Exclusion criteria: included significant disability prior to stroke as evidenced by a score of > 3 on the modified Rankin scale, a Barthel Index score ≥ 75, and a Spanish version of Trunk Impairment Scale 2.0 score ≥ 10. Other exclusion criteria included orthopaedic or neurological impairments that could influence sitting balance, inability to understand instructions as assessed by a Mini Mental State Examination score ≤ 24, apraxia, and hemineglect. Pretreatment: no differences were found between the 2 groups for the collected demographic variables or stroke‐related parameters. Comparisons between the groups at baseline also showed no difference for any physical outcome measures (P > 0.05), except for the stepping section of the Brunel Balance Assessment (gait) (P = 0.020). Sample size calculation: the number of participants required for this study was calculated taking into consideration the score variable “dynamic sitting balance subscale” on the Spanish version of the Trunk Impairment Scale 2.0. A standard deviation of 2.3 was assumed in both groups based on the results in the validation study for this scale performed prior to the trial. A type I error of 5% and a two tailed t‐test with 80% power were also assumed. It was estimated that 37 participants would need to be included in each study arm in order to detect a 1.5‐point improvement, yielding a total of 74 participants. To offset any possible dropouts estimated at < 10%, the final sample size was set at 80 participants. |
|
Interventions |
Intervention characteristics Experimental training
Control group (no additional therapy)
|
|
Outcomes | Trunk function
Standing balance
Activities of daily living
Walking ability
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Low risk | Quote: "Study participants were randomly allocated to either an experimental group or control group by means of a random computer‐generated list specific to each centre. The randomization was managed by an external person uninvolved in the treatment or follow‐up of patients." |
Allocation concealment (selection bias) | Low risk | Quote: "The method of allocation was concealed in sequentially numbered, sealed, opaque envelopes." |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | No blinding mentioned |
Blinding of outcome assessment (detection bias) All outcomes | Low risk | Quote: "The principal investigator did not participate in the intervention but performed all of the clinical evaluations in a blinded manner." |
Incomplete outcome data (attrition bias) All outcomes | Low risk | Judgement comment: a flow chart was available. It indicated that there were no dropouts during the intervention. |
Selective reporting (reporting bias) | Low risk | No registration available; however, both significant and insignificant results were reported. |
Other bias | Low risk | No other potential sources of bias found |
Cano‐Mañas 2020.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to examine the effects of a protocol based on a commercial video game (VG) on balance, postural control, functionality, quality of life, and motivation outcomes in people with subacute stroke | |
Participants |
Baseline characteristics Experimental training
Control group (no additional therapy)
Inclusion criteria: people of both sexes diagnosed with ischaemic or haemorrhagic stroke confirmed by medical imaging, in the subacute phase, and aged between 18 and 80 years, with a score on the NIHSS below 20, a MoCA score equal to or above 14 (mild cognitive decline or absence of cognitive decline), a modified Rankin scale score between 0 and 4, participant able to maintain a standing position unassisted, and a score of ≥ 1 on the FAC Exclusion criteria: the presence of other visual, auditory, musculoskeletal, bone, or joint alterations in the acute or chronic phase that could influence the primary pathology; the presence of other neurological or cardiovascular illnesses which contraindicated physical exercise; people unable to maintain a sitting position unassisted; people who, at any time, displayed a worsening state of health due to another medical problem; people who displayed a contraindication for the use of video game devices and commercial video games, such as the presence of photosensitive epilepsy, or a score above 2 in the extremities on the modified Ashworth scale; and people who were unable to collaborate, with behavioural disorders, or rejecting treatment with video game‐based systems Pretreatment: the variables of age, time of evolution post‐stroke, NIHSS, and MoCA test followed a normal distribution. Statistically significant differences were observed between the groups for the variables on the affected side (P = 0.03) and the MoCA test (P = 0.01). The percentage of participants diagnosed with ischaemic stroke was 60% in the control group and 73.9% in the experimental group. Regarding the affected side of the body, the left side was affected in 60% of participants in the control group and 87% in the experimental group. Concerning the previous management of technological tools, 68% of participants in the control group were familiar with the use of technology, compared to 69.6% in the experimental group. No statistically significant differences were observed for the remaining variables administered prior to the intervention period, with the exception of pain/discomfort, anxiety/depression, and VAS for perceived health status. Sample size calculation: the main outcome measure used to calculate the sample size was the modified Rankin scale. The G∗Power 3.1.6 program was used for statistical analysis, considering that the estimated effect size for the main measure was 0.25. Considering a statistical power test of 0.95, an alpha error of 0.05, and a total of 2 measurements performed for the 2 groups, the estimated sample size required was 48 participants. |
|
Interventions |
Intervention characteristics Experimental training
Control group (no additional therapy)
|
|
Outcomes | Activities of daily living
Standing balance
Walking ability
Quality of life
Visual Analogue Scale
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Low risk | Quote: "The participants were randomly distributed into two groups, using the QuickCalcs application by GraphPad Software ®: a control group (n = 28) and an experimental group (n = 28)." |
Allocation concealment (selection bias) | Unclear risk | No description available in this trial |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | No blinding mentioned for participants and personnel |
Blinding of outcome assessment (detection bias) All outcomes | Low risk | All the assessments were performed with 2 evaluators who were blinded to the established study groups |
Incomplete outcome data (attrition bias) All outcomes | Low risk | There were 3 dropouts in the control group (n = 25, 11%) and 5 dropouts in the experimental group (n = 23, 18%). This was due to a worsening of their general health status and was not related to the type of intervention performed and/or transfers to another hospital centre. Flow chart was available. |
Selective reporting (reporting bias) | Low risk | Study registration was available; no reason to suggest reporting bias |
Other bias | High risk | Judgement comment: difference between group at baseline for side of body affected and MoCA test |
Chan 2015.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to compare the effectiveness of 3 treatment protocols—(1) TENS + TRTT, (2) placebo‐TENS + TRTT, and (3) no active treatment — for people with chronic stroke | |
Participants |
Baseline characteristics Experimental training
Selective‐trunk training
Control group (no additional therapy)
Overall
Inclusion criteria: diagnosed with single stroke more than 6 months previously, had impaired sitting balance as indicated by a balance score of 3 to 5 out of 6 on the Motor Assessment Scale, had been discharged from all rehabilitation services for more than 3 months, and could get support by a caregiver for the home‐based programme Exclusion criteria: if they had medical comorbidities such as unstable blood pressure, used a cardiac pacemaker, had cognitive impairment indicated by scoring less than 7 out of 10 on the Abbreviated Mental Test, had unilateral neglect as indicated by a star cancellation test score or showed severe sensory deficits in the pin prick test. Pretreatment: there were no significant differences among the 3 groups at baseline, including demographic data, mean isometric peak trunk flexion torque and extension torque, forward and lateral seated reaching distance, and TIS scores Sample size calculation: the sample size was calculated using the Power Analysis and Sample Size software package (version 8 for Windows). An average effect size for the outcome measures of 0.59 was adopted on the basis of the meta‐analysis. The estimated sample size for each group was 11. Four additional participants were recruited in anticipation of a dropout rate of 10% during the course of the study. The confidence level for statistical significance was set at 5% (α = 0.05) with power equal to 80% (β = 0.2). |
|
Interventions |
Intervention characteristics Experimental training
Selective‐trunk training
Control group (no additional therapy)
|
|
Outcomes | Trunk function
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Unclear risk | No description available in this trial |
Allocation concealment (selection bias) | Low risk | Quote: "After that baseline assessment, concealed randomization was conducted by a clerical worker who was not involved in the study." |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | No blinding mentioned |
Blinding of outcome assessment (detection bias) All outcomes | Low risk | Assessor‐blinded |
Incomplete outcome data (attrition bias) All outcomes | Low risk | 5 participants of the total group of 47 withdrew in the intervention period. Reasons for dropout were provided. For the control group, dropout was due to schedule conflicts. Dropout in the intervention groups were not related to the intervention. |
Selective reporting (reporting bias) | Low risk | Registration was available and no selective reporting could be detected. |
Other bias | Low risk | No other potential sources of bias found |
Chen 2020.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to evaluate the effects of rehabilitation training of core muscle stability on the balance function, ambulation ability, and abdominal muscle thickness of stroke patients with hemiplegia, aiming to provide valuable clinical evidence for their treatment | |
Participants |
Baseline characteristics Experimental training
Control group
Inclusion criteria: (1) in accordance with the diagnostic criteria for stroke formulated at the 4th National Conference on the Diagnosis of Cerebrovascular Diseases, with confirmation by head CT or MRI; (2) first onset; (3) course within 6 months with stable conditions; (4) with ability to understand the instructions of researchers, and score of MMSE scale of ≥ 24 points; (5) with ability to maintain a standing position for over one minute with eyes open Exclusion criteria: (1) with serious heart, lung, liver, kidney and other diseases of vital organs, as well as unstable vital signs; (2) with other nervous system diseases causing balance dysfunction; (3) with severe orthopaedic diseases affecting standing; (4) with serious cognitive, speech, or vision disorder to be unable to complete the study; (5) underweight (BMI < 18.5) or overweight (BMI ≥ 24) Pretreatment: there were no significant differences in gender, age, BMI, duration of disease, as well as nature and site of lesions between the two groups (P > 0.05) Sample size calculation: N not calculated |
|
Interventions |
Intervention characteristics Experimental training
Control group
|
|
Outcomes | Standing balance
Leg function
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Unclear risk | The 180 included patients were randomly divided into an observation group and a control group (n = 90). There were no significant differences. |
Allocation concealment (selection bias) | Unclear risk | The 180 included patients were randomly divided into an observation group and a control group (n = 90). No further details were described. |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | No blinding mentioned |
Blinding of outcome assessment (detection bias) All outcomes | Low risk | All tests were conducted in a single‐blinded manner, i.e. the operators were unaware of study grouping or treatment methods. |
Incomplete outcome data (attrition bias) All outcomes | Unclear risk | No data about participant dropout available |
Selective reporting (reporting bias) | Unclear risk | No registration and no P values were available. Significant and non‐significant outcomes reported |
Other bias | Low risk | No other potential sources of bias found |
Chitra 2015.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to compare the effectiveness of core‐stability exercises and pelvic PNF on balance, motor recovery, and function in people with hemiparesis | |
Participants |
Baseline characteristics Experimental training
Control group (same amount of additional therapy)
Inclusion criteria: diagnosed with the first unilateral stroke with onset less than 6 months prior, age between 45 and 70 years, able to ambulate 10 metres with or without walking aids, MMSE score greater than 24/30 Exclusion criteria: neurological disease affecting balance other than a stroke, such as cerebellar disease, Parkinson's disease and/or a vestibular lesion. Recent surgeries of abdomen and pelvis fracture less than 6 months prior, medically unstable, musculoskeletal disorders such as low backache, arthritis, or degenerative disease of the lower limbs affecting motor performance Pretreatment: no significant differences at baseline Sample size calculation: not reported |
|
Interventions |
Intervention characteristics Experimental training
Control group (same amount of additional therapy)
|
|
Outcomes | Standing balance
Activities of daily living
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Unclear risk | Judgement comment: used the lottery method |
Allocation concealment (selection bias) | Unclear risk | No description available in this trial |
Blinding of participants and personnel (performance bias) All outcomes | High risk | Participants were briefed about the nature of the study. |
Blinding of outcome assessment (detection bias) All outcomes | Unclear risk | No description available in this trial |
Incomplete outcome data (attrition bias) All outcomes | Unclear risk | No dropouts reported; no flow chart; not mentioned that all participants were tested post‐intervention |
Selective reporting (reporting bias) | Low risk | No significant differences between groups reported after intervention |
Other bias | Low risk | No other potential sources of bias found |
Choi 2014.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to investigate the effects of task‐oriented training with whole body vibration (WBV) on the sitting balance of stroke patients. | |
Participants |
Baseline characteristics Experimental training
Control group (same amount of additional therapy)
Inclusion criteria: the inclusion criteria were history and clinical presentation (hemiparesis) of stroke (> 6 month post‐event); ability to sit independently for at least 10 minutes; no participation in any balance training programme during the previous 6 months; no orthopaedic problems, such as a fracture, deformity, or severe osteoarthritis; and sufficient cognitive ability to participate in the training: MMSE‐K scores of 21 or higher. Participation in the study was voluntary and the participants fully understood the contents of this study. Exclusion criteria: the exclusion criteria were comorbidity or disability other than stroke, and an uncontrolled health condition for which vibration was contraindicated. Pretreatment: there were no significant differences in gender, paretic side, age, weight, height, or duration of onset between the groups. Sample size calculation: n/a |
|
Interventions |
Intervention characteristics Experimental training
Control group (same amount of additional therapy)
|
|
Outcomes | Trunk function
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Unclear risk | Quote: "The participants were randomly assigned to the experimental group (n 1 = 15) or the control group (n 2 = 15)." |
Allocation concealment (selection bias) | Unclear risk | No description available in this trial |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | No blinding |
Blinding of outcome assessment (detection bias) All outcomes | High risk | No blinding |
Incomplete outcome data (attrition bias) All outcomes | Low risk | All participants completed the intervention and the tests. |
Selective reporting (reporting bias) | High risk | No registration available and no P values were reported. |
Other bias | Low risk | No other potential sources of bias found |
Chung 2013.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to examine the effect of core stabilisation exercise on dynamic balance and gait functions in stroke patients | |
Participants |
Baseline characteristics Experimental training
Control group (no additional therapy)
Inclusion criteria: (1) independent gait ability with or without walking aid for a minimum of 15 m; (2) a MMSE score greater than 24/30; (3) adequate vision and hearing for completion of the study protocol, as indicated by the ability to follow written and oral instructions during screening; and (4) the capacity to understand and follow instructions Exclusion criteria: (1) a history of previous stroke or other neurologic diseases or disorders; (2) patients with pusher syndrome (defined as leaning to the hemiparetic side and giving resistance to any attempt at passive correction); (3) terminal illness; and (4) pain, limited motion, or weakness in the non‐paretic lower extremity that affected performance of daily activities (by self‐report) Pretreatment: no statistical test performed to evaluate the between group differences based on P values Sample size calculation: not reported |
|
Interventions |
Intervention characteristics Experimental training
Control group (no additional therapy)
|
|
Outcomes | Walking ability
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Unclear risk | Quote: "The subjects were randomly divided into the core stabilization exercise group (eight subjects) and the control group (eight subjects)." |
Allocation concealment (selection bias) | Unclear risk | No description available in this trial |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | No blinding mentioned |
Blinding of outcome assessment (detection bias) All outcomes | Unclear risk | Not described by the study authors |
Incomplete outcome data (attrition bias) All outcomes | High risk | No flow chart; not reported whether all participants completed the entire study |
Selective reporting (reporting bias) | Low risk | Quote: "No significant increase was observed in affected side step length (from 35.98 ± 12.95 cm to 41.54 ± 10.58 cm, P = 0.160) and stride length (from 69.51 ± 21.99 cm to 87.71 ± 18.89 cm, P = 0.075)." |
Other bias | Low risk | No other potential sources of bias found |
Chung 2014.
Study characteristics | ||
Methods |
Study design: RCT
Study grouping: parallel group Aim: to examine the feasibility of real‐time feedback on postural stability and gait performance in people with chronic hemiparetic stroke during core stabilisation exercises. The hypothesis of this study was that core stabilisation exercises with real‐time feedback can improve postural stability and gait performance. |
|
Participants |
Baseline characteristics Experimental training
Control group (same amount of additional therapy
Inclusion criteria: (1) more than six months after clinical diagnosis of ischaemic or haemorrhagic hemiparetic stroke; (2) sufficient cognitive ability to participate, as indicated by a MMSE score of 24 or higher; (3) independent gait ability with or without use of a walking aid for a minimum of 15 metres; (4) able to understand and follow verbal instructions, and (5) the ability to understand and follow instructions Exclusion criteria: severe hemineglect, history or current diagnoses of other neurological diseases or musculoskeletal conditions, pain, limited motion, or weakness in the less affected lower extremity that affected the performance of daily activities (by self‐report), and treatment for spasticity for up to three months (for botulinum toxin or baclofen injections) Pretreatment: no significant differences between groups at baseline Sample size calculation: not calculated |
|
Interventions |
Intervention characteristics Experimental training
Control group (same amount of additional therapy)
|
|
Outcomes | Walking ability
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Unclear risk | Randomly assigned to an experimental group, which met three times per week for 30 minutes for a period of six weeks, or a control group, which met three times per week for 30 minutes over the same period |
Allocation concealment (selection bias) | High risk | No concealed allocation |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | Nothing was described about blinding of participants or personnel. |
Blinding of outcome assessment (detection bias) All outcomes | Low risk | Quote: "Measurements were performed by four physical therapists ... in order to exclude the influences of participant’s knowledge of this study". |
Incomplete outcome data (attrition bias) All outcomes | High risk | Seven participants dropped out before the post‐test (three in the experimental group and four in the control group), due to a lack of participation and discharge from the hospital. The reasons for dropouts were described vaguely. |
Selective reporting (reporting bias) | Low risk | No registration was available. Study reported significant and non‐significant results. |
Other bias | Unclear risk | No other potential sources of bias found |
Dean 1997.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to examine the effect of a training programme designed to improve the ability to balance in sitting after stroke | |
Participants |
Baseline characteristics Experimental training
Control group (same amount of additional therapy)
Inclusion criteria: (1) diagnosis of stroke resulting in hemiplegia at least 12 months ago; (2) discharge from all rehabilitation services; (3) ability to understand instructions; (4) ability to give informed consent; (5) no orthopaedic problem that would interfere with the ability to perform seated reaching tasks; and (6) ability to sit unsupported for a period of 20 minutes Exclusion criteria: no participant had hemianopsia or any obvious cognitive or perceptual problems as evaluated with the MMSE score 25 and the Letter Cancellation Test. Pretreatment: there were no significant differences between the groups in terms of age, time since stroke, or walking velocity (age, P = 0.717; time since stroke, P = 0.864; walking velocity, P = 0.248). Sample size calculation: not reported |
|
Interventions |
Intervention characteristics Experimental training
Control group (same amount of additional therapy)
|
|
Outcomes | Trunk function
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Low risk | Judgement comment: participants were randomly assigned to either the experimental or control group. Randomisation was blocked to ensure equal numbers in the groups. The procedure involved random sampling without replacement; participants drew a card from a box that was originally filled with 10 control and 10 experimental cards. |
Allocation concealment (selection bias) | High risk | Judgement comment: randomisation was blocked to ensure equal numbers in the groups. |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | Judgement comment: the control group had sham training that incorporated the performance of cognitive‐manipulative tasks while seated at a table. Sham training was performed so that subjects would consider themselves involved in a training programme and to eliminate any effect due to placebo. Study personnel was not blinded. |
Blinding of outcome assessment (detection bias) All outcomes | Low risk | Judgement comment: walking speed and cognitive‐manipulative tasks were evaluated by an assessor blinded to the participant’s group allocation. Biomechanical data collection and analysis for the seated reaching tasks and sit‐to‐stand were computerised, which minimised experimenter bias because group allocation was not evident to the operator. |
Incomplete outcome data (attrition bias) All outcomes | Low risk | Judgement comment: one participant (participant 17) from the control group dropped out of the study because of an acute neurological episode that required hospitalisation. |
Selective reporting (reporting bias) | High risk | Judgement comment: walking speed and level of independence were not given after intervention. |
Other bias | Low risk | No other potential sources of bias found |
Dean 2007.
Study characteristics | ||
Methods |
Study design: randomised controlled trial Study grouping: parallel group Aim: the research questions for this study were: in individuals within three months of a stroke who are able to sit unsupported: 1. does completion of a 2‐week sitting training protocol improve sitting ability (maximum reach distance) and sitting quality (reaching performance)? 2. does completion of a 2‐week sitting training protocol have carry‐over benefits to standing up and walking? 3. are any gains maintained six months after the cessation of training? |
|
Participants |
Baseline Characteristics Experimental training
Control group (same amount of additional therapy)
Inclusion criteria: people were included if they had: (1) a diagnosis of first stroke resulting in hemiplegia within the previous three months; (2) no orthopaedic problems which would interfere with the ability to perform seated reaching tasks; (3) no visual problems which would interfere with reaching to pick up objects or reading; (4) a score of at least 3 on Item 3 (sitting balance) of the Motor Assessment Scale for Stroke; (5) the ability to reach with intact arm a distance equivalent to 140% of arm’s length; (6) no major cognitive or perceptual problems identified using the short portable mental status questionnaire; (7) no left neglect identified using the Letter Cancellation Test; (8) the ability to give informed consent; and (9) the ability to understand instructions. Exclusion criteria: not reported Pretreatment: not calculated Sample size calculation: not available |
|
Interventions |
Intervention Characteristics Experimental training
Control group (same amount of additional therapy)
|
|
Outcomes |
Trunk function
Walking ability
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Low risk | Quote: "Randomisation was concealed from the recruiter and assessor by using sealed opaque envelopes containing the allocation, which was generated earlier by a person independent of the study using random number tables, blocked to ensure equal numbers of experimental and control participants." The size of the blocks were unknown so it was impossible to perform a future randomisation in the exact same way. |
Allocation concealment (selection bias) | Low risk | Quote: "Randomisation was concealed from the recruiter and assessor by using sealed opaque envelopes containing the allocation, which was generated earlier by a person independent of the study using random number tables, blocked to ensure equal numbers of experimental and control participants." |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | Quote: "Participants in the control group completed a sham sitting training protocol designed to improve attention (Dean 1997). Sham training was performed so that participants would consider themselves involved in a training programme, which would eliminate any effect due to placebo." However, it was unclear how the personnel was blinded. |
Blinding of outcome assessment (detection bias) All outcomes | Low risk | The third author remained blinded to group allocation and collected the outcomes measures post‐training and six months later. The collection of some outcome measures required two persons, one of whom was not blinded. To reduce bias, the blinded assessor (third author) gave all instructions and measured outcomes which were not collected by the computer. |
Incomplete outcome data (attrition bias) All outcomes | Low risk | Quote: "Reasons for loss to follow‐up were: 1 refusal (experimental), 1 death (control), and 1 no longer residing at address and unable to be contacted (control)." Quote: "All 12 participants received intervention as allocated and completed post testing." |
Selective reporting (reporting bias) | High risk | Judgement comment: no P values reported |
Other bias | Low risk | No other potential sources of bias found |
DeLuca 2020.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Why: to evaluate the effectiveness of a robot‐based trunk and balance training in improving the recovery in chronic stroke patients compared to a traditional physical therapy programme | |
Participants |
Baseline characteristics Experimental training
Control group (same amount of additional therapy)
Inclusion criteria: age between 18 and 75 years; unilateral stroke detected by magnetic resonance; chronic stroke (more than 6 months after the disease onset); Berg Balance Scale ≥ 41/56; ability to walk for at least 10 metres; intact cognitive status (MMSE > 26/30 or Token Test > 26 for patients with aphasia) Exclusion criteria: participants with visual, vestibular, orthopaedic or other neurological diseases were excluded from the study. Pretreatment: there were no significant differences between groups regarding demographic data, side of hemiparesis, stroke aetiology, or outcome measures at T0. Sample size calculation: not reported |
|
Interventions |
Intervention characteristics Experimental training
Control group (same amount of additional therapy)
|
|
Outcomes | Trunk function
Standing balance
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Unclear risk | No description available in this trial |
Allocation concealment (selection bias) | Unclear risk | Judgement comment: no information was available. |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | No description of blinding of participants or personnel available in this trial |
Blinding of outcome assessment (detection bias) All outcomes | Low risk | An expert clinician blind to the experiment evaluated the participants. |
Incomplete outcome data (attrition bias) All outcomes | Low risk | Quote: "Dropout rate and reasons were similar for the two groups: a total of three subjects (1 from the experimental and 2 from the control group) dropped out of the study due to a change in their clinical/functional conditions [two subjects dropped out after the T0 evaluation, while one subject, part of the control group, did not complete the follow‐up assessment (T2)]; therefore, 27 out of 30 subjects performed the whole experiment." |
Selective reporting (reporting bias) | Low risk | Judgement comment: statistical and non‐statistical results were presented. |
Other bias | Low risk | Judgement comment: approximately an equal number of participants dropped out; no significant differences at baseline, similar treatment |
De Sèze 2001.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to compare the Bon Saint Côme device with conventional methods of rehabilitation regarding efficacy in restoring postural control in hemiplegic patients | |
Participants |
Baseline characteristics Experimental training
Control group (same amount of additional therapy)
Inclusion criteria: hemiplegia caused by a single supratentorial ischaemic or haemorrhagic stroke that had occurred at least 1 month previously, and static imbalance of the trunk resulting from the stroke. Static imbalance was defined as a score less than or equal to 2 on the sitting and upright equilibrium indexes ... i.e. sitting postural imbalance in the presence of a destabilising force and incomplete shift of weight‐bearing to the hemiplegic leg in upright standing. Exclusion criteria: multiple or infratentorial cerebral lesions, disorders of the locomotor system, a severe visual or auditory deficit, a severe deficit of the executive functions, or a deterioration in the general state of health that might alter postural performances Pretreatment: there were no statistically significant differences between the DG and CG for any of the studied parameters and demographic characteristics. Sample size calculation: not calculated |
|
Interventions |
Intervention characteristics Experimental training
Control group (same amount of additional therapy)
|
|
Outcomes | Trunk function
Walking ability
Activities of daily living
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Unclear risk | Quote: "The patients were distributed consecutively into 2 groups of 10 each by using a randomization table." |
Allocation concealment (selection bias) | Unclear risk | Quote: "The patients were distributed consecutively into 2 groups of 10 each by using a randomization table." |
Blinding of participants and personnel (performance bias) All outcomes | High risk | Judgement comment: only blinding of outcome assessor |
Blinding of outcome assessment (detection bias) All outcomes | Low risk | Quote: "The study was conducted in a blinded fashion: the clinician who evaluated the patients did not know to which group they belonged." |
Incomplete outcome data (attrition bias) All outcomes | Low risk | Quote: "All the patients completed the study and none had adverse effects." |
Selective reporting (reporting bias) | Low risk | Judgement comment: significant and insignificant results were presented. |
Other bias | Low risk | No other potential sources of bias found |
Dubey 2018.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to examine the effects of pelvic stability training, that is, the dynamic co‐activity and strengthening of lower trunk and proximal hip muscles on trunk and lower extremity movement control, hip muscles strength, walking speed and daily functioning in patients with stroke | |
Participants |
Baseline characteristics Experimental training
Control group (same amount of additional therapy)
Inclusion criteria: patients with first episode of either haemorrhagic or ischaemic stroke, ability to understand simple verbal commands, standing ability with or without manual assistance/mobility aids, Brunnstrom stage beyond 3 for lower limb motor recovery were recruited in the study. Exclusion criteria: any other neurological and musculoskeletal dysfunction such as cerebellar lesion, perceptual dysfunction and any history of lower limb or pelvic fractures in the previous 6 months that might potentially affect their performance of balance and walking Pretreatment: at baseline, the demographic characteristics and outcome variables were similar except FMA‐LE (P = 0.008) and TIS 2.0 (P = 0.001) Sample size calculation: not calculated |
|
Interventions |
Intervention characteristics Experimental training
Control group (same amount of additional therapy)
|
|
Outcomes | Leg function
Walking ability
Trunk function
Activities of daily living
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Unclear risk | Blocked randomisation method but no details were given for the size of the blocks |
Allocation concealment (selection bias) | Low risk | Quote: "They were then assigned into either the experimental group (pelvic stability training) or control group (standard physiotherapy) through the block randomization method with concealed allocation using opaque sealed envelopes." |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | No description available in this trial |
Blinding of outcome assessment (detection bias) All outcomes | Low risk | Quote: "daily living post stroke ... These outcomes were collected by an independent assessor who was involved in conducting neither the study intervention nor the randomization process. Statistical Analysis Data was analyzed". |
Incomplete outcome data (attrition bias) All outcomes | High risk | Judgement comment: 4 dropouts in each group; reasons were not described in the study. |
Selective reporting (reporting bias) | Low risk | Trial registration available; no suggestion of reporting bias |
Other bias | Low risk | No other potential sources of bias found |
El‐Nashar 2019.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: the hypothesis of this study was that the core‐stability exercises had an effect on the upper limb function and trunk balance in chronic stroke patients | |
Participants |
Baseline characteristics Experimental training
Control group (same amount of additional therapy)
Inclusion criteria: patients with spasticity on the Modified Ashworth Scale between grade (+ 1 and 2), the duration of illness was more than 6 months, and age ranged between 45 and 60 years old. The affected upper limb had a moderate motor impairment. The scores of upper limb motor performance ranged from (19–40) according to Fugl‐Meyer scale for the section of upper limb and hand Exclusion criteria: patients with balance disturbance due to neurological disorders other than stroke (example: Parkinson’s disease, inner ear, vestibular, or cerebellar dysfunctions), with musculoskeletal disorders such frozen shoulder or degenerative diseases affecting the posture and motor performance as ankylosing spondylitis, with communication problems, and those with a history of previous stroke or other neurologic diseases or disorders. Patients with pain, limited motion, or weakness in the non‐paretic lower extremity that affect performance of daily activities, those with uncontrolled hypertension or symptomatic cardiac failure or unstable angina, and patients with respiratory disorders or conditions that may influence the posture of the skeletal system of the back (example: asthma). The patients with pain in non‐paretic lower limb were excluded from our study because some exercises like bridging and quadruped involve weightbearing on both lower limbs which hampers the performance of the exercises. Pretreatment: no significant group differences Sample size calculation: not calculated |
|
Interventions |
Intervention characteristics Experimental training
Control group (same amount of additional therapy)
|
|
Outcomes | Arm‐hand activity
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Unclear risk | Quote: "Study participants were randomly allocated to either control group (group A) or study group (group B) by means of a random computer‐generated list specific to each center." Judgement comment: random allocation using a computer program. However, not many details about the computer program were provided. |
Allocation concealment (selection bias) | Low risk | Quote: "The method of allocation was concealed in sequentially numbered, sealed envelopes." |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | Judgement comment: not reported |
Blinding of outcome assessment (detection bias) All outcomes | Unclear risk | Judgement comment: not reported |
Incomplete outcome data (attrition bias) All outcomes | High risk | Judgement comment: the dropout rate was high (5/20 for the experimental group, 7/22 for the control group). |
Selective reporting (reporting bias) | High risk | Judgement comment: no registration, no standard deviation reported |
Other bias | Unclear risk | / |
Fujino 2016.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to examine the effects of lateral sitting training on a tilting platform on trunk functions in persons with acute stroke | |
Participants |
Baseline characteristics Experimental training
Control group (same amount of additional therapy)
Inclusion criteria: participants had to meet the following criteria: (1) over 20 years old; (2) no past history of stroke; (3) supratentorial lesion of the brain; (4) stable neurological symptoms and general condition; (5) ability to sit without support; (6) the trunk function evaluation (described below) score was not maximal at the start of study; (7) no dementia or psychiatric disorder; (8) ability to understand instructions; (9) no orthopaedic problem that would interfere with the ability to perform lateral sitting training; and (10) able to provide informed consent Excluded criteria: not reported Pretreatment: no significant differences were observed between the experimental and control groups. Sample size calculation: to determine the power of the main effects and the interaction, a post hoc power calculation was performed using G*Power3 (Heinrich Heine University, Düsseldorf, Germany). The power (1{b) was calculated from the number of samples in the study (n = 530), the effect size (f = 50.4) according to the criteria of Cohen, and the significance level (P = 0.05) |
|
Interventions |
Intervention characteristics Experimental training
Control group (same amount of additional therapy)
|
|
Outcomes | Trunk function
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Unclear risk | Block randomisation; no details on the size of the blocks |
Allocation concealment (selection bias) | Low risk | Quote: "control group by block randomization. The method of allocation was concealed in sequentially numbered, sealed, opaque envelopes. Randomization was done ..." |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | No blinding |
Blinding of outcome assessment (detection bias) All outcomes | Low risk | Third author (KF) undertaking the assessment of the outcome measurements did not know which group the patients were in. |
Incomplete outcome data (attrition bias) All outcomes | Low risk | Judgement comment: no dropouts in the intervention phase |
Selective reporting (reporting bias) | Low risk | Registration available (Clinical Trial Registration Number UMIN000015948) |
Other bias | Low risk | No other potential sources of bias found |
Fukata 2019.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to clarify the effects of repetitive diagonally aligned sitting training in this phase | |
Participants |
Baseline characteristics Experimental training
Control group (same amount of additional therapy)
Inclusion criteria: (1) first stroke; (2) < 60 days from stroke onset; (3) > 20 years old; (4) sitting quietly subscore of function in sitting test (FIST) of (i) physical assistance needed to maintain sitting, (ii) unable to maintain sitting without using upper extremities for support or assistance, or (iii) able to sit independently but may need verbal cues or excessive time points; (5) unable to perform static standing independently without use of the upper limbs or a leg brace; (6) stable neurological symptoms and general condition; (7) no history of orthopaedic disease or neurological disorder (Parkinson’s disease or syndrome, spinocerebellar degeneration, or multiple sclerosis); (8) no dementia or psychiatric disorder; and (9) able to understand instructions Exclusion criteria: not reported Pretreatment: no significant differences at baseline Sample size calculation: only post hoc power calculation |
|
Interventions |
Intervention characteristics Experimental training
Control group (same amount of additional therapy)
|
|
Outcomes | Trunk Control Test
Functional Independence Measure ‐ cognitive
Trunk function
Activities of daily living
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Unclear risk | Quote: "Patients who provided consent were allocated to the experimental or control groups through block randomisation." |
Allocation concealment (selection bias) | Low risk | Quote: "Randomisation codes were concealed in sequentially numbered, sealed, opaque envelopes. Group allocation was performed by therapists who were not involved in the interventions or assessments." |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | No description available in this trial |
Blinding of outcome assessment (detection bias) All outcomes | Low risk | Quote: "The trial assessor was blinded to group allocation." |
Incomplete outcome data (attrition bias) All outcomes | Unclear risk | No registration available; not enough details of dropouts |
Selective reporting (reporting bias) | Low risk | Presenting significant and insignificant results |
Other bias | Low risk | No other potential sources of bias found |
Haruyama 2017.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to investigate the effectiveness of core‐stability training in improving trunk function, standing balance, and mobility among patients showing hemiplegia after stroke | |
Participants |
Baseline characteristics Experimental training
Control group (same amount of additional therapy)
Inclusion criteria: a history of first stroke, definite diagnosis of stroke based on computed tomography and/or magnetic resonance imaging, a supratentorial and hemispheric lesion, and more than 1 month and less than 6 months since onset Exclusion criteria: age 80 years or more, inability to keep a sitting position for 30 seconds, communication problems, comorbidities affecting motor performance such as orthopaedic and neurological disorders that could influence postural control, maximum score (score = 23) for trunk performance as assessed by the TIS at the start of the study, or lack of provision of consent to participate Pretreatment: we performed interim analysis as soon as the sample size reached the prescribed number based on the adaptive sequential design, confirming sufficient power to identify significant differences in primary outcome measures. However, differences at baseline were observed in some secondary outcomes and recruitment was therefore continued. When baseline equalisation was confirmed on continual interim analysis at the inclusion of 32 participants, recruitment to the study was ended. Sample size calculation: the number of patients required for this study was calculated a priori to ensure sufficient statistical power. Power estimates were based on a prior study investigating the effect of improvements in TIS. This revealed that a sample size of 28 patients would be necessary to achieve an 80% chance (effect size = 0.39, α = 0.05, power = 0.80). |
|
Interventions |
Intervention characteristics Experimental training
Control group (same amount of additional therapy)
|
|
Outcomes | Trunk function
Standing balance
Walking ability
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Low risk | Quote: "To allocate patients to one of these groups, occupational therapists who were blinded to the research performed assignments based on a computer‐generated random number." Quote: "To exclude the influence of effects due to differences in trunk function at baseline, we adopted a permuted‐block method combined with stratified randomization using the total TIS score. The block size was 2." Quote: "Total TIS score was stratified to ≥ 14 or < 14, based on the median score reported for stroke patients." |
Allocation concealment (selection bias) | Low risk | Judgement comment: to allocate patients to one of these groups, occupational therapists who were blinded to the research performed assignments based on a computer‐generated random number. |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | Not described if personnel and participants were blinded in this trial |
Blinding of outcome assessment (detection bias) All outcomes | Low risk | Quote: "This study was designed as an assessor‐blinded randomized controlled trial." |
Incomplete outcome data (attrition bias) All outcomes | Low risk | Two dropouts in the control intervention of total sample size of 33 participants |
Selective reporting (reporting bias) | Low risk | Judgement comment: no selective outcome reporting according to the clinical trial registration |
Other bias | Low risk | No other potential sources of bias found |
Jung 2014.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to investigate the effects of weight‐shift training on an unstable surface in sitting position on trunk control, proprioception, and dynamic balance during gait in patients with chronic stroke | |
Participants |
Baseline characteristics Experimental training
Control group (same amount of additional therapy)
Inclusion criteria: those who were diagnosed with first onset of unilateral hemisphere stroke more than six months ago, those who had no neglect of paretic limbs, could sit independently for 30 seconds on a stable surface, were medically stable, had no peripheral neuritis, had no musculoskeletal problems such as low back pain or arthritis affecting motor performance, and were able to understand and follow simple verbal instructions Excluded criteria: none reported Pretreatment: no significant difference was found in general characteristics and pre‐test scores between the WST and control groups before treatment. Sample size calculation: the total sample size was 18, which was calculated to maintain alpha error probability (0.05), power (0.95), and effect size (1.65) in difference between two independent means. |
|
Interventions |
Intervention characteristics Experimental training
Control group (same amount of additional therapy)
|
|
Outcomes | Walking ability
Trunk function
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Unclear risk | Quote: "by randomly selecting from a sealed envelope for allocation" |
Allocation concealment (selection bias) | Low risk | Judgement comment: randomly selected from a sealed envelope for allocation |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | Not described by the study authors |
Blinding of outcome assessment (detection bias) All outcomes | Low risk | Quote: "This study was observer‐blinded". |
Incomplete outcome data (attrition bias) All outcomes | Low risk | Judgement comment: 5% dropout and the reason for the dropout was described. |
Selective reporting (reporting bias) | Low risk | Judgement comment: no study registration was available but both significant and insignificant results were shown. |
Other bias | Low risk | No other potential sources of bias found |
Jung 2016a.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Why: this study analysed the effects of weight‐shifting exercise (WSE) on an unstable surface combined with TENS, applied to the ES and EO muscles, on trunk control and trunk muscle activity | |
Participants |
Baseline characteristics Experimental training (electrostimulation)
Experimental group (weight‐shift training)
Control group (same amount of additional therapy)
Inclusion criteria: diagnosed with first onset of unilateral hemisphere stroke, able to sit independently for 30 seconds on a stable surface, medically stable, no unilateral neglect as indicated by star cancellation test scores over 47, no severe sensory deficits in the pinprick test, no musculoskeletal problems such as low back pain or arthritis affecting motor performance and able to understand and follow simple verbal instructions Exclusion criteria: none reported Pretreatment: no significant group differences at baseline Sample size calculation: none |
|
Interventions |
Intervention characteristics Experimental training (electrostimulation)
Experimental group (weight‐shift training)
Control group (same amount of additional therapy)
|
|
Outcomes | Trunk function
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Unclear risk | Quote: "randomly" |
Allocation concealment (selection bias) | Unclear risk | Quote: "randomly assigned to the three groups by selection from a sealed envelope for allocation." Judgement comment: not described if the sealed envelopes were opaque envelopes. |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | Judgement comment: not described in this trial |
Blinding of outcome assessment (detection bias) All outcomes | Unclear risk | Not clearly described if assessor was blinded |
Incomplete outcome data (attrition bias) All outcomes | Unclear risk | Not described with sufficient details by the study authors |
Selective reporting (reporting bias) | Low risk | Judgement comment: no study registration available. There were both significant and insignificant differences between the experimental groups and control group. |
Other bias | Low risk | No other potential sources of bias found |
Jung 2016b.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to investigate the effects of trunk exercise on an unstable surface on trunk muscle activation, postural control, and gait speed in stroke patients | |
Participants |
Baseline characteristics Experimental training
Control group (same amount of additional therapy)
Inclusion criteria: diagnosed with the first onset of unilateral hemispheric stroke, had no neglect of paretic limbs, could sit independently for 30 s on a stable surface, were medically stable, had no peripheral neuritis, had no musculoskeletal problems such as low back pain or arthritis affecting motor performance, and could understand and follow simple verbal instructions were included in the study. Exclusion criteria: none Pretreatment: no significant difference was found in the general characteristics and pretest scores between the experimental and control groups at baseline. Sample size calculation: none |
|
Interventions |
Intervention characteristics Experimental training
Control group (same amount of additional therapy)
|
|
Outcomes | Trunk function
Walking ability
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Unclear risk | Quote: "this study was randomly distributed into experimental (n = 12) and control groups (n = 12)." |
Allocation concealment (selection bias) | Unclear risk | Not clearly described |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | Not clearly described in manuscript |
Blinding of outcome assessment (detection bias) All outcomes | Unclear risk | Not clearly described in manuscript |
Incomplete outcome data (attrition bias) All outcomes | Unclear risk | Not clearly described in manuscript |
Selective reporting (reporting bias) | Unclear risk | Not clearly described in manuscript; no registration available |
Other bias | Unclear risk | Not clearly described in manuscript ‐ permitting judgement of 'low risk' or 'high risk' was not possible. |
Jung 2017.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to verify these effects in stroke patients by educating them in the precise exercise methods for isolated transversus abdominis contraction using real‐time ultrasound imaging and applying audiovisual biofeedback‐based trunk stabilisation training using a pressure biofeedback unit | |
Participants |
Baseline characteristics Experimental training
Control group (same amount of additional therapy)
Inclusion criteria: hemiplegic patients who had been diagnosed with stroke at least 6 months ago; patients who had experienced only 1 stroke; patients who scored at least 24 points on the MMSE; patients capable of unassisted sitting for at least 10 minutes; patients capable of gait for a distance of at least 10 m independently, with or without assistive tools; and patients with a Brunnstrom motor recovery stage of at least 4 Exclusion criteria: patients participating in another experiment that could affect this study; patients with visual or auditory abnormalities such as vestibular disease, cerebellar disease, unilateral neglect, or apraxia; patients with brain abnormalities outside of the stroke region such as the cerebellum or brainstem;patients with a surgical condition such as a lower limb fracture or peripheral nerve damage; patients with severe renal, musculoskeletal, or cardiovascular disease that would impair training; and patients with visual disability, loss of visual field, or auditory disability Pretreatment: no significant differences in general characteristics and dependent variables were observed between the experimental and control group. Sample size calculation: to determine the sample size, the G‐Power 3.19 software was used. To calculate the sample size,the probability of alpha error and power were set at 0.05 and 0.8, respectively. In addition, the effect size was set at 0.92, based on the trunk ability results in a prior pilot test. Therefore, a sample size of 20 patients per group was necessary. By estimating a dropout rate of about 15%, 23 participants per group needed to be recruited for randomisation. |
|
Interventions |
Intervention characteristics Experimental training
Control group (same amount of additional therapy)
|
|
Outcomes | Trunk function
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Low risk | Random allocation software was used to minimise selection bias. |
Allocation concealment (selection bias) | Unclear risk | Not clearly described in manuscript; we were not able to conduct the randomisation with the provided information. |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | Not described by the study authors |
Blinding of outcome assessment (detection bias) All outcomes | Low risk | Quote: "The tests were performed by the trained assessors, and the assessors were blinded to the subjects’ groups." |
Incomplete outcome data (attrition bias) All outcomes | Low risk | Quote: "subjects who became unable to participate in the program during the study due to a change in medical status, or who were unable to receive the post‐training tests, were excluded from the final analysis. In the experimental group, statistical analysis was conducted on 21 patients, excluding 2 who were unable to participate in post‐training tests, and in the control group, the final analysis was conducted on 22 patients, excluding 1 patient who was unable to participate in post‐training tests (Figure 1)." Judgement comment: two dropouts in the experimental group, one in the control group |
Selective reporting (reporting bias) | Low risk | Judgement comment: examiners presented significant and insignificant results. No study registration available |
Other bias | Low risk | No other potential sources of bias found |
Karthikbabu 2011.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to determine whether trunk exercises performed on a physio ball are more beneficial than those performed on a plinth in patients with acute stroke | |
Participants |
Baseline characteristics Experimental training
Control group (same amount of additional therapy)
Inclusion criteria: acute stroke patients who were medically stable and able to understand and follow simple verbal instructions were screened for eligibility for the study. Stroke diagnosis was confirmed by the neurologists on the basis of clinical examination, CT and MRI. Patients (mean post‐stroke duration 12 (95% confidence interval (CI) 2 to 34) days) who had the first onset of unilateral supratentorial lesion associated with ischaemic or haemorrhagic stroke and could sit independently for 30 seconds on a stable surface, were included in the study. Exclusion criteria: patients were excluded if they had a neurological disease affecting balance other than a stroke, such as for instance a cerebellar disease, Parkinson’s disease and/or a vestibular lesion; musculoskeletal disorders such as low backache, arthritis or degenerative diseases of the lower limbs affecting motor performance. Pretreatment: no significant differences between the groups were found for the demographic variables, stroke‐related parameters and outcome measures at the pre‐intervention level. Sample size calculation: none |
|
Interventions |
Intervention characteristics Experimental training
Control group (same amount of additional therapy)
|
|
Outcomes | Brunel Balance Assessment ‐ stepping
Brunel Balance Assessment ‐ standing
Trunk function
Standing balance
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Unclear risk | Quote: "block randomization" Judgement comment: it was not clear how large the randomisation blocks were. |
Allocation concealment (selection bias) | Low risk | Quote: "The method of allocation was concealed in sequentially numbered, sealed, opaque envelopes. An independent observer who performed the randomization procedure was not involved in conducting interventions and collecting the outcome measures." |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | Not described by the study authors |
Blinding of outcome assessment (detection bias) All outcomes | Low risk | Quote: "An independent blinded observer who measured both the outcomes was not aware of the allocation of treatment groups." |
Incomplete outcome data (attrition bias) All outcomes | Low risk | Quote: "with no patient dropout in the intervention period." |
Selective reporting (reporting bias) | Low risk | Judgement comment: no trial registration available; both significant and non‐significant results were shown. |
Other bias | Low risk | No other potential sources of bias found |
Karthikbabu 2018a.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: the primary objective of the current study was to examine the effects of plinth and Swiss ball‐based trunk exercise regimens to standard physiotherapy on trunk control, that is, dynamic sitting balance and co‐ordination, balance capacity, mobility, physical function, and community reintegration in people with chronic stroke. The secondary objective was to compare the trunk regimens with each other in chronic stroke. | |
Participants |
Baseline characteristics Experimental training (selective‐trunk training)
Experimental training (unstable‐surface training)
Control group (same amount of additional therapy)
Inclusion criteria: people with unilateral supratentorial stroke lesion aged between 30 and 75 years; first onset of ischaemic or haemorrhagic stroke; ability to comprehend and to follow verbal instructions; Brunnstrom recovery stage beyond 3 for lower extremity; patients with poor trunk performance (TIS < 21); and independent walking ability to cross 10 m distance with or without a mobility aid Exclusion criteria: The study exclusion criteria were as follows: patients with multiple stroke; pusher syndrome; neurologic disorders other than stroke that could potentially affect balance and ambulation;and those who could not tolerate treatment positions and exercise intensity because of diagnosed musculoskeletal dysfunction of lower extremity or trunk. Pretreatment: baseline demographics and characteristics of study participants were similar at baseline. Sample size calculation: none |
|
Interventions |
Intervention characteristics Experimental training (selective‐trunk training)
Experimental training (unstable‐surface training)
Control group (same amount of additional therapy)
|
|
Outcomes | Tinetti balance
Tinetti gait
Tinetti total
Trunk function
Quality of life
Walking ability
Standing balance
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Unclear risk | Quote: "The included participants were then randomly assigned to receive any of the 3 interventions by block randomization." Judgement comment: size of the block was unknown so a future randomisation could not be done in the exact same way. |
Allocation concealment (selection bias) | Low risk | Quote: "The process of allocation was concealed in sealed envelopes numbered in sequences." |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | Not described if personnel or participants were blinded |
Blinding of outcome assessment (detection bias) All outcomes | Unclear risk | Not described if assessor was blinded or not |
Incomplete outcome data (attrition bias) All outcomes | High risk | Judgement comment: there was a high dropout percentage; more than 16% per group stopped the intervention. The reasons for dropout were well described and searched for the different groups. |
Selective reporting (reporting bias) | High risk | Judgement comment: trial registration was available; Activity Balance Confidence (ABC) scale was not reported in this article. |
Other bias | Low risk | No other potential sources of bias found |
Karthikbabu 2021.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to examine the effects of core‐stability exercises on stable and unstable support surfaces on trunk control, strength, standing weight‐bearing symmetry, and balance confidence in people with chronic stroke. The secondary objective was to investigate whether core‐stability exercises on an unstable support surface would be better than a stable support surface in patients with chronic stroke. We hypothesised that core‐stability exercises on stable and unstable support surfaces are superior to standard physiotherapy in improving the measures mentioned above. | |
Participants |
Baseline characteristics Experimental training (core stability)
Experimental training (unstable‐surface training)
Control group (same amount of additional therapy)
Inclusion criteria: first onset of cortical and subcortical stroke, a minimum of 6 months post‐stroke duration, haemorrhagic or ischaemic vascular lesion of middle cerebral artery territory, both genders, individuals aged 30–75 years, ability to follow simple oral instructions, scoring < 20 points out of 23 on TIS, and independent walking capacity for a distance of 10 metres with or without using walking aids Exclusion criteria: infratentorial stroke lesions, severe visual impairment, Pusher syndrome, and conditions other than stroke resulting in balance and walking issues Pretreatment: continuous and nominal variables of the participants at baseline were similar, and there was no statistical significance (P > 0.05) between the groups. Sample size calculation: mean change of four points in the TIS or five‐pound gain (effect size of 0.5) in trunk muscle strength following core‐stability training was a clinically relevant change in people with chronic stroke. With a power rate of 80% (1‐β) and a significance level of 5% (α = 0.05), this study needed 28 patients in each group, a total of 84 individuals considering 10% dropout at follow‐up and uncertainty in the power calculation. |
|
Interventions |
Intervention Characteristics Experimental training (core stability)
Experimental training (unstable trunk training)
Control group (same amount of additional therapy)
|
|
Outcomes | Trunk function
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Low risk | Quote: "Following eligibility screening, the patients with stroke were allocated to one of the three intervention arms. Of the 16 blocks, each block contained six randomly ordered intervention assignments (two each for stable support, unstable support core‐stability regimens, and control group respectively)." |
Allocation concealment (selection bias) | Low risk | Quote: "The order of allocation to treatment groups was concealed in sealed opaque envelopes. The observer unsealed envelopes in front of the patient who met the study eligibility and was assigned the respective exercise training." |
Blinding of participants and personnel (performance bias) All outcomes | High risk | Quote: "We had a consensus meeting among the therapists and cleared the doubts and discrepancies." |
Blinding of outcome assessment (detection bias) All outcomes | Unclear risk | Judgement comment: it was indicated that the assessor was blind but more details were not available about the nature of the blinding. |
Incomplete outcome data (attrition bias) All outcomes | Low risk | Judgement comment: in each group, 1 person did not do the post‐measurement moments. This corresponds to 3% per group. The reasons for dropouts were also described. |
Selective reporting (reporting bias) | High risk | Judgement comment: study registration was available. Some outcome measures reported in the study registrations were not reported in the manuscript (Reintegration to Normal Living Index (RNLI), Stroke Impact Scale‐16 (SIS‐16), Performance Oriented Mobility Assessment). |
Other bias | Low risk | — |
Kilinç 2016.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to investigate the effects of the individually designed Bobath‐based trunk training on trunk control, functional skills, walking, and balance in stroke patients. In this study, the main aim was to eliminate individual trunk impairments affecting various functions performed by patients. | |
Participants |
Baseline characteristics Experimental training
Control group (same amount of additional therapy)
Inclusion criteria: patients in the subacute and chronic stages associated with stroke hemiparesis (time since stroke onset < 6 months), patients with an affected trunk (those who did not have full points in the TIS), adults 18 years or older, patients who could sit and walk independently (or those who used an aid for walking) Exclusion criteria: (1) patients with recurrent strokes; (2) patients with communication problems; (3) patients with orthopaedic or neurological disorders (other than strokes) that might affect their motor performance Pretreatment: at the beginning of the study, the demographic and clinical characteristics of the patients (Berg Balance Test, TUG, 10 m walking test, FR, TIS, and STREAM) were similar in the two groups (P > 0.05) Sample size calculation: not calculated |
|
Interventions |
Intervention characteristics Experimental training
Control group (same amount of additional therapy)
|
|
Outcomes | Get up and Go
Trunk function
Standing balance
Walking ability
Leg function
Arm‐hand activity
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Low risk | Quote: "After the initial assessment, patients were divided randomly into two groups using a random numbers table. One of the authors (EA) made the randomization by using a computer‐generated random number. Blocks were numbered, and then a random‐number generator program was used to select numbers that established the sequence in which blocks were allocated to study or the control group". |
Allocation concealment (selection bias) | Unclear risk | Not described by the study authors |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | Not blinded |
Blinding of outcome assessment (detection bias) All outcomes | Low risk | Assessor‐blinded randomised controlled trial |
Incomplete outcome data (attrition bias) All outcomes | High risk | The experimental group had a high percentage (2) of dropouts compared to the control population (1). |
Selective reporting (reporting bias) | Low risk | No trial registration available; both significant and non‐significant results were shown. |
Other bias | Low risk | No other potential sources of bias found |
Kim 2011.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to investigate the effects of trunk stabilising exercises using the stabilising reversal (SR) and rhythmic stabilisation (RS) of PNF on the FRT and lower extremity muscle activity of stroke patients | |
Participants |
Baseline characteristics Experimental training
Control group (same amount of additional therapy)
Inclusion criteria: patients diagnosed with stroke who could walk by themselves without being helped by others or could walk at least 10 m using a walking aid, scored at least 24 points in the MMSE‐K, had spasticity of grade 2 or lower in the affected lower extremity as evaluated by the Modified Ashworth Scale, had no orthopaedic problem that could affect the treatment, and could receive training for 30 minutes or longer Exclusion criteria: not reported Pretreatment: no significant difference between the experimental group and the control group before the intervention was found (P > 0.05), but significant differences after the intervention were shown (P < 0.05). Sample size calculation: not calculated |
|
Interventions |
Intervention characteristics Experimental training
Control group (same amount of additional therapy)
|
|
Outcomes | Standing balance
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Unclear risk | Quote: "randomly assigned to a trunk stability exercise using PNF group" Judgement comment: too vague |
Allocation concealment (selection bias) | Unclear risk | Judgement comment: no explanation for the allocation concealment |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | Not described if participants or personnel were blinded |
Blinding of outcome assessment (detection bias) All outcomes | Unclear risk | Not described if assessor was blinded |
Incomplete outcome data (attrition bias) All outcomes | High risk | Study authors did not report if there were any dropouts or the possible reasons |
Selective reporting (reporting bias) | Low risk | Judgement comment: no trial registration available; both significant and non‐significant results were shown. |
Other bias | Unclear risk | Not clear if any other forms of biases were reduced |
Ko 2016.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to investigate the additive effects of core muscle strengthening and trunk neuromuscular electrical stimulation on trunk balance in stroke patients | |
Participants |
Baseline characteristics Experimental training (core‐stability training + same amount of additional therapy)
Experimental training (electrostimulation + same amount of additional therapy 2)
Experimental training (core‐stability training + electrostimulation)
Inclusion criteria: patients with a first stroke of hemiparesis within 1 month of onset, and who could not maintain static sitting balance for more than 5 minutes were enrolled. Exclusion criteria: 1) people who could not communicate with therapists as a consequence of severe aphasia or cognitive impairment, 2) people who were paralysed on both sides, 3) people who were suffering from other neurological diseases, 4) people with neglect, 5) people with vestibular organ diseases, 6) people with severe internal diseases or back pain, and 7) people with implanted pacemakers or defibrillators Pretreatment: patient baseline characteristics were well balanced among the 3 groups. Sample size calculation: not calculated |
|
Interventions |
Intervention characteristics Experimental training (core‐stability training + same amount of additional therapy)
Experimental training (electrostimulation + same amount of additional therapy 2)
Experimental training (core‐stability training + electrostimulation)
|
|
Outcomes | Standing balance
Trunk function
Activities of daily living
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Unclear risk | Quote: "On the day of recruitment, patients were randomly assigned to 1 of 3 groups using a random table: the CMS group (n = 12), the tNMES group (n = 11), or the combination (CMS and tNMES) group (n = 11)." |
Allocation concealment (selection bias) | Unclear risk | Allocation was not clearly described. |
Blinding of participants and personnel (performance bias) All outcomes | High risk | Quote: "all participating patients were aware of the treatment allocation in the study design." |
Blinding of outcome assessment (detection bias) All outcomes | Low risk | Quote: "However, the 2 fixed therapists were involved in patient evaluation but not treatment, and 3 investigators who conducted the study, were blinded to the treatment allocation." |
Incomplete outcome data (attrition bias) All outcomes | High risk | Not clear in the details for this trial |
Selective reporting (reporting bias) | Unclear risk | Not clear in the details for this trial |
Other bias | Unclear risk | Not clear if any other forms of biases were reduced to permit 'low risk' or 'high risk' |
Kumar 2011.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to investigate the effect of additional trunk exercises on sitting balance after stroke | |
Participants |
Baseline characteristics Experimental training
Control group (no additional therapy)
Inclusion criteria: 1) first onset of unilateral supratentorial stroke (ischaemic or haemorrhagic) who are stable and referred by physician for rehabilitation, 2) post‐stroke duration less than 1 month duration, 3) MMSE score ≥ 24, 4) patient can able to sit unsupported on a bed with their feet touching the ground for 30 seconds Exclusion criteria: 1) 70 years of age or older, 2) patients who were not able to understand the instructions, 3) patients with non‐stroke‐related sensory or motor impairments which affected their motor performance Pretreatment: there were no statistically significant differences between groups for age, stroke onset, sex, and hemiparetic side. Sample size calculation: not calculated in this study |
|
Interventions |
Intervention characteristics Experimental training
Control group (no additional therapy)
|
|
Outcomes | Trunk function
Standing balance
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Low risk | Quote: "randomized into an experimental or control group by block randomization. 5 blocks made with 4 subjects in each block were made to ensure equal number of participants in both groups." |
Allocation concealment (selection bias) | Unclear risk | Not clearly described if allocation was concealed |
Blinding of participants and personnel (performance bias) All outcomes | High risk | No blinding |
Blinding of outcome assessment (detection bias) All outcomes | Low risk | Quote: "To reduce bias, pre and post outcome measures were collected by the blinded assessor who was blinded to group allocation." |
Incomplete outcome data (attrition bias) All outcomes | High risk | Quote: "with 6 dropouts because of early discharge, recurrent stroke and musculoskeletal complaints," Judgement comment: 6 of the 26 candidates dropped out of the study. It was not clear to which group these participants belonged. |
Selective reporting (reporting bias) | Unclear risk | Judgement comment: no study registration available; only positive results were shown. |
Other bias | Low risk | No other potential sources of bias found |
Lee 2012.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to see if training in the sitting position together with balance training, based on dual motor task training at the same time, is effective at enhancing trunk control ability and dynamic balance ability in sitting position | |
Participants |
Baseline characteristics Experimental training (unstable‐surface training)
Control group
Overall
Inclusion criteria: more than a year from stroke onset, a score of more than 24 out of 30 points in the MMSE‐K, and ability to sit independently on an unstable disc for longer than 30 seconds Excluded criteria: all participants provided their written informed consent prior to participation in this study. Pretreatment: there were no differences between the 2 groups in the demographic variables, stroke‐related parameters or the pre‐intervention outcome measures. Sample size calculation: not calculated |
|
Interventions |
Intervention characteristics Experimental training (unstable‐surface training)
Control group
|
|
Outcomes | Trunk impairment scale 1.0
Modified Functional Reach Test‐Anterior reach (cm)
Trunk function
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Unclear risk | Quote: "Subjects were randomly allocated to one of two groups: the dual motor task training group and the control group." Judgement comment: there were no details available that described the randomisation process nor how the allocation remained unpredictable. |
Allocation concealment (selection bias) | Unclear risk | Judgement comment: there were no details available that described the randomisation process nor how the allocation remained unpredictable. |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | Judgement comment: the authors did not describe whether the participants were blinded; they only stated that the intervention occurred in a separate room, away from the control group. |
Blinding of outcome assessment (detection bias) All outcomes | Unclear risk | Quote: "All outcome measures were assessed prior to the start of the intervention and then again after 6 weeks. The outcome measures included trunk control ability, and dynamic balance ability in the sitting position. All tests were performed by a skilled physical therapist who did not participate in the training program." Judgement comment: the authors did not state that the assessor was blind for group allocation. |
Incomplete outcome data (attrition bias) All outcomes | Low risk | Quote: "Two subjects dropped out of the study due to discharge." Judgement comment: the reasons were given in this study and one dropout occurred in each group. |
Selective reporting (reporting bias) | Unclear risk | Judgement comment: all reported outcomes were significant in favour of the experimental group. No study registration was available. |
Other bias | Low risk | No other potential sources of bias found |
Lee 2014a.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to investigate the effectiveness of sling exercise therapy on activating trunk muscles and improving balance ability in stroke patients based on the concept of closed kinetic chain exercises | |
Participants |
Baseline characteristics Experimental training
Control group (same amount of additional therapy)
Inclusion criteria: study participants were selected if they met the following criteria: more than 24 months since diagnosis of stroke with chronic hemiplegia, MMSE‐K score higher than 21, independent walking, ability to communicate, and no neurologic disease besides stroke Exclusion criteria: not reported Pretreatment: no significant difference was observed in trunk muscle activity, BBS, FICSIT‐4, TUG test, or BioRescue before intervention between the 2 groups. Sample size calculation: not calculated |
|
Interventions |
Intervention characteristics Experimental training
Control group (same amount of additional therapy)
|
|
Outcomes | Walking ability
Standing balance
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Unclear risk | Quote: "After the 20 participants passed the pretest, they were randomly allocated to either the SET group or the regular exercise (i.e. control) group (Table 1)." Judgement comment: no detailed description was available. |
Allocation concealment (selection bias) | Unclear risk | Judgement comment: they were randomly allocated to the groups. No detailed description was available to prevent forseeing the allocation. |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | Judgement comment: not described in this study |
Blinding of outcome assessment (detection bias) All outcomes | Unclear risk | Judgement comment: not described in this study |
Incomplete outcome data (attrition bias) All outcomes | Unclear risk | No details available in this study |
Selective reporting (reporting bias) | High risk | No study registration was available and all outcomes were reported as significant difference in favour of the experimental group. |
Other bias | Unclear risk | Not clear if any other forms of biases were reduced to permit 'low risk' or 'high risk' |
Lee 2014b.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to investigate the effect of AR‐based postural control training on dynamic balance, spatio‐temporal variables of gait, and functional gait ability of stroke patients | |
Participants |
Baseline characteristics Experimental training
Control group (no additional therapy)
Inclusion criteria: a diagnosis of stroke for at least 6 months (chronic stroke), not taking medication that can affect balance, MMSE score < 24, no pain or disability associated with acute musculoskeletal conditions, sitting to side lying with moderate assistance, sitting for longer than 10 seconds without support, and standing without support for 1 minute Exclusion criteria: Pusher syndrome. All participants provided written informed consent prior to enrolment in the study. Pretreatment: no significant differences between groups at baseline Sample size calculation: according to a pilot study, the effect size for TUG, Berg Balance Scale, gait velocity, cadence, step length, and stride length was 0.69, 0.58, 0.52, 0.60, 0.57, and 0.53, respectively. This study would thus require 10 patients in each group in order to have 80% power at an alpha of 0.05. |
|
Interventions |
Intervention characteristics Experimental training
Control group (no additional therapy)
|
|
Outcomes | Walking speed (cm/s)
Walking ability
Standing balance
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Unclear risk | Judgement comment: each participant chose a piece of paper with number 1 or 2 written on it from a box containing 22 pieces of paper; there were 11 pieces of paper for each number. Papers with a number 1 indicated the experimental group and those with a number 2 indicated the control group. |
Allocation concealment (selection bias) | High risk | Judgement comment: each participant chose a piece of paper with number 1 or 2 written on it from a box containing 22 pieces of paper; there were 11 pieces of paper for each number. Papers with a number 1 indicated the experimental group and those with a number 2 indicated the control group. |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | Not described if participants or personnel were blinded |
Blinding of outcome assessment (detection bias) All outcomes | Unclear risk | Not described if assessor was blinded |
Incomplete outcome data (attrition bias) All outcomes | Low risk | Judgement comment: 1 dropout in the control group |
Selective reporting (reporting bias) | Low risk | Judgement comment: no study registration available; results contained significant and non significant results. |
Other bias | Low risk | No other potential sources of bias found |
Lee 2016a.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to investigate the effects of a canoe game‐based VR training programme for trunk postural control, balance, and upper limb motor function after stroke. Its secondary aim was to evaluate the usability of the approach. | |
Participants |
Baseline characteristics Experimental training
Control group (no additional therapy)
Inclusion criteria: (1) non‐cerebellar stroke within the previous 6 months; (2) ability to understand and follow simple verbal instructions; (3) MMSE score of ≥ 21‐22); (4) minimum Berg Balance Scale score of 15 (the minimum level deemed safe for balance intervention participation); and (5) ability to walk 10 m independently, with or without an assistance device Exclusion criteria: (1) psychiatric disorder or dementia, (2) apraxia or hemi‐neglect, (3) epilepsy or pacemaker use (as per NintendoWii safety guidelines), (4) severe pain in the hemiplegic shoulder, and (5) a participation rate of < 80% Pretreatment: no significant differences in general characteristics and dependent variables were observed between the experimental and control groups. Sample size calculation: not calculated |
|
Interventions |
Intervention characteristics Experimental training
Control group (no additional therapy)
|
|
Outcomes | Trunk function
Standing balance
Walking ability
Arm‐hand function
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Low risk | Quote: "After the pretest, the participants were randomly allocated to the experimental group (EG, n = 7) or control group (CG, n = 7). The randomization process was performed by using computer‐generated numbers produced by a basic random number generator." |
Allocation concealment (selection bias) | Unclear risk | No details were described. |
Blinding of participants and personnel (performance bias) All outcomes | High risk | No double blinding |
Blinding of outcome assessment (detection bias) All outcomes | Unclear risk | Not described if assessor was blinded during the study |
Incomplete outcome data (attrition bias) All outcomes | High risk | Quote: ". Two participants in the EG and two in the CG dropped out because of early discharge and a participation rate of < 80%. Thus, 5 participants in the experimental and control groups, respectively, completed the study." Judgement comment: the study contained a small sample size (14), of which there were 4 dropouts (a high percentage: 28.5%). The reasons for dropouts were described in this study. |
Selective reporting (reporting bias) | High risk | Judgement comment: P value was not provided. |
Other bias | Low risk | No other potential sources of bias found |
Lee 2017a.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to evaluate the effect of whole‐body vibration therapy on subacute stroke patients who could not gain sitting balance | |
Participants |
Baseline Characteristics Experimental training
Control group (same amount of additional therapy)
Inclusion criteria: medically stable subacute stroke patients within two months of the onset of their stroke who could not maintain their sitting balance independently for 30 s, and who had a static TIS score less than two points Exclusion criteria: patients who had a history of a past cerebrovascular accident, had non‐stroke related sensory or motor impairments, used medication that could interfere with postural controls, or who had contraindications for WBV, such as pregnancy, recent fractures, gallbladder or kidney stones, malignancies, or a cardiac pacemaker, were excluded from the study. Pretreatment: there were no significant differences between the age, gender, type of stroke, affected side, number of days from stroke onset, neglect, incidence of Pusher syndrome, MMSE‐K scores, K‐MBI scores, FAC scores, BBS scores, and TIS scores of the two groups at the baseline. Sample size calculation: to calculate a sample size, a statistical program (G‐power 3.1) was used. Based on a power of 80% and a 2‐tailed level of 0.05, we calculated that the sample size required per group was 13. Assuming a 10% loss to follow‐up, we estimated that the final sample size required was 15 per group, for a total of 30 patients for the study. |
|
Interventions |
Intervention characteristics Experimental training
Control group (same amount of additional therapy)
|
|
Outcomes | Activities of daily living
Walking ability
Standing balance
Trunk function
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Low risk | Quote: "The randomization was achieved through consultation with statistical experts so such that the relationship of the control group was assigned randomly via a simple randomization. The randomization sequence was computer generated by an investigator not involved in recruitment or treatment allocation." |
Allocation concealment (selection bias) | Low risk | Quote: "Allocation was concealed in sequentially numbered, sealed, opaque envelopes and then the participants were randomly assigned to the VG (n = 15) or the CG (n = 15)." |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | Judgement comment: not described in this study |
Blinding of outcome assessment (detection bias) All outcomes | Unclear risk | Quote: "These evaluations were conducted at baseline and immediately after two weeks of therapy. In order to avoid bias in the results, another therapist who did not participate in the therapy and who had no relation to the present study assessed all the results." |
Incomplete outcome data (attrition bias) All outcomes | Low risk | Judgement comment: no dropouts |
Selective reporting (reporting bias) | Low risk | Judgement comment: significant and not significant results were presented. |
Other bias | Unclear risk | Not sure if there were any other types of biases |
Lee 2017b.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to examine the effects of upper extremity task training with the bracing method applied on trunk adjustment ability and balance in stroke patients | |
Participants |
Baseline characteristics Experimental training
Control group (same amount of additional therapy)
Inclusion criteria: non‐traumatic hemiplegic stroke patient, onset of stroke had occurred at least six months earlier, all scored at least 24 on the MMSE‐K. They were able to sit unassisted for five minutes or longer without special equipment. The patients were able to understand and follow the therapist’s directions and had no other neurological problems (vision, hearing, other senses) or orthopaedic damage. Exclusion criteria: not reported Pretreatment: baseline characteristics were given; no between‐groups statistical test was performed. Sample size calculation: not calculated |
|
Interventions |
Intervention characteristics Experimental training
Control group (same amount of additional therapy)
|
|
Outcomes | Trunk function
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Unclear risk | Not described |
Allocation concealment (selection bias) | Unclear risk | Not described |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | Not described |
Blinding of outcome assessment (detection bias) All outcomes | Unclear risk | Not described |
Incomplete outcome data (attrition bias) All outcomes | Unclear risk | Not described |
Selective reporting (reporting bias) | Unclear risk | Judgement comment: non‐significant results were reported. However, the exact P value was not reported in the trial. |
Other bias | Unclear risk | Other types of biases were not described for ruling out. |
Lee 2020a.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to examine the effects of trunk exercises on unstable surfaces on different domains of balance ability for persons in the subacute stage of stroke. It was hypothesised that trunk exercise training on unstable surfaces would significantly improve trunk control and balance. | |
Participants |
Baseline characteristics Experimental training (unstable‐surface training)
Control group
Inclusion criteria: patients with first‐time stroke with onset from one to six months, who were able to sit without support for at least 30 s and follow experimental instructions Exclusion criteria: age over 80 or having musculoskeletal or other neuromuscular conditions that could affect balance. To minimise measurement ceiling effects, those who obtained the maximum score in the TIS (maximal score = 23) were excluded. Pretreatment: between‐group differences were non‐significant. Sample size calculation: not calculated |
|
Interventions |
Intervention characteristics Experimental training (unstable‐surface training)
Control group
|
|
Outcomes | Leg function
Trunk function
Walking ability
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Low risk | Quote: "Randomization was conducted by using a computer randomization program." |
Allocation concealment (selection bias) | Unclear risk | Judgement comment: no details were described. |
Blinding of participants and personnel (performance bias) All outcomes | High risk | Judgement comment: participants and personnel were not blinded. |
Blinding of outcome assessment (detection bias) All outcomes | Low risk | Quote: "This study was an assessor‐blinded randomized controlled trial designed to examine the effect of trunk exercises on unstable surfaces on balance ability in persons with subacute stroke." |
Incomplete outcome data (attrition bias) All outcomes | Low risk | Judgement comment: one dropout in the experimental group, two in the control group. Reasons were provided. |
Selective reporting (reporting bias) | Low risk | Judgement comment: registration was available and there was no selective reporting. |
Other bias | Low risk | No other potential sources of bias found |
Lee 2020b.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to verify the effects of trunk stability exercise using additional maneuvers on measures of muscle thickness, functional mobility and balance in subjects with stroke | |
Participants |
Baseline characteristics Experimental training (abdominal bracing manoeuvre trunk training)
Experimental training (abdominal hollowing trunk training)
Control group
Inclusion criteria: history of first stroke, being able to walk with or without a walking aid independently or under supervision Exclusion criteria: other neurological disorders, severe arthritis, joint replacement surgery and blindness, or lack of provision of consent to participate Pretreatment: there were no significant differences in the baseline values among groups. Sample size calculation: not calculated |
|
Interventions |
Intervention characteristics Experimental training (abdominal bracing manoeuvre trunk training, additional therapy)
Experimental training (abdominal hollowing trunk training, additional therapy)
Control group
|
|
Outcomes | Walking ability
Walking ability
Standing Balance
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Unclear risk | Quote: "They were divided randomly into three groups: the experimental group using abdominal hollowing manoeuvre (AH), the experimental group using bracing manoeuvre (AB), and the control group." Judgement comments: no details were provided about how the randomisation had been sequenced. |
Allocation concealment (selection bias) | Unclear risk | Judgement comment: no details of concealment were described in the manuscript. |
Blinding of participants and personnel (performance bias) All outcomes | High risk | Quote: "Clinical evaluations were performed by a independent assessor who was blinded to group assignment and not involved in treatment." Judgement comments: only the assessor was blinded, not the participants or study personnel. |
Blinding of outcome assessment (detection bias) All outcomes | Low risk | Quote: "Clinical evaluations were performed by an independent assessor who was blinded to group assignment and not involved in treatment." Judgement comments: stated that the assessor was blinded |
Incomplete outcome data (attrition bias) All outcomes | Low risk | Quote: "Thirty stroke patients successfully completed the training sessions." |
Selective reporting (reporting bias) | Low risk | Judgement comment: no registration available. However, both significant and non‐significant results were provided. |
Other bias | Low risk | — |
Lee MM 2018.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to investigate the effects of game‐based VR canoe paddling training, when combined with conventional physical rehabilitation programmes, on postural balance and upper extremity function in 30 patients with subacute stroke | |
Participants |
Baseline characteristics Experimental training
Control group (no additional therapy)
Inclusion criteria: participants were selected if they met the following criteria: subacute stroke within the prior six months; an MMSE score 21; moderate (7–11) to good (12–16) scores on the TIS; and the ability to stand independently for at least 3 minutes without an assistive device. Exclusion criteria: a history of a psychiatric disorder, dementia, apraxia or hemi‐neglect, epilepsy, the presence of a pacemaker, severe pain in the hemiplegic shoulder, ataxia, or any other cerebellar symptoms. Individuals who began the study, but participated in less than 80% of the intervention activities, were also excluded from the study. Pretreatment: there were no significant differences in the general characteristics between the two groups, or dependent variables between the two groups. Sample size calculation: to determine the sample size, the G*Power 3.19 statistical power analysis software program was used. The alpha level and the power were set as 0.05 and 0.8, respectively. According to a prior pilot test, the effective size was set at 0.94, and at least 15 participants were required in each group. |
|
Interventions |
Intervention characteristics Experimental training
Control group (no additional therapy)
|
|
Outcomes | Manual function test‐hand
Arm‐hand function
Trunk function
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Low risk | Quote: "The randomization process was performed using Random Allocation software for parallel group randomized studies". |
Allocation concealment (selection bias) | Unclear risk | Not clear if concealment was allocated |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | Quote: "All the participants in this study signed informed consents after receiving a detailed explanation of the study objectives and requirements." |
Blinding of outcome assessment (detection bias) All outcomes | Low risk | Quote: "assessor‐blinded" |
Incomplete outcome data (attrition bias) All outcomes | Low risk | Quote: "One of the 16 study participants in the experimental group was excluded from the analysis because of a participation rate less than 80%." |
Selective reporting (reporting bias) | Low risk | Judgement comment: no study registration available; P values, significant and non‐significant results were reported. |
Other bias | Low risk | No other potential sources of bias found |
Liu 2020.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to investigate the effectiveness of four‐week sling exercise therapy on balance, the ability to perform activities of daily living, mobility, quality of life and shoulder pain after stroke | |
Participants |
Baseline characteristics Experimental training
Control group (same amount of additional therapy)
Inclusion criteria: 1) diagnosed as having initial cerebral hemiplegia by MRI or CT; 2) age 20–70 years old, course of disease within 6 months, with stable vital signs; 3) no balance disorders before this stroke Exclusion criteria: 1) serious viscera dysfunction, such as cardiovascular system, lung, liver and kidney; 2) serious joint diseases; 3) history of mental illness or severe cognitive impairment, audiovisual understanding obstacle, unable to cooperate with instructions; and 4) infection and ulcers on skin Pretreatment: no significant differences were found between the two groups at baseline (P > 0.05). Sample size calculation: considering balance disorder is the most common dysfunction after stroke, we calculated the sample size based on the score of the Berg Balance Scale. According to the results of the preliminary experiment, the score of the Berg Balance Scale was increased by 18.1 points in the control group and 22.2 points in the SET group, and the standard deviation of the combination was 4.06. Considering the number of cases that dropped out, the number of cases in each group increased by 20%. Finally it was calculated that 25 cases in each group were required for this project, a total of 50 cases. |
|
Interventions |
Intervention characteristics Experimental training
Control group (same amount of additional therapy)
|
|
Outcomes | SF‐36 bodily pain
SF‐36 general health
SF‐36 vitality
SF‐36 social functioning
SF‐36 mental health
Berg Balance Scale
Barthel Index
Fugl‐Meyer Assessment‐upper extremity
Fugl‐Meyer Assessment‐lower extremity
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Low risk | Quote: "After signing an informed consent form, patients were coded according to their order of entry into the experiment. Each code was matched to a random number generated from a random number table." |
Allocation concealment (selection bias) | Unclear risk | Concealment of allocation was not described with enough details. |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | No blinding of both personnel and participants |
Blinding of outcome assessment (detection bias) All outcomes | Low risk | Quote: "assessor‐blinded randomized" |
Incomplete outcome data (attrition bias) All outcomes | Low risk | Judgement comment: no dropouts |
Selective reporting (reporting bias) | High risk | Judgement comment: trial registration was available. Timed up and go and Modified Ashworth Score were included in the registration but were not reported in this paper. |
Other bias | Low risk | No other potential sources of bias found |
Marzouk 2019.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to determine the effect of pelvic control exercises on pelvic asymmetry and its consequence on gait performance in patients with stroke | |
Participants |
Baseline characteristics Experimental training (selective‐trunk training)
Control group (only standard care)
Inclusion criteria: the patients were diagnosed by a neurologist and the diagnosis was confirmed by CT scan and/or MRI. Patients' age ranged from 45 to 60 years with BMI less 30 kg/m2 and duration of stroke ranged from six months to 18 months. All patients were able to walk independently with or without assistive devices. The degree of spasticity of paretic lower limb muscles ranged from (1:1+) according to the Modified Ashworth Scale. Exclusion criteria: patients with other neurological diseases, haemorrhagic stroke, significant musculoskeletal abnormalities for both lower limbs, contracture, deformities, cardiovascular or pulmonary diseases, cognitive impairments, Pusher syndrome, visual or auditory impairment were excluded. Pretreatment: both groups were matched in the general characteristics including age, height and weight, body mass index and duration of illness (P > 0.05). Sample size calculation: no statistical calculation |
|
Interventions |
Intervention characteristics Experimental training (selective‐trunk training)
Control group (only standard care)
|
|
Outcomes | Walking speed (m/s)
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Unclear risk | No description available in this trial |
Allocation concealment (selection bias) | Unclear risk | No description available in this trial |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | No description available in this trial |
Blinding of outcome assessment (detection bias) All outcomes | Unclear risk | No description available in this trial |
Incomplete outcome data (attrition bias) All outcomes | Unclear risk | No description available in this trial |
Selective reporting (reporting bias) | Unclear risk | No description available in this trial |
Other bias | Unclear risk | No description available in this trial |
Merkert 2011.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to investigate the effect of the Vibrosphere®, with its combined vibration therapy and strategic balance training, on trunk stability, muscle tone and postural control in stroke patients compared with those receiving geriatric rehabilitation alone | |
Participants |
Baseline characteristics Experimental training
Control group (no additional therapy)
Inclusion criteria: paresis or hemiplegia following stroke with decreased stability of the trunk or lower limb and age 60 years and older Exclusion criteria: thrombosis, acute illness or infections, operations of the spine or lower extremities (including joint replacement) within the past 6 months, implanted pacemakers or defibrillators, severe cognitive impairment or body weight greater than 150 kg Pretreatment: no statistical differences were observed in the Barthel Index, Berg Balance Scale, and functional test scores for these patients at admission. Sample size calculation: not calculated |
|
Interventions |
Intervention characteristics Experimental training
Control group (no additional therapy)
|
|
Outcomes | Tinetti gait
Activities of daily living
Walking ability
Standing balance
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Unclear risk | Quote: "randomized into two groups." Judgement comment: not enough details were provided. |
Allocation concealment (selection bias) | Unclear risk | No details on whether allocation was concealed |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | Not described |
Blinding of outcome assessment (detection bias) All outcomes | Unclear risk | Not described |
Incomplete outcome data (attrition bias) All outcomes | High risk | Quote: "Reasons for discontinuation included early dismissal, hospital transfer, and deterioration of patients’ health. There were no significant differences between the dropouts for the two groups in terms of age, gender, length of stay, type or number of diagnoses, cognition, and in‐ or outpatient status. No statistical differences were observed in the Barthel Index, Berg Balance Scale, and functional test scores for these patients at admission." Quote: "the functional tests. Results of the 66 patients enrolled, 48 patients completed the study (25 in the intervention group; 23 in the control group). There was no significant difference". Judgement comment: high dropout rates of 25% and 30% for the intervention and control groups |
Selective reporting (reporting bias) | High risk | Judgement comment: no study registration; only significant results were presented in favour of the experimental group. |
Other bias | Low risk | No other risk of bias |
Mudie 2002.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to investigate which of three treatment approaches might best promote symmetry in sitting and transfer of training to standing. The three approaches were: provision of feedback from the Balance Performance Monitor (BPM) (SMS Technologies Ltd, Harlow, Essex, UK) force platform system, task‐specific reach and a Bobath regimen. A secondary aim was to investigate if symmetry‐specific training provided greater immediate and long‐term improvements than a nonspecific rehabilitation programme. | |
Participants |
Baseline characteristics Experimental training (weight‐shift training)
Experimental training (sitting‐reaching training)
Experimental group (selective‐trunk training)
Control group (no additional therapy)
Overall
Inclusion criteria: suffered a recent stroke, bore the majority of their weight consistently to one side in sitting, and cognitive screening scores indicated a capacity for relearning Exclusion criteria: pain, existing comorbidities that could compromise the response to training, experience of previous balance retraining Pretreatment: there was no significant difference between the admission total and mobility (Barthel Index) scores or age. Sample size calculation: not calculated |
|
Interventions |
Intervention characteristics Experimental training (weight‐shift training)
Experimental training (sitting‐reaching training)
Experimental group (selective‐trunk training)
Control group (no additional therapy)
|
|
Outcomes | Activities of daily living
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Low risk | Quote: "Forty numbers from a random numbers table were sequentially drawn from a box by a clinician independent of the study. The numbers were written alternately in columns headed with the training regimes of the four groups until all 40 numbers were placed." |
Allocation concealment (selection bias) | Low risk | Quote: "The slips of paper containing the random numbers were replaced in an opaque canister that was kept in a locked ling cabinet in the senior investigator’s office. On admission of a patient to the study, an independent person drew a number from the container and the patient was allocated to the treatment group with the matching number." |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | Not described |
Blinding of outcome assessment (detection bias) All outcomes | Unclear risk | Not described |
Incomplete outcome data (attrition bias) All outcomes | Unclear risk | Not described |
Selective reporting (reporting bias) | Unclear risk | Judgement comment: no study registration and P values were available |
Other bias | Low risk | No other potential sources of bias found |
Park 2013.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to examine the potential benefits of exercise using a horseback riding simulator on the postural balance of chronic stroke patients | |
Participants |
Baseline characteristics Experimental training
Control group (same amount of additional therapy)
Inclusion criteria: No patient had diabetes, heart disease, or orthopaedic problems and their MMSE‐K score was 24 or higher. The participants were able to walk independently for more than 15 minutes. They were able to maintain a standing position independently for more than 30 seconds and could walk indoors continuously for more than 30 m independently. Also, they had no problems with walking due to orthopaedic surgery or impairment, a Modified Ashworth Scale stiffness of 2 or less and a lower extremity muscle strength measured as F or higher in the Manual Muscle Test. Exclusion criteria: not described Pretreatment: not evaluated Sample size calculation: not calculated |
|
Interventions |
Intervention characteristics Experimental training
Control group (same amount of additional therapy)
|
|
Outcomes | Standing balance
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Unclear risk | From details of the study, we were not able to reproduce randomisation. |
Allocation concealment (selection bias) | Unclear risk | From details of the study, we could not conclude if randomisation was concealed. |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | Not clear from the description if there was any blinding |
Blinding of outcome assessment (detection bias) All outcomes | Unclear risk | Not clear from the description if there was any blinding |
Incomplete outcome data (attrition bias) All outcomes | Unclear risk | Judgement comment: no details on dropouts or a flow chart |
Selective reporting (reporting bias) | Low risk | Judgement comment: no registration was available. However, non‐significant results were presented in the manuscript. |
Other bias | Unclear risk | Not clear from the description if other biases were ruled out |
Park 2018a.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to compare the effects of NMES to abdominal and back muscles on postural balance in post‐stroke hemiplegic patients | |
Participants |
Baseline characteristics Experimental training (electrostimulation)
Experimental training (electrostimulation back muscles)
Control group (same amount of additional therapy)
Inclusion criteria: (1) participants who were diagnosed with stroke, indicated by magnetic resonance imaging or computed tomography, and an onset time of less than 6 months; (2) participants who had no previous history of stroke; and (3) participants who maintained static sitting balance for more than 5 minutes Exclusion criteria: (1) patients with vestibular, orthopaedic, medical or other neurologic conditions affecting postural stability; (2) patients who were uncooperative because of severe aphasia or cognitive impairment; (3) patients with uncontrolled medical conditions; (4) patients with neglect syndromes; and (5) patients with implanted pacemakers of defibrillators Pretreatment: no significant differences were detected in demographic or clinical characteristics of participants between the groups (P > 0.05). Sample size calculation: the sample size was calculated using the G*Power version3.1.9.2 (http://www.gpower.hhu.de/). The power was set at 0.80, with an alpha of 0.05, and effect size 0.70. Assuming an attrition rate of 20%, an estimated total sample size of 30 (10 per group) was needed. |
|
Interventions |
Intervention characteristics Experimental training (electrostimulation)
Experimental training (electrostimulation back muscles)
Control group (same amount of additional therapy)
|
|
Outcomes | Standing balance
Trunk function
Activities of daily living
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Unclear risk | Quote: "A total of 32 subjects were randomly assigned to three groups by selecting the card with the group number in the invisible box". |
Allocation concealment (selection bias) | Unclear risk | Not clear from the description if allocation was concealed. |
Blinding of participants and personnel (performance bias) All outcomes | High risk | Not blinded. |
Blinding of outcome assessment (detection bias) All outcomes | Unclear risk | Quote: "All outcome measurements were assessed just before and 3 weeks after intervention." |
Incomplete outcome data (attrition bias) All outcomes | Low risk | One participant from group A dropped out due to aspiration pneumonia, and a follow‐up loss in group B occurred due to early discharge before the study completion. |
Selective reporting (reporting bias) | Unclear risk | No registration available; only significant results were reported. |
Other bias | Low risk | No other potential sources of bias found. |
Park 2018b.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to identify an effective interventional method for the rehabilitation of stroke patients by identifying the effects of TENS on trunk control and gait ability in stroke patients when applied simultaneously with chest expansion exercise | |
Participants |
Baseline characteristics Experimental training
Control group (same amount of additional therapy)
Inclusion criteria: diagnosed with stroke 6 months ago, no congenital deformity in the chest, a score of 24 points in the MMSE‐K, no serious abnormality in the pin prick test, ability to walk 20 m independently without aids, ability to hold a standing posture for 30 seconds or more, and the absence of skin disease Exclusion criteria: not described Pretreatment: not evaluated Sample size calculation: not described |
|
Interventions |
Intervention characteristics Experimental training
Control group (same amount of additional therapy)
|
|
Outcomes | Tinetti gait
Trunk function
Walking ability
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | High risk | From the details in the study, we could not reproduce randomisation. |
Allocation concealment (selection bias) | High risk | Allocation was not concealed. |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | Not described if personnel or participants were blinded |
Blinding of outcome assessment (detection bias) All outcomes | Unclear risk | Not described if assessor was blinded |
Incomplete outcome data (attrition bias) All outcomes | High risk | The study authors did not report any dropouts or the reason for possible dropouts. |
Selective reporting (reporting bias) | Unclear risk | No registration available |
Other bias | Unclear risk | No clearly described if there were any other forms of biases |
Park 2020.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to investigate the effect of diagonal pattern training in the sitting position to improve trunk control ability for balance and gait in stroke‐affected patients | |
Participants |
Baseline characteristics Experimental training
Control group (same amount of additional therapy)
Inclusion criteria: (1) had been diagnosed with a stroke on MRI for more than 6 months, (2) were aged 45–70 years, (3) had a MMSE‐K score of 24 or higher, (4) Brunnstrom scale score of 4 or higher, (5) had a modified Ashworth scale score for elbow flexion and shock of 1+ or less, (6) and consented to participate in the study after receiving a clear explanation of the purpose and characteristics of this clinical trial Exclusion criteria: (1) sensory ataxia or cerebellar ataxia, (2) neglect, (3) coronary heart disease (CHD) or peripheral arterial disease, (4) cardiorespiratory problems, and (5) spine surgery Pretreatment: no significant differences at baseline Sample size calculation: the sample size of this study was determined using G‐power software (G* Power 3.1.9.2, Heinrich‐Heine‐Universität, Düsseldorf, Germany). First, a pilot study was conducted in 12 stroke patients to determine the effect size. Using the independent sample t‐test, a total of 42 study participants were required, as 21 experiment participants and 21 control participants, where the effect size was 0.90, significance level was 0.05, and the power was 0.80. |
|
Interventions |
Intervention characteristics Experimental training
Control group (same amount of additional therapy)
|
|
Outcomes | Trunk function
Walking ability
Standing balance
Gait speed (m/s)
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Low risk | Quote: "The subjects considered to be suitable for this study were randomly assigned (randomization website: http://www.randomization.com) to the experiment group (diagonal pattern training) and the control group (single plane training)." |
Allocation concealment (selection bias) | Unclear risk | Quote: "The experiment group was assigned using random numbers obtained through a computer program for random selection." Judgement comment: There is insufficient info here to make a judgement. |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | Not clear if there was any blinding |
Blinding of outcome assessment (detection bias) All outcomes | Unclear risk | Not clear if there was any blinding |
Incomplete outcome data (attrition bias) All outcomes | High risk | Judgement comment: 1 dropout in each group; the reasons for dropout were not clearly described. |
Selective reporting (reporting bias) | Unclear risk | Judgement comment: no study registration; all outcomes were significant. |
Other bias | Low risk | No other potential sources of bias found |
Park J 2017.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to determine the effects of an actual boxing programme on the changes in upper limb function, balance, gait, and quality of life in chronic stroke patients | |
Participants |
Baseline characteristics Experimental training
Control group (same amount of additional therapy)
Inclusion criteria: the selection criteria for the participants of this study included individuals with hemiplegia due to stroke, stroke onset within 6 months to minimise the possibility of natural recovery, a score of > 21 points on the MMSE‐K, ability to independently walk 10 m, and the ability to understand the research purpose and agree to participate in the study Exclusion criteria: individuals who had participated in a similar experiment in the past 6 months, individuals with complaints of back and shoulder pain, and individuals who could not walk 10 m Pretreatment: not evaluated Sample size calculation: not calculated |
|
Interventions |
Intervention Characteristics Experimental training
Control group (same amount of additional therapy)
|
|
Outcomes | Standing balance
Arm‐hand function
Walking ability
Quality of life
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Unclear risk | Quote:"Twenty‐six participants were randomly allocated to a boxing group and control group after the upper limb function, balance, gait, and quality of life were recorded", and 13 people each were allocated to the boxing programme group and conventional physical therapy group through a random draw in order to minimise any bias. Each exercise programme was performed. |
Allocation concealment (selection bias) | Unclear risk | Not described by the study authors |
Blinding of participants and personnel (performance bias) All outcomes | High risk | Each exercise programme was performed over 6 weeks, and the patients were repeatedly educated regarding the training method 1 week before the experiment so that the participants could understand and participate in the boxing programme. |
Blinding of outcome assessment (detection bias) All outcomes | Unclear risk | Not described by the study authors |
Incomplete outcome data (attrition bias) All outcomes | Low risk | Two people, including 1 case of voluntary dropout and 1 case of discharge, were excluded from the boxing programme group. Moreover, 2 individuals were discharged in the conventional physical therapy group, and were excluded from the analysis. |
Selective reporting (reporting bias) | Low risk | No registration was available; both significant and insignificant results were available. |
Other bias | Unclear risk | Not clear if any other forms of biases were reduced to permit 'low risk' or 'high risk' |
Rangari 2020.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to compare the effect of core strengthening exercises on Swiss ball and mat, to improve trunk balance in hemiplegic patients following stroke | |
Participants |
Baseline characteristics Experimental training
Control group (same amount of additional therapy)
Inclusion criteria: patients suffered from first episode of stroke within 1‐3 months of duration, age between 40 to 60 years, stage 2, on the Modified Ashworth Scale, no visual and sensory deficits, ability to communicate verbally Excluded criteria: the existence of any other neurological or orthopaedic diseases, haemorrhagic stroke, patients having cognitive problems Pretreatment: no baseline evaluation was conducted in this study. Sample size calculation: not calculated |
|
Interventions |
Intervention characteristics Experimental training
Control group (same amount of additional therapy)
|
|
Outcomes | Brunel Balance Assessment
Trunk function
Activities of daily living
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Unclear risk | Quote: "Patients were distributed in two groups with 35 subjects in each group respectively and were chosen randomly." Judgement comment: no details on the method of randomisation were provided. |
Allocation concealment (selection bias) | Unclear risk | Not clearly described |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | Not described if participants and personnel were blinded |
Blinding of outcome assessment (detection bias) All outcomes | Unclear risk | Not described if assessor was blinded |
Incomplete outcome data (attrition bias) All outcomes | High risk | The study authors did not report any dropouts or the reason for possible dropouts. |
Selective reporting (reporting bias) | Unclear risk | No registration available; only a few outcome measures were reported. |
Other bias | Unclear risk | Not clear if any other forms of biases were reduced to permit 'low risk' or 'high risk' |
Renald 2016.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to compare the efficacy of trunk exercises performed on Swiss ball versus bed in trunk control among hemiparetic patients | |
Participants |
Baseline characteristics Experimental training
Control group (same amount of additional therapy)
Inclusion criteria: acute ischaemic in the middle cerebral artery stroke patients with age between 45 to 60 years and with post‐stroke duration of less than 1 month. The Mini Mental Status Scales score was 24 or above. The patient should be able to sit for 1 minute unsupported on a stable surface and the patient should be able to understand and follow simple verbal instructions. Exclusion criteria: obesity of participants, patients (BMI > 30), neurological disease affecting balance other than stroke such as cerebellar disease, Parkinson’s disease, vestibular lesion and musculoskeletal diseases such as low back ache, arthritis, degenerative diseases of the lower limbs affecting motor performance Pretreatment: not evaluated Sample size calculation: not calculated |
|
Interventions |
Intervention Characteristics Experimental training
Control group (same amount of additional therapy)
|
|
Outcomes | Motor assessment scale
Trunk function
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Unclear risk | Quote: "Eligible patients were randomly assigned to two groups." Judgement comment: the authors did not describe any details concerning the randomisation process. |
Allocation concealment (selection bias) | Unclear risk | Not clear if allocation was concealed. There is insufficient information to make a judgement. |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | Not clear if participants or personnel were blinded during the trial |
Blinding of outcome assessment (detection bias) All outcomes | Low risk | Quote: "An outcome assessor who was blinded to the group allocation took the outcome measurements using Trunk Impairment scale and Motor assessment scale." |
Incomplete outcome data (attrition bias) All outcomes | Low risk | Quote: "There were two dropouts in group A and 1 dropout in group B. Finally the study had 8 patients in each group." Judgement comment: dropout rate was rather high (20% and 10%) |
Selective reporting (reporting bias) | High risk | Judgement comment: no registration was available and all outcome variables had significant results in favour of the experimental training. |
Other bias | Unclear risk | Not clear if any other forms of biases were reduced to permit 'low risk' or 'high risk' |
Saeys 2012.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to assess the effect of additional trunk exercises on truncal function. In addition, to investigate whether these truncal exercises result in improved standing balance and mobility | |
Participants |
Baseline characteristics Experimental training
Control group (same amount of additional therapy)
Inclusion criteria: patients included suffered a single, hemispheric lesion. Exclusion criteria: age 85 years and older, more than 4 months post‐onset, acute low back pain, and orthopaedic and neurological disorders that could influence postural control. Furthermore, patients suffering from communication disorders that interfered with the protocol were excluded. Pretreatment: no differences were found between the 2 groups for the collected demographic variables, stroke‐related parameters, and pretreatment outcome measures. Sample size calculation: The number of patients required for this study was calculated a priori to ensure sufficient statistical power. This revealed that a sample size of 19 patients in each group was necessary to achieve an 80% chance (power = 0.80) of detecting a 10% difference in improvement between the 2 groups on the TIS. Furthermore, 20 patients in each group were required for the Tinetti Test. |
|
Interventions |
Intervention characteristics Experimental training
Control group (same amount of additional therapy)
|
|
Outcomes | Tinetti balance
FAC
Rivermead Motor Assessment Battery‐gross function
Rivermead Motor Assessment Battery‐leg and trunk
Trunk function
Standing balance
Walking ability
Arm‐hand activity
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Unclear risk | Quote: "For assigning patients to one of both groups, the authors made use of 40 concealed envelopes (20 envelopes for each group), which were randomized by an independent person." |
Allocation concealment (selection bias) | Low risk | Quote: "40 concealed envelopes (20 envelopes for each group)" |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | Quote: "the therapist for that patient was blinded for the experimental intervention. Progression was based on the patients’ level of performance." Judgement comment: therapists were blind, however we were not sure if therapy was provided in a separate room. |
Blinding of outcome assessment (detection bias) All outcomes | Low risk | Quote: "assessor‐blinded" Quote: "Clinical evaluations were performed by an independent assessor who was blinded to group assignment and not involved in treatment." |
Incomplete outcome data (attrition bias) All outcomes | Low risk | Quote: "One patient in the experimental group was discharged after completing 24 of 32 training sessions but was still included in the analysis. In Figure 1, we show the flow diagram for the study." |
Selective reporting (reporting bias) | Low risk | Judgement comment: no registration was available. Non‐significant and significant results were reported. |
Other bias | Low risk | No other potential sources of bias found |
Sarwar 2019.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to see the effect of unstable and stable surface exercises for gaining trunk motor performance, functional balance and functional mobility in stroke patients | |
Participants |
Baseline characteristics Experimental training
Control group (same amount of additional therapy)
Inclusion criteria: chronic unilateral stroke (6 months), more than 30 seconds standing ability without any support, a score of 24 or over on a MMSE, ability to sit independently for at least 30 seconds on a stable surface without any assistance Exclusion criteria: other conditions affecting balance such as cerebellar diseases, vestibular pathology, muscle and skeletal system disorders such as arthritis or backache, any degenerated condition affecting lower limb performance Pretreatment: both groups were found similar for gender, socioeconomic status, occupation, type of stroke, status of diabetes and hypertension at baseline. Sample size calculation: not calculated |
|
Interventions |
Intervention characteristics Experimental training
Control group (same amount of additional therapy)
|
|
Outcomes | Trunk function
Standing balance
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Unclear risk | Judgement comment: they were randomly allocated to the control and experimental groups. |
Allocation concealment (selection bias) | Unclear risk | Not clear if allocation was concealed |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | Not clear if participants and personnel were blinded |
Blinding of outcome assessment (detection bias) All outcomes | Unclear risk | Blinding of assessor was not described. |
Incomplete outcome data (attrition bias) All outcomes | Low risk | Judgement comment: there were no patient dropouts during the study. |
Selective reporting (reporting bias) | High risk | Judgement comment: no study registration. Only significant outcomes were reported. |
Other bias | Unclear risk | Not described if there were any forms of concealment |
Seo 2012.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to investigate the effect of trunk stabilisation exercises on the thickness of deep abdominal muscles and the effectiveness of this change in the thickness of the deep abdominal muscles on balance | |
Participants |
Baseline characteristics Experimental training
Control group (no additional therapy)
Inclusion criteria: agreement to participate in the study, within 6 months from the onset of stroke, no complaints of chronic back pain or current back pain, and the ability to follow directions given by therapists (MMSE‐K over 24 points) Exclusion criteria: not reported Pretreatment: there were no significant differences in the age, height, weight, days since stroke onset, and MMSE‐K between the experimental and control groups (P > 0.05). Sample size calculation: not mentioned |
|
Interventions |
Intervention characteristics Experimental training
Control group (no additional therapy)
|
|
Outcomes | Standing balance
Trunk function
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Unclear risk | Quote: "Subjects were randomly assigned to the experimental group (EG) and the control group (CG) in this study." |
Allocation concealment (selection bias) | Unclear risk | Quote: "Subjects were randomly assigned to the experimental group (EG) and the control group (CG) in this study. " There is insufficient info here to make a judgement. |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | No description available in this trial |
Blinding of outcome assessment (detection bias) All outcomes | Unclear risk | No description available in this trial |
Incomplete outcome data (attrition bias) All outcomes | High risk | Quote: "Three patients in the experimental group and 1 patient in the control group did not complete the study, and 1 patient in the control group also failed to fully participate after sustaining an above‐knee fracture during the study period." Judgement comment: not all details for the reasons for dropout were given. |
Selective reporting (reporting bias) | Low risk | No registration available, no P values reported; both significant and not‐significant results were reported. |
Other bias | Unclear risk | Not described by the study authors |
Shah 2016.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to test the effect of truncal motor imagery practice on trunk performance, functional balance, and daily activities in acute stroke patients. It was hypothesised that the motor imagery practice in addition to conventional therapy will have better trunk performance, functional balance, and daily activities over the conventional therapy in acute stroke patients. | |
Participants |
Baseline characteristics Experimental training
Control group (same amount of additional therapy)
Inclusion criteria: acute stroke patients with haemodynamic stability, aged between 30 and 70 years, 1st time stroke with unilateral supratentorial lesion, and capable of following simple verbal commands Exclusion criteria: TIS score > 20 at baseline, history of multiple stroke, and other neurological diseases (Parkinson’s disease, vestibular disturbances) or musculoskeletal problems (low back pain, arthritis) affecting the balance Pretreatment: the baseline variables were comparable between‑groups. Sample size calculation: not calculated |
|
Interventions |
Intervention characteristics Experimental training
Control group (same amount of additional therapy)
|
|
Outcomes | Trunk Control Test
Brunel Balance Assessment‐standing
Brunel Balance Assessment‐stepping
Trunk function
Activities of daily living
Standing balance
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Unclear risk | Quote: "Block randomization method was used to allocate the patients into two groups." Judgement comment: was not described in enough detail so that readers could reproduce the randomisation, e.g. no information was available about the size of the blocks |
Allocation concealment (selection bias) | Low risk | Quote: "Concealed allocation was followed throughout the study, and the observer who performed the randomization was not involved in either conducting the interventions or collecting the outcome measures." |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | Not described by the study authors |
Blinding of outcome assessment (detection bias) All outcomes | Low risk | Quote: "Assessor blinding was done, and the assessor was not a part of the intervention." |
Incomplete outcome data (attrition bias) All outcomes | Low risk | Judgement comment: 1 dropout in the experimental group due to early discharge |
Selective reporting (reporting bias) | Low risk | Judgement comment: no registration; non‐significant outcomes were presented in the manuscript and P values were included. |
Other bias | Low risk | No other potential sources of bias found |
Sharma 2017.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to show that addition of core stabilisation programme to pelvic PNF would help in improving core stability in order to attain trunk control and controlled mobility for improving balance, gait and functional ability in stroke patients | |
Participants |
Baseline characteristics Experimental training
Control group (same amount of additional therapy)
Inclusion criteria: participants were recruited from the Rehabilitation Department of Indian Spinal Injuries Hospital, Vasant Kunj and Physiotherapy Department, Vidyasagar Institute of Mental Health, Neurology and Allied Sciences, Delhi. Participants with first ever unilateral ischaemic stroke involving middle cerebral artery territory; duration of stroke more than 6 months; age between 45–60 years were included. Participants should be able to walk with or without support for 10 m. Participants should be able to understand and follow simple verbal instructions (MMSE ≥ 24). Exclusion criteria: participants with recurrent stroke; brainstem or cerebellar stroke or haemorrhagic stroke were excluded. Also, participants with severe spasticity (Modified Ashworth Scale grade ≥ 3) or severe flaccidity in lower limbs and upper limbs were excluded. Pretreatment: no significant differences at baseline Sample size calculation: sample size was determined through power calculation based on previous studies for core stabilisation in stroke patients with an estimated effect size of 0.80, an overall sample of 16 participants (8 in each group) at the 0.05 level of significance. However, 26 participants were recruited to allow 10% dropout. |
|
Interventions |
Intervention characteristics Experimental training
Control group (same amount of additional therapy)
|
|
Outcomes | Trunk function
Activities of daily living
Walking ability
Standing balance
Mini‐BESTest
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Low risk | Quote: "For random allocation a computer generated random allocation schedule was created by a person other than the principal investigator." Quote: "For random allocation a computer generated random allocation schedule" |
Allocation concealment (selection bias) | Low risk | Quote: "was created by a person other than the principal investigator. To ensure concealment the allocation schedule was sequentially numbered and sealed in opaque envelopes. Person not associated with the study opened the numbered envelopes sequentially to reveal the participant’s group allocation." |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | Not described by the study authors |
Blinding of outcome assessment (detection bias) All outcomes | Low risk | Quote: "assessor‐blinded randomised" |
Incomplete outcome data (attrition bias) All outcomes | Low risk | Quote: "Dropouts: due to health problems unrelated with training" Judgement comment: 2 and 1 dropouts; the reasons were described in the manuscript. |
Selective reporting (reporting bias) | Low risk | Judgement comment: no study registration; significant and non‐significant results were reported. |
Other bias | Low risk | No other potential sources of bias found |
Sheehy 2020.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: the primary research objective was to determine whether supplemental sitting balance exercises, administered via VRT, improved the control of sitting balance in stroke rehabilitation inpatients. The secondary objective was to determine whether this programme of sitting balance exercises improved the performance of upper extremity functional tasks, some of which integrate sitting balance. | |
Participants |
Baseline characteristics Experimental training
Control group (same amount of additional therapy)
Inclusion criteria: 1) had a stroke in the previous 6 months (ischaemic or haemorrhagic, all brain regions) and were attending inpatient rehabilitation, (2) could sit independently for at least 1 minute without support and at least 20 minutes with support, (3) were not able to stand independently for more than 1 minute, and (4) could provide informed consent Exclusion criteria: (1) had a medical condition that precluded exercise of mild to moderate intensity, (2) had vestibular deficits or vertigo, or (3) had seizure activity in the prior 6 months Pretreatment: there were no significant differences between groups with respect to demographic characteristics or amount of training received. Sample size calculation: sample size was estimated using MedCalc software (version12, MedCalc Software, Ostend, Belgium), based on the primary outcome measure, the Function in Sitting Test (FIST), and the formula for the difference between two independent means (two‐tailed, α = 0.05, (1‐β) = 0.80, minimal clinically important difference 6.5 points, SD 9 points). The sample size was thus 31 participants per group; 38 per group allowing for a 20% dropout rate. |
|
Interventions |
Intervention characteristics Experimental training
Control group (same amount of additional therapy)
|
|
Outcomes | Ottawa Sitting Scale
Reaching Performance Scale for stroke
Arm‐hand function
Trunk function
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Low risk | Quote: "Participants were randomized within permuted blocks in a 1:1 ratio using a web‐based randomization system based at a remote coordinating center (Ottawa Methods Centre, Ottawa Hospital Research Institute, Ottawa, Canada)." |
Allocation concealment (selection bias) | Low risk | Quote: "The assessor (A.T.‐H.) entered each participant’s code into the randomization system and an email was sent with the allocation to the VRT trainer (L.S.). L.S. informed the participants of their allocation at the first VRT session." |
Blinding of participants and personnel (performance bias) All outcomes | High risk | Quote: "L.S. informed the participants of their allocation at the first VRT session." |
Blinding of outcome assessment (detection bias) All outcomes | Low risk | Quote: "A.T.‐H. was blinded to the participant’s group allocation and L.S. was blinded to the outcome measures." |
Incomplete outcome data (attrition bias) All outcomes | High risk | Judgement comment: there was a higher rate of dropouts in the control group (13%). All details were described. |
Selective reporting (reporting bias) | High risk | Judgement comment: trial registration was available. Some data were not reported such as limits of stability in sitting and nothing was reported concerning feedback of the training. |
Other bias | Unclear risk | Not clearly described if there were any other forms of biases |
Shim 2020.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to investigate the effect of electromyography (EMG)‐induced functional electrical stimulation during proprioceptive neuromuscular stimulation trunk pattern on trunk control, balance and gait ability | |
Participants |
Baseline characteristics Experimental training (trunk training)
Control group
Inclusion: those diagnosed with stroke for the first time, those who were between 6 months and 24 months after stroke, those who were able to walk 10 m regardless of usage of walking aids, those who scored ≥ 24 points in the MMSE‐K and thus could understand simple verbal instructions of the therapist, those who had no orthopaedic problems such as fractures, cuts, etc, and those who had not participated in similar experiments within the last 12 months Exclusion criteria: those whose time since stroke was < 6 months, those who had visuospatial or auditory problems, those who had a neurological condition that might affect balance and gait other than stroke, those who suffered recurrent stroke, and those who had an electrical stimulation contraindication Pretreatment: no differences between general and clinical baseline characteristics Sample size calculation: no sample size calculation was conducted. |
|
Interventions |
Intervention characteristics Experimental training (trunk training)
Control group
|
|
Outcomes | Trunk function
Walking ability
Standing balance
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Unclear risk | Judgement comment: the random assignment method was applied to the experimental and control group using random (rand) function after the participants were coded and entered into an Excel file. |
Allocation concealment (selection bias) | Unclear risk | Judgement comment: the random assignment method was applied to the experimental and control group using random (rand) function after the participants were coded and entered into an Excel file. |
Blinding of participants and personnel (performance bias) All outcomes | High risk | Judgement comment: the participants did not know the nature of the group to which they belonged until the end of the study. Therapists were not blinded. |
Blinding of outcome assessment (detection bias) All outcomes | High risk | Judgement comment: single blinding, the participants did not know the nature of the group to which they belonged until the end of the study. Participants were blinded, not the assessor. |
Incomplete outcome data (attrition bias) All outcomes | High risk | Judgement comment: 3 participants in the experimental group and 4 in the control group were not analysed. The study authors did not provided any further information. |
Selective reporting (reporting bias) | High risk | Judgement comment: 4 participants in the experimental group and 3 in the control group were not analysed. Possible selective outcome reporting |
Other bias | Unclear risk | Not clear if any other forms of biases were reduced to permit 'low risk' or 'high risk' |
Shin 2016.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to investigate the effect of trunk stabilisation exercises on the thickness of deep abdominal muscles and the effectiveness of this change in the thickness of the deep abdominal muscles on balance | |
Participants |
Baseline characteristics Experimental training
Control group (no additional therapy)
Inclusion criteria: chronic hemiplegia for more than 6 months resulting from a single stroke; the ability to sit independently for at least 30 minutes; the ability to walk with or without the use of an assistive device for 10 minutes; the ability to understand and follow simple verbal instructions (MMSE‐K score > 24) Exclusion criteria: participation in other studies or rehabilitation programmes, orthopaedic or other conditions or diseases that influence balance and gait such as arthritis or total hip joint replacement, use of balance‐influencing drugs such as opiates or antibiotic streptomycin, severe defects in vision, and visual perception deficits that may affect the visual feedback trunk control training (Motor‐Free Visual Perception Test score G20) Pretreatment: no differences were noted concerning general characteristics of the 2 groups, including age, weight, height, duration of stroke, type of stroke, hemiplegic side, and lesion site. Sample size calculation: to determine the sample size, G‐Power 3.19 software was used. To calculate sample size, alpha error probability and power were set as 0.05 and 0.8, respectively. In addition, the effect size was set at 1.05 based on the result of TIS in a prior pilot test. Therefore, a sample size of 12 patients per group was necessary. |
|
Interventions |
Intervention characteristics Experimental training
Control group (no additional therapy)
|
|
Outcomes | Modified Functional Reach Test
Trunk function
Walking ability
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Unclear risk | Quote: "For randomization, random allocation software was used." Judgement comment: the method and computer program were not specified in this trial. |
Allocation concealment (selection bias) | Unclear risk | Judgement comment: no details were described. |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | Only the assessor was blinded. |
Blinding of outcome assessment (detection bias) All outcomes | Low risk | Only the assessor was blinded. |
Incomplete outcome data (attrition bias) All outcomes | Low risk | Flow chart |
Selective reporting (reporting bias) | Unclear risk | No registration available; only positive outcome measures were reported. |
Other bias | Low risk | No other potential sources of bias found |
Sun 2016.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to determine which is better in the rehabilitation of stroke patients: core‐stability exercises or conventional exercises | |
Participants |
Baseline characteristics Experimental training
Control group (same amount of additional therapy)
Inclusion criteria: ability to walk more than 32 feet, duration of disorder > 6 months, no musculoskeletal problems, absence of any cardiac disorders, complete understanding of this research, and ability to communicate Exclusion criteria: not reported Pretreatment: the baseline clinical data including age, gender, disease course, BBS, and MBI were recorded. There was no significant differences in baseline data between the two groups (P > 0.05). Sample size calculation: not calculated |
|
Interventions |
Intervention characteristics Experimental training
Control group (same amount of additional therapy)
|
|
Outcomes | Modified Barthel Index
Berg Balance Scale
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Low risk | Quote: "randomly divided into either an experimental or control group by a random computer‐generated sequence." |
Allocation concealment (selection bias) | Low risk | Quote: "The group allocations were concealed in numbered, sealed, opaque envelopes." |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | Not described if personnel and participants were blinded |
Blinding of outcome assessment (detection bias) All outcomes | Unclear risk | Not described if assessor was blinded |
Incomplete outcome data (attrition bias) All outcomes | High risk | Quote: "Three patients in the experimental group and two in the control group withdrew from the study two weeks after treatment, and in total thirty‐five patients completed the training." Judgement comment: no reasons for dropout were mentioned. |
Selective reporting (reporting bias) | Unclear risk | Not clearly described to rule out 'low risk' or 'high risk' |
Other bias | Unclear risk | Not clear if any other forms of biases were reduced to permit 'low risk' or 'high risk' |
Thijs 2021.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to investigate the feasibility, safety, and potential effectiveness of technology‐supported sitting balance therapy by using T‐Chair ... a single centre pilot randomised controlled trial (RCT) with participants in the chronic phase after stroke with the primary objective of investigating the feasibility and safety of sitting balance therapy enhanced with the T‐Chair. The secondary objective was to evaluate whether utilising technology‐assisted therapy, in addition to usual care, improved sitting balance, trunk function, mobility, functional balance, strength, and ADL in participants post stroke, as compared with usual care only. | |
Participants |
Baseline characteristics Experimental training
Control group (not same amount of additional therapy)
Inclusion criteria: had suffered a first stroke more than six months previously; they were 18 years or older; they had impaired trunk function (score ≤ 19 on TIS; they were able to maintain a seated position independently for more than 10 s; they were able to travel to the study location; they had no significant comorbidities (other than stroke) affecting trunk function; they had sufficient cognitive and language capacity to understand and perform the study protocol; they provided written informed consent Exclusion criteria: participants were excluded if they did not meet one or more inclusion criteria. Pretreatment: no baseline group difference. Groups different before the intervention for maximum walking speed Sample size calculation: because of the pilot nature of the study, a sample size calculation was not required. However, by comparison with previously conducted trials with a similar design, and recommendations by Whitehead 2015, a sample of 15 participants in each arm of the trial was considered sufficient to be able to answer the research questions. |
|
Interventions |
Intervention characteristics Experimental training
Control group (different amount of additional therapy)
|
|
Outcomes | Trunk function
Walking ability
Standing balance
Activities of daily living
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Low risk | Quote: "The principal investigator (GV) randomly allocated participants, after consent, to two different groups, experimental and control. The principal investigator (GV) used the coin flip randomization method..." |
Allocation concealment (selection bias) | Low risk | Allocation was concealed according to authors. |
Blinding of participants and personnel (performance bias) All outcomes | High risk | No blinding of participants and personnel |
Blinding of outcome assessment (detection bias) All outcomes | Low risk | Quote:"The assessor and data analyst (LT) was blinded throughout all assessments (three measurement points) and analyses." |
Incomplete outcome data (attrition bias) All outcomes | Unclear risk | Quote: "One participant in the experimental group dropped out (3%): this person had a back injury due to heavy lifting (unrelated to the study) and was unable to continue with the protocol and post‐intervention evaluation. The other participants in the experimental group were able to complete all 12 intervention sessions (100%). Retention in the experimental group was high with 14 participants completing all treatment sessions and the final assessment." Judgement comment: reasons for dropouts were mentioned. |
Selective reporting (reporting bias) | Unclear risk | Not clearly described to rule out 'low risk' or 'high risk' |
Other bias | Unclear risk | Not clear if any other forms of biases were reduced to permit 'low risk' or 'high risk' |
Van Criekinge 2020.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to investigate whether reported mobility improvements are associated with the changes observed in trunk motion. To examine which improvements in gait and trunk parameters are associated with the observed carry‐over effects of the primary mobility outcome measure | |
Participants |
Baseline characteristics Experimental training
Control group (same amount of additional therapy)
Inclusion criteria: adults diagnosed with a haemorrhagic or ischaemic stroke within 5 months, had a confirmed unilateral localisation of the stroke verified by medical imaging, and without a history of previous stroke Exclusion criteria: (1) a score of 20 or higher on the TIS; (2) a score lower than 2 on the Functional Ambulation Categories; (3) unable to sit independently with foot contact on a stable surface for 30 seconds; (4) a neurological or orthopaedic disorder, except for stroke, which could affect motor performance or balance; (5) a communication disorder that limits the understanding of verbal instructions; (6) patients over the age of 85 years;and (7) contraindications to physical activity (e.g. heart failure) were present or excessive physical activity was deemed unsafe by the physician Pretreatment: no significant differences were found in the baseline comparison, except for step length (mean difference of 9 cm; t37 = 2.03; P = 0.05). Sample size calculation: not calculated |
|
Interventions |
Intervention characteristics Experimental training
Control group (same amount of additional therapy)
|
|
Outcomes | Trunk function
Walking ability
Standing balance
TIS 1.0
Gait speed (m/s)
Tinetti‐POMA (balance and gait)
Tinetti gait
Tinetti balance
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Unclear risk | Judgement comment: participants will be randomly allocated to either the experimental or the control group by simple randomisation executed by an independent researcher who is not involved in the assessment or treatment of the patients. Study protocol |
Allocation concealment (selection bias) | Low risk | Judgement comment: a blinded investigator will allocate patients to the control or the experimental group by means of concealed envelopes which will be kept off site. |
Blinding of participants and personnel (performance bias) All outcomes | High risk | Judgement comment: although we will try to blind patients, therapists, and assessors, it is unlikely that patients and therapists will stay blind during the course of this study due to the nature of the applied treatment. However, to make sure that the risk of bias stays low, patients will be registered in the database by means of a patient ID code so assessors are blinded during analysis. Only the primary investigator will have knowledge regarding allocation. |
Blinding of outcome assessment (detection bias) All outcomes | Low risk | Judgement comment: although we will try to blind patients, therapists, and assessors, it is unlikely that patients and therapists will stay blind during the course of this study due to the nature of the applied treatment. However, to make sure that the risk of bias stays low, patients will be registered in the database by means of a patient ID code so assessors are blinded during analysis. Only the primary investigator will have knowledge regarding allocation. |
Incomplete outcome data (attrition bias) All outcomes | Low risk | Quote: "found as Supplementary Figure 1. Six participants did not fullfil the complete treatment because of problems with fatigue (n = 3) in the experimental group and because of an early discharge (n = 1) and problems with fatigue (n = 2) in the control group. The analysis and results are therefore based on the 39 participants who completed the full treatment. No significant differences were found." |
Selective reporting (reporting bias) | Low risk | Judgement comment: study registration was available. All outcome measures were reported. |
Other bias | Low risk | No other potential sources of bias found |
Varshney 2019.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to study the effect of Swiss ball activities on trunk control in post‐stroke patients | |
Participants |
Baseline characteristics Experimental training
Control group (no additional therapy)
Inclusion criteria: post‐stroke patients up to 3 months, both ischaemic or haemorrhagic with first onset of unilateral lesion, medically stable, able to understand and follow simple verbal instruction, scoring >/= 24 on MMSE, could sit unsupported for 1 minute on a stable surface with feet touching the ground, > 13 PASS (TC), > 8 TIS Exclusion criteria: any neurological disease and musculoskeletal disorders affecting trunk control other than stroke, history of surgery due to musculoskeletal diseases affecting motor control Pretreatment: no significant differences between the groups were found for the demographic variables: “P values” for age (0.178), gender (0.723), affected side right/left (0.716). There were no significant differences in stroke‐related parameters and outcome measures between the groups:“P values” for TIS (0.717), PASS (1.0), and MMSE(0.481). Sample size calculation: not calculated |
|
Interventions |
Intervention characteristics Experimental training
Control group (no additional therapy)
|
|
Outcomes | Trunk function
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Unclear risk | Randomisation was not described with enough details. |
Allocation concealment (selection bias) | Unclear risk | Allocation was not described. |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | Blinding was not described. |
Blinding of outcome assessment (detection bias) All outcomes | Unclear risk | Blinding was not described. |
Incomplete outcome data (attrition bias) All outcomes | High risk | Quote: "During the course 2 participants discontinued interventions in experimental group." Judgement comment: 2 dropouts in the experimental group; the reasons for dropouts were not given. |
Selective reporting (reporting bias) | Unclear risk | Judgement comment: no trial registration available |
Other bias | Unclear risk | Judgement comment: we could not rule out any other bias. |
Verheyden 2009.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to investigate the effect of additional exercises, aimed at improving sitting balance and selective‐trunk movements, on trunk performance after stroke | |
Participants |
Baseline characteristics Experimental training
Control group (no additional therapy)
Inclusion criteria: participants were recruited if they attended the in patient stroke rehabilitation programme and had a hemiparesis that was stroke‐related. Exclusion criteria: patients were excluded from the study if they were 80 years of age or older, were not able to understand the instructions, had other disorders that could affect motor performance, or obtained a maximum trunk performance score at the start of the study. Pretreatment: no significant differences were found between participants in the experimental and control groups for the collected demographic variables, stroke‐related parameters, clinical measures, number of physiotherapy and occupational therapy sessions received over the 5‐week period, and primary outcome measure used in this study. Sample size calculation: not calculated |
|
Interventions |
Intervention characteristics Experimental training
Control group (no additional therapy)
|
|
Outcomes | Trunk function
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Unclear risk | Quote: "Prior to the initial evaluation, participants were divided by simple randomization into an experimental or control group. Randomization was done by a person who was not involved in the assessment or treatment of the patients." |
Allocation concealment (selection bias) | Low risk | Judgement comment: simple randomisation and allocation done by a third person not involved in the treatment. |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | Judgement comment: there was no reporting of blinding the participants or personnel. |
Blinding of outcome assessment (detection bias) All outcomes | Low risk | Quote: "assessor‐blinded randomized" |
Incomplete outcome data (attrition bias) All outcomes | Low risk | Quote: "There were no dropouts during the course of the study, but 2 patients in the experimental group had 3 and 4 fewer hours of additional therapy sessions because of early discharge from the rehabilitation center (20 and 21 days after inclusion in the study). In the control group, 3 patients were discharged after 21, 23, and 25 days, respectively. All participants were evaluated before discharge from the rehabilitation center and included in the analysis." Judgement comment: reasons for dropouts were described and data were included in the analysis. |
Selective reporting (reporting bias) | Unclear risk | Judgement comment: no study registration was available and trunk function was reported. At baseline, other outcomes were measured (Tinetti). However, the results post‐intervention were not reported. The outcome on TIS reported no significant difference between groups. |
Other bias | Low risk | No other potential sources of bias found |
Viswaja 2015.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to compare the effectiveness of trunk training exercises and Swiss ball exercises on sitting balance and gait in stroke patients | |
Participants |
Baseline characteristics Experimental training
Control group (same amount of additional therapy)
Inclusion criteria: first onset of unilateral stroke, independent ability to sit for 30 seconds, the ability to reach with intact arm, age between 50‐70 years Exclusion criteria: the exclusion criteria for this study involved neurological disease affecting balance other than stroke, visual problems which would interfere with reaching to pick up objects, vestibular lesions, hemispatial neglect, musculoskeletal disorders of trunk or lower extremities affecting the motor performance, cardiovascular conditions like myocardial infarction, Pusher’s syndrome, cognitive impairments, severe aphasia. Pretreatment: not evaluated Sample size calculation: not calculated |
|
Interventions |
Intervention Characteristics Experimental training
Control group (same amount of additional therapy)
|
|
Outcomes | Trunk function
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Unclear risk | Quote: "These 60 subjects were randomized into two groups, trunk training and Swiss ball group by simple random sampling. Subjects were selected by lottery method." |
Allocation concealment (selection bias) | Unclear risk | Judgement comment: not reported how allocation was performed |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | Not described if participants or personnel were blinded |
Blinding of outcome assessment (detection bias) All outcomes | Unclear risk | Judgement comment: no blinding |
Incomplete outcome data (attrition bias) All outcomes | Unclear risk | Judgement comment: we could not find any details from baseline characteristics. |
Selective reporting (reporting bias) | High risk | Judgement comment: no registration was available, no baseline characteristics |
Other bias | Unclear risk | Judgement comment: no details about selection were provided. |
Yoo 2010.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to examine the effect of a core strengthening programme in the trunk balance of stroke patients, and to search for association between trunk balance, cognitive function, and activities of daily living | |
Participants |
Baseline characteristics Experimental training
Control group (same amount of additional therapy)
Inclusion criteria: acute and subacute stroke patients Excluded criteria: this study excluded patients who could not communicate with the therapist (severe aphasia, cognitive impairment), patients who were paralysed on both sides, patients who were suffering from other neurologic diseases, patients with neurologic deficit, neglect, and patients with severe internal diseases and severe back pain or other musculoskeletal disorder. Pretreatment: both the experimental group and the control group had similar conditions: demographic, paralysed side, the time gap between stroke and rehabilitation, MMSE‐K, and Korean modified Barthel index before the physical therapy began. Sample size calculation: not calculated |
|
Interventions |
Intervention characteristics Experimental training
Control group (same amount of additional therapy)
|
|
Outcomes | Trunk Control Test
Trunk function
Standing balance
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Unclear risk | Quote: "The study included 59 subjects who were randomly divided into two groups: in the experimental group (n = 28) and the control group (n = 31)." Judgement comment: no details were available on how the authors randomised participants. |
Allocation concealment (selection bias) | Unclear risk | Judgement comment: the study included 59 subjects who were randomly divided into two groups: in the experimental group (n = 28) and the control group (n = 31). No details were available on how allocation was concealed. |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | Judgement comment: no blinding of participants or personnel |
Blinding of outcome assessment (detection bias) All outcomes | Unclear risk | Not described if assessor was blinded |
Incomplete outcome data (attrition bias) All outcomes | Unclear risk | Judgement comment: no dropouts were mentioned. |
Selective reporting (reporting bias) | Low risk | Judgement comment: no registration was available. Significant and insignificant data were reported. |
Other bias | Low risk | No other potential sources of bias found |
Yu 2013.
Study characteristics | ||
Methods | Study design: RCT Study grouping: parallel group Aim: to compare the core muscle activity of patients with CVA‐induced hemiplegia before and after treatment for improving core stability; to estimate the change in core muscle activity by using surface electromyography and the trunk impairment scale, and provide baseline data for core‐stability rehabilitation programmes | |
Participants |
Baseline characteristics Experimental training
Control group (no additional therapy)
Inclusion criteria: ability to walk for more than 32 feet, duration of disorder > 6 months, do not have any problem in musculoskeletal model, absence of a cardiac disorder, complete understanding of this research, and ability to communicate Exclusion criteria: not reported Pretreatment: group differences were not evaluated with a statistical test. Sample size calculation: not calculated |
|
Interventions |
Intervention characteristics Experimental training
Control group (no additional therapy)
|
|
Outcomes | Trunk function
|
|
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | High risk | Quote: "The participants were divided into two groups: a control group of 10 patients who underwent kinesiatrics and an experiment group of 10 patients who participated simultaneously in a core‐stability‐enhancing program and kinesiatrics (Table 1)." Judgement comment: no details available in the manuscript |
Allocation concealment (selection bias) | Unclear risk | Judgement comment: no details available in the manuscript |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | Not described if participants or personnel were blinded |
Blinding of outcome assessment (detection bias) All outcomes | Unclear risk | Judgement comment: no details available in the manuscript |
Incomplete outcome data (attrition bias) All outcomes | Unclear risk | Not clear from description in the manuscript |
Selective reporting (reporting bias) | Unclear risk | Judgement comment: no study registration was available. Only significant results were presented. |
Other bias | Unclear risk | Judgement comment: no details were available in the manuscript to rule out 'low risk' or 'high risk' |
ABC: Activities‐specific Balance Confidence Scale ADIM: Abdominal drawing‐in manoeuvre ADL: Activities of daily living AR: augmented reality BBS: Berg Balance scale BI: Barthel Index BMI: Body Mass Index BPM: Balance Performance Monitor CG: control groep CHD: coronary heart disease CoP: center of pressure CT: computed tomography CVA: cerebrovascular accident CVD: cerebrovascular disease cm: centimeter CMS: Core muscle strengthening d: effect size index DG: device group EMG: Electromyograph EO: external oblique muscles ES: erector spinae muscles FAC: Functional Ambulation Category FES: Functional electrical stimulation FICSIT‐4: Frailty and Injuries Cooperative Studies of Intervention Technique FIST: Function in sitting test FMA‐LE: Fugl‐Meyer Assessment‐Lower Extremity FR: forward reach FRT: functional reach in standing H: haemorrhagic Hz: Hertz HMD: head‐mounted device I: ischaemic I/H: ischemic/hemorrhagic K‐MBI: Korean version of Modified Barthel Index L: left LED: light‐emitting diode LCD: liquid‐crystal display L/R: left/right MBI: Modified Barthel Index MMSE: Mini Mental State Examination MMSE‐K: Mini Mental State Examination‐Korean version MoCA: Montreal Cognitive Assessment MRI: magnetic resonance imaging m/s: meter/second N: number n/a: not applicable NDT: Neurodevelopmental treatment NIHSS: National Institutes of Health Stroke Scale NMES: neuromuscular electrical stimulation NRS: numerical rating scale PASS: Postural Assessment Scale for Stroke PBS(s): pressure biofeedback system PNF: proprioceptive neuromuscular facilitation POMA: Performance‐oriented Mobility Assessment R: right RCT: randomised controlled trial RNLI: Reintegration to Normal Living Index RS: rhythmic stabilisation s: seconds SD: standard deviation SE: standard error SET: sling exercise therapy SF‐36: 36‐Item Short Form Survey SIS‐16: Stroke Impact Scale SPVFTCT: smartphone‐based visual feedback trunk control training SR: stabilising reversal STREAM: Stroke Rehabilitation Assessment of Movement SVGA: Super VideoGraphics Array TENS: transcutaneous electrical nerve stimulation TIS: Trunk Impairment Scale tNMES: trunk neuromuscular electrical stimulation TrA: transversus abdominis TRTT: task‐related trunk training TUG: Timed Up and Go Test STE: selective‐trunk exercise VAS: visual analogue scale VG: vibration group VG: video game VR: virtual reality VRT: Virtual reality training WBV: whole‐body vibration WSE: weight‐shifting exercise WST: weight‐shifting training
Characteristics of excluded studies [ordered by study ID]
Study | Reason for exclusion |
---|---|
ACTRN12608000457347 | No trunk training (SMART arm training) |
Awad 2015 | Ineligible outcomes (peak muscle forces and torques, not the predefined outcomes) |
Baek 2015 | Ineligible outcomes (centre of path, travel speed & muscles thickness, not the predefined outcomes) |
Barker 2008 | No trunk training (training for upper extremities) |
Bonan 2002 | Training mostly in standing position |
Bower 2014 | Training in standing position |
Brogardh 2012 | Poster/conference abstract and practicing in standing position |
Cekok 2016 | Training in standing position |
Chen 2008 | Ineligible participant population (included healthy adults) |
ChiCTR1800020170 | Ineligible study design and no trunk training |
Cho 2020 | Ineligible comparator (trunk training in combination with kinesio is compared with trunk and placebo kinesio) |
Cirstea 2007 | Ineligible participant population (nondisabled participants were included) and training on upper extremities |
CTRI/2018/01/011543 | Trunk training was embedded in broader therapy (task‐oriented training; circuit training for trunk and hip abductor) |
Da Silva Ribeiro 2015 | Training in standing position |
Dell'Uomo 2017 | No trunk training (scapulohumeral rehabilitation protocol/upper extremities training) |
De Luca 2018 | No trunk training |
Dursun 1996 | Ineligible study design (pre‐post design, no RCT) |
Foley 2004 | Ineligible participant population (mixed population) |
Fujino 2012 | Ineligible outcomes (trunk control test had descriptive variables but not an outcome) |
Glick 1997 | Training in standing position |
Guillén‐Solà 2017 | No trunk training |
Ha 2020 | Ineligible comparator (the effect of attentional concentration was evaluated) |
Hancock 2017 | Wrong study design (observational study) |
Hirokawa 2013 | Training in standing position |
Hsieh 2019 | Training in standing position |
ISRCTN14335555 | Training in standing position |
ISRCTN20398227 | Only trial registration was available; training was in standing position |
Jung 2018 | Training in standing position |
Kal 2019 | Training in standing position |
Kim 2008 | Training in standing position |
Kim HY 2018 | Ineligible study design (retrospective study, no RCT) |
Kim JC 2018 | Ineligible study design (a cross‐over randomised controlled trial) |
Koneva 2018 | No trunk training |
Kozol 2010 | Trunk training was embedded in broader therapy |
Krishna 2018 | No trunk training |
Kulkarni 2018 | Training mostly in standing position |
Lee 2017 | No trunk training |
Lee 2018b | No trunk training |
Liaw 2020 | No trunk training |
Lin 1998 | Training in standing position |
Lobo 2022 | Training in standing position |
Marigold 2005 | No trunk training |
Mohapatra 2012 | No trunk training |
Muckel 2014 | Ineligible comparator (both groups received weight shift; the intervention of interest was the different attention strategies) |
NCT01304017 | No trunk training (played games in pairs on one console then rotated to play another console with another partner) |
NCT01371253 | Ineligible participant population (only elderly Individuals, no stroke population) |
NCT02565407 | Ineligible study design (cross‐over assignment and no trunk training) |
NCT02654951 | Only trial registration was available (randomized cross‐over trial and no trunk training) |
NCT02753322 | Training in standing position |
NCT03234426 | Training mostly in standing position |
NCT03602326 | No trunk training |
NCT03757026 | Training in standing position |
NCT04042961 | Training in standing position |
NCT04491279 | Trunk training was embedded in broader therapy |
Nyffeler 2017 | No trunk training |
Oh 2016 | No trunk training |
Oh 2017 | Ineligible comparator |
PACTR201801002927119 | No trunk training |
PACTR201810717634701 | No trunk training (over‐ground task‐specific training activity which involved mobility‐related task‐specific exercises) |
Park 2014 | Ineligible outcomes (outcome on sway area and length) |
Park 2017 | Ineligible outcomes (only pulmonary function) |
Petrofsky 2005 | Ineligible study design (no RCT and other populations included: spinal cord injury and multiple sclerosis) |
Rajaratnam 2011 | Training in standing position |
Ramachandran 2016 | Training in standing position |
Rao 2013 | Ineligible participant population (osteoarthritis was also included in the analysis) |
Rasheeda 2017 | Ineligible outcomes (weight‐bearing on a weighing scale) |
Sánchez‐Sánchez 2018 | Trunk training was embedded in broader therapy |
Schmid 2015 | No trunk training (a standardised and progressive protocol was developed and included modified yoga postures, breathing, and relaxation in sitting, standing, and supine positions) |
Shah 2018 | Ineligible study design (not a randomised controlled trial) |
Shin JW 2016 | Training in standing position |
Shumway‐Cook 1988 | Ineligible participant population (also included healthy population) |
Singh 2002 | Training in standing position |
Song 2015 | Trunk training was embedded in broader therapy |
Sorinola 2018 | Ineligible study design (feasibility study, pre‐post design) |
Starke 2002 | Ineligible participant population (skull‐brain‐trauma: e.g. apoplexia, brain trauma, intracerebral haemorrhage) |
Subramanian 2007 | Ineligible participant population (stroke and healthy participants) |
Summa 2015 | Ineligible participant population (the study involved three stroke survivors and one with hemiplegia caused by a traumatic brain injury) |
Sung 2013 | Ineligible outcomes (temporospatial gait assessed using OptoGait and trunk muscles (abdominis and erector spinae on affected side) activity evaluated using surface electromyography during sit‐to‐stand and gait) |
Taylor‐Pilliae 2014 | No trunk training |
Teixeira 1998 | Ineligible study design (a single group pre‐ and post‐test group design) |
Thielman 2003 | No trunk training (training for upper extremities) |
Thielman 2013 | No intervention, only follow‐up measurement |
U1111‐1239‐3846 | No trunk training |
Ustinova 2002 | No trunk training (the participants stood on a force platform) |
Valdés 2018 | Ineligible study design (a randomised cross‐over trial) |
Walker 2000 | No trunk training (training stance symmetry) |
Wu 2001 | Ineligible study design (cross‐sectional) |
Yavuzer 2006 | No trunk training (balance training in standing position but no trunk training) |
Yelnik 2008 | Training mostly in standing position |
Yoo 2014 | Ineligible outcomes (muscle thickness) |
Zheng 2021 | No trunk training |
SMART: Specific, Measurable, Achievable, Realistic, and Timely
Characteristics of studies awaiting classification [ordered by study ID]
Deshmukh 2018.
Methods | RCT |
Participants | Not known |
Interventions | Not known |
Outcomes | Not known |
Notes | We contacted the authors by mail but have not yet received a response. |
Kim 2009.
Methods | RCT |
Participants | Inclusion criteria: acute and subacute hemiparetic stroke |
Interventions | Both groups received the same physical therapy for 3 weeks. Intervention: electrostimulation group received additional electrical stimulation over the posterior back muscles for 30 minutes a day, 5 days per week for 3 weeks. Comparator: standard care |
Outcomes | Primary outcome measures: Korean version of Berg Balance Scale, total score of Postural Assessment Scale for Stroke patients, trunk control subscale of Postural Assessment Scale for Stroke patients, Trunk Control Test, Korean version of modified Barthel Index, and the Motricity Index Secondary outcome measures: unknown |
Notes | We contacted the authors by mail but have not yet received a response. |
Liao 2006.
Methods | RCT |
Participants | Not known |
Interventions | Intervention: 30 minutes of high‐intensity trunk control training plus 15 minutes of low‐intensity conventional stroke rehabilitation (45 minutes, once per day for 5 days) Comparator: 45 minutes of low‐intensity conventional stroke rehabilitation, once per day for 5 days |
Outcomes | Primary outcome measures: trunk function by the Trunk Impairment Scale Secondary outcome measures: balance, mobility and functional independence, which were assessed by the Brunel Balance Assessment, the Modified Rivermead Mobility Index, and the modified Barthel Index |
Notes | We contacted the author through ResearchGate but have not yet received a response. |
Shen 2013.
Methods | RCT |
Participants | Not known |
Interventions | All the stroke patients got the same regulation rehabilitation treatments. Programmes of both groups were 30 minutes per day, 5 days per week for 4 weeks. Intervention: core‐stability training in addition to standard care Comparator: only standard care |
Outcomes | Primary outcome measures: Berg Balance Scale, Holden Walking Function Rating Scale, and footprint analysis were used to evaluate balance function and walking ability. Secondary outcome measures: none known |
Notes | We contacted the author through ResearchGate but have not yet received a response. |
Wang 2016.
Methods | RCT |
Participants | Inclusion criteria: stroke patients with Pusher syndrome |
Interventions | Participants were divided into 3 groups: visual feedback training (A), core‐stability training (B), visual feedback and core‐stability training (C) |
Outcomes | Primary outcome measures: the scale for contralateral pushing for severity of Pusher syndrome, the Berg Balance Scale for balance performance, and the Barthel Index for activities of daily living |
Notes |
Yan 2017.
Methods | RCT |
Participants | Not known |
Interventions | Both groups received other conventional rehabilitation treatment. Intervention: trunk control training using suspension technology Comparator: traditional trunk control training |
Outcomes | Primary outcome measures: trunk function by Trunk Control Test, walking ability by the Functional Ambulation Category Scale, balance by the Berg Balance Scale and 10‐Meter Maximum Walking Speed |
Notes | We contacted the authors by mail but have not yet received a response. |
Yoon 2020.
Methods | Randomised controlled trial |
Participants | Not known |
Interventions | Both groups received therapy for 30 minutes each per day, 3 days a week for 4 weeks. Intervention: dynamic neuromuscular stabilisation (16 participants) Comparator: neurodevelopmental treatment (15 participants) for 30 minutes each per day, 3 days a week for 4 weeks |
Outcomes | Primary outcome measures: diaphragm movement and abdominal muscle thickness were determined using ultrasonography. The Trunk Impairment Scale and Berg Balance Scale were used to measure postural control. The Functional Ambulation Category was used to evaluate gait ability. |
Notes | We contacted the author through ResearchGate but have not yet received a response. |
RCT: randomised controlled trial
Characteristics of ongoing studies [ordered by study ID]
ACTRN12617000452392.
Study name | Core muscles strengthening for balance and gait performance in individuals with chronic stroke |
Methods | RCT |
Participants | Inclusion criteria
Exclusion criteria
|
Interventions | Intervention: participants will receive 6 weeks of core muscle strengthening Comparator: standard care |
Outcomes | Primary outcomes: limits of stability by SMART Balance Master, spatial‐temporal gait parameters by GAITRite system, trunk muscle strength by hand‐held dynamometer |
Starting date | 10 November 2016 |
Contact information | Prof Wang, Ray‐Yau rywang@ym.edu.tw |
Notes | We contacted the authors by mail but have not yet received a response. |
CTRI201802011894.
Study name | Effect of proprioceptive neuromuscular facilitation and truncal exercises on trunk control and dynamic sitting balance in post stroke subjects |
Methods | RCT |
Participants | Inclusion criteria: 1. First onset of acute stroke patients, diagnosis confirmed by neurologist or physician and further referred to department of physiotherapy for stroke rehabilitation 2. Subjects with supratentorial lesion 3. MMSE score > 24 4. Trunk Control Test score equal to 100 Exclusion criteria: 1. Subjects with cerebellar and brainstem stroke 2. Subjects having other neurological disorders eg. Parkinson's disease 3.Subjects having general musculoskeletal conditions which is limiting subjects performance in the outcome measure/ treatment protocol 4. Subjects with hemi‐neglect, pushers syndrome, severe visual field defects and somato‐sensory deficit |
Interventions | Intervention 1: Propriceptive neuromascular facilitation for trunk control: proprioceptive neuromascular facilitation exercises includes diagonal pattern procedure and technique to stimulate proprioceptive sensation either to inhibit or to simulate specific muscle groups. Intervention 2: Proprioceptive neuromuscular facilitation (PNF): proprioceptive neuromuscular facilitation (PNF) approach includes specific diagonal pattern, procedure and techniques to stimulate proprioceptive sensation either to inhibit or to stimulate specific muscle groups. Control Intervention 1: Truncal excercises: exercises designed to improve trunk control by using stable and unstable surface |
Outcomes | Trunk Impairment Scale Function in sitting balance test to measure dynamic sitting balance Functional independence measure to measure the activity of daily living Patient global impression of change scale |
Starting date | |
Contact information | |
Notes |
CTRI201810016074.
Study name | Novel biofeedback on trunk and balance in acute hemiplegic patients |
Methods | Not known |
Participants | Not known |
Interventions | Not known |
Outcomes | Not known |
Starting date | Not known |
Contact information | Not known |
Notes | None |
Karthikbabu 2018b.
Study name | Can core‐stability training improve trunk strength and balance self‐confidence in chronic stroke? 12 months follow‐up |
Methods | RCT |
Participants | Not known |
Interventions | Not known |
Outcomes | Not known |
Starting date | Not known |
Contact information | Not known |
Notes | None |
NCT03503617.
Study name | RehabTouch home therapy for stroke patients |
Methods | RCT |
Participants | Inclusion criteria
Exclusion criteria
|
Interventions | Intervention: participants will perform targeted movement exercises by interacting with the RehabTouch pucks, as described and monitored on a computer. Participants will be asked to exercise at least 3 hours per week for 3 consecutive weeks. Comparator: conventional tabletop exercise programme: a traditional exercise programme described in a booklet similar to what is typically provided to stroke patients upon their discharge from the hospital. Participants will be asked to perform these exercises at least 3 hours per week for 3 consecutive weeks. |
Outcomes | Primary outcomes: change in Fugl‐Meyer Assessment Secondary outcomes: Action Research Activity Test (ARAT), standing balance by Berg Balance Test, trunk function by Trunk Impairment Scale, lower extremity Fugl‐Meyer Assessment, Timed Up and Go, 10‐Meter Walk Test, Motor Activity Log, Visual Analogue Scale, spasticity by the Modified Ashworth Scale |
Starting date | 1 November 2018 |
Contact information | Daniel Zondervan: dzondervan@flintrehab.com |
Notes |
NCT03811106.
Study name | Neuromuscular electrical stimulation (NMES) in stroke‐diagnosed individuals |
Methods | RCT |
Participants | Inclusion criteria
Exclusion criteria
|
Interventions | Intervention: NMES will be applied to the back muscles with the Chattanooga Intelect advanced device. In addition, conventional physiotherapy and rehabilitation applications will be made. Comparator: conventional physiotherapy and rehabilitation practices will be carried out. |
Outcomes | Primary outcomes: functional capacity and mobility, standing balance by the Brunnel Balance scale, motor function by Stroke Rehabilitation Assessment of Movement, functional capacity by Functional Ambulation Classficiation, balance states by the Adapated Patient Evaluation and Conference System, postural control by Postural Assessment Scale for Stroke, quality of life by Short Form‐36 (SF‐36), cognitive functions by the Mini Mental State Examination Test Secondary outcomes: none |
Starting date | 4 March 2019 |
Contact information | No contact details were provided. |
Notes |
NCT03975985.
Study name | The effectiveness of core‐stability exercises |
Methods | RCT |
Participants |
Inclusion criteria: first‐ever stroke and less than 30 days (diagnostic criteria according to the World Health Organization definition; corresponding to International Classification of Diseases (ICD)‐9 code 434) whether cortical or subcortical, and ischaemic or haemorrhagic; unilateral localisation of the stroke verified by computed tomography; ≥ 18 years old; ability to understand and execute simple instructions; Spanish version of Trunk Impairment Scale 2.0 less than10 points; National Institutes of Health Stroke Scale score > 4 points Exclusion criteria: Rankin scale ≥ 2 points before stroke; orthopaedic and other neurological disorders that hamper sitting balance; relevant psychiatric disorders that may prevent individual from following instructions; other treatments that could influence the effects of the interventions; contraindication to physical activity (e.g. heart failure); using cardiac pacemakers; moderate‐to‐severe cognitive impairments as indicated by Mini Mental State Examinsation test score < 24 points; people with haemorrhagic stroke who have undergone surgery |
Interventions | Intervention: core‐stability exercises (CSE) with transcutaneous electrical nerve stimulation and conventional therapy (CP) for 5 weeks. CSE are exercises focused on trunk muscle strengthening, proprioception, selective movements of the trunk and pelvis muscle, and co‐ordination, and will be carried out in supine, sitting on a stable surface and sitting on an unstable surface (physio ball). The exercise involves changes in the position of the body without resistance, aiming to improve strength, endurance, proprioception and co‐ordination. Transcutaneous electrical nerve stimulation (TENS): half of the participants assigned to CSE will also receive TENS (high frequency TENS 100 Hz; 0.2 ms pulse width), administered via TENS stimulator with two disposable 0.9 mm diameter electrodes placed on the skin over the lumbar erector spinae (3 cm lateral to the L3 and L5 spinous process). The common feature of conventional therapy is that it consists of a management by the physiotherapist. The CP may consist of a variety (or combination) of multiple components such as tone normalisation, exercises to maintain range of motion, passive mobilisation of hemiparetic side, postural control, gait re‐education to walking/standing between parallel bars or with a therapist, rehabilitation of the activities of daily living, etc. Comparator: core‐stability exercises (CSE) with conventional physiotherapy for 5 weeks |
Outcomes | Primary outcomes: dynamic sitting balance and trunk control by Spanish‐Trunk Impairment Scale 2.0 (S‐TIS 2.0), stepping by the Brunel Balance Assessment section 3 Secondary outcomes: sitting balance by the Spanish Function in Sitting Test, gait speed by the G‐walk (accelerometer, BTS Bioengineering), standing balance by the Berg Balance Scale, risk of falling by Spanish Postural Assessment Scale for Stroke, activities of daily living by modified Barthel Index, spasticity by the Modified Ashworth Scale, rate of falls, health‐related quality of life by the EuroQuol ‐ 5 dimension |
Starting date | 15 January 2020 |
Contact information | Rosa Cabanas‐Valdés; Rosacabanas@uic.es +34 93 504 20 00Rosa Cabanas‐Valdés |
Notes |
NCT03991390.
Study name | Effectiveness of balance exercise programme for stroke patients with Pusher Syndrome |
Methods | RCT |
Participants | Inclusion criteria
Exclusion criteria
|
Interventions | Intervention: this arm consists of 5 sessions per week, 60 minutes each. One session consists of 30 minutes of conventional physiotherapy and 30 minutes of core‐stability exercises and laser visual feedback exercises, on alternate days. All sessions will be performed by the same physiotherapist. Comparator: this arm consists of 5 sessions per week, 60 minutes each comprising usual physiotherapy treatment. All sessions will be performed by the same physiotherapist. |
Outcomes | Primary outcomes: contraversive pushing, lateropulsion by the Burke Lateropulsion Scale, balance by the Spanish Postural Assessment Scale for Stroke patients Secondary outcomes: quality of life by the Newcastle Stroke‐Specific Quality of Life Measure (NEWSQOL) |
Starting date | 20 November 2018 |
Contact information | Parc Sanitari Pere Virgili Abarrios@perevirgili.cat Universitat Internacional de Catalunya Phone number: 616243397 |
Notes |
NCT04440748.
Study name | Feasibility study and pilot RCT into the use of a novel technology to train sitting balance and trunk control |
Methods | RCT |
Participants | Inclusion criteria
Exclusion criteria
|
Interventions | Intervention: participants in the experimental group will perform additional high‐intensity therapy on the T‐Chair 2.0, which is a newly developed prototype to train trunk control and sitting balance. They will do this therapy in addition to their normal rehabilitation programme. Comparator: participants in the control group will execute their normal rehabilitation programme. |
Outcomes | Primary outcomes: feasibility parameters Secondary outcomes: trunk function by Trunk Impairment Scale, muscular strength of the lower extremities and trunk muscles, Fugl‐Meyer Assessment of lower extremities, sitting balance by Limits of Stability, walking capacity by Functional Ambulation Categories, Timed Up and Go, cognition by the Montreal Cognitive Assessment, unilateral spatial neglect by the Star Cancellation Tests |
Starting date | 1 September 2020 |
Contact information |
jan.kool@kliniken-valens.ch evelien.wiskerke@kuleuven.be |
Notes |
ARAT: Action Research Arm test CP: conventional therapy CSE: core‐stability exercises ICD: International Classification of Diseases NEWSQOL: Newcastle Stroke‐Specific Quality of Life Measure NMES: neuromuscular electrical stimulation PNF: Proprioceptive neuromuscular facilitation RCT: randomised controlled trial SF‐36: 36‐Item Short Form Survey SMART: Specific, Measurable, Achievable, Realistic, and Timely S‐TIS: Spanish‐Trunk Impairment Scale 2.0 TENS: transcutaneous electrical nerve stimulation
Differences between protocol and review
The protocol stated that review authors LT and SD would conduct the full‐text eligibility screening, data extraction, and quality assessment. However, LT and EV were the review authors who conducted this work.
Because interventions could have a lasting effect, we did not include cross‐over randomised controlled trials.
In the analysis of the different trunk training approaches, we made a clearer distinction between the intensity of the intervention arms. As a result, we split meta‐analysis into: (1) a meta‐analysis with no additional therapy (non‐dose‐matched) and (2) a meta‐analysis with same therapy amount in the control group (dose‐matched).
We performed additional sensitivity analyses considering the use of random‐effects models instead of fixed‐effect models, a sensitivity analysis where studies with high risk of bias were excluded, and one after excluding trials where the mean change score was calculated.
In the protocol, we stated that the overall effects of dichotomous data were calculated using a random‐effects model. In this review, however, we calculated effects using a fixed‐effects model.
We also created additional summary of findings tables for therapy amount and the additional sensitivity analysis.
We defined in the protocol phase post stroke as a potential modifier. Additionally, we expanded this term in this review to time post stroke, displayed in days.
Contributions of authors
Thijs L: wrote the protocol and review, designed search strategies, was involved in conducting the search strategy, screening title and abstract of publications, extracted trials and outcome data and assessed risk of bias.
Voets E: was involved in screening the title and abstract of publications, extracted trials and outcome data and assessed risk of bias, provided general advice, contributed to the conception and design of the review and approved the review.
Denissen S: provided general advice on the protocol and was involved in screening the titles identified by the search.
Mehrholz J: provided general advice, contributed to the conception and design of the review, evaluated risk of bias of one study and approved the review.
Bernhard E: provided general advice, contributed to the conception and design of the review, evaluated risk of bias of one study and approved the review.
Lemmens R: provided general advice, contributed to the conception and design of the review and approved the review.
Verheyden G: wrote the protocol and review, was involved in resolving conflicts when screening the title and abstract of publications, extracted trials and outcome data and assessed risk of bias.
All of the review authors interpreted the results and approved the manuscript.
Sources of support
Internal sources
No sources of support provided
External sources
-
RUN‐17‐00175, Belgium
KU Leuven internal funding
-
E! 11323, Other
EU Horizon 2020 Eurostars funding
-
HBC.2019.2579, Belgium
Baekeland grant
Declarations of interest
Thijs L: L. Thijs could be identified as the first author of an included study.
Voet E: E Voets could be identified as a co‐author of an included study.
Denissen S: none known
Mehrholz J: none known
Bernhard E: none known
Lemmens R: R Lemmens could be identified as a co‐author of an included study.
Verheyden G: G. Verheyden could be identified as the first author of an included study.
New
References
References to studies included in this review
An 2017 {published data only}
- An S-H, Park D-S. The effects of trunk exercise on mobility, balance and trunk control of stroke patients. Journal of Korean Academy of Rehabilitation Medicine 2017;12(1):25-33. [DOI: 10.13066/kspm.2017.12.1.25] [DOI] [Google Scholar]
Bae 2013 {published data only}
- Bae SH, Lee HG, Kim YE, Kim GY, Jung HW, Kim KY. Effects of trunk stabilization exercises on different support surfaces on the cross-sectional area of the trunk muscles and balance ability. Journal of Physical Therapy Science 2013;25(6):741-5. [DOI: 10.1589/jpts.25.741] [DOI] [PMC free article] [PubMed] [Google Scholar]
Bilek 2020 {published and unpublished data}
- Bilek F, Deniz G, Ercan Z, Cetisli Korkmaz N, Alkan G. The effect of additional neuromuscular electrical stimulation applied to erector spinae muscles on functional capacity, balance and mobility in post stroke patients. NeuroRehabilitation 2020;47(2):181-9. [DOI: 10.3233/NRE-203114] [DOI] [PubMed] [Google Scholar]
Büyükavcı 2016 {published and unpublished data}
- Büyükavcı R, Şahin F, Sağ S, Doğu B, Kuran B. The impact of additional trunk balance exercises on balance, functional condition and ambulation in early stroke patients: randomized controlled trial [Erken inmeli hastalarda gövde denge egzersizlerinin eklenmesinin gövde dengesi, fonksiyonel durum, gövde dengesi ve ambulasyona etkisi: Randomize-kontrollü çalışma]. Turkish Journal of Physical Medicine and Rehabilitation 2016;62(3):248-56. [Google Scholar]
- Büyükavci R, Iahin F, Saʇ S, Doʇu B, Kuran B. The effect of trunk balance training on motor recovery, trunk balance, ambulation and quality of life in subacute stroke patients: a randomized controlled trial. Turkish Journal of Physical Medicine and Rehabilitation 2011;57:270. [Google Scholar]
Cabanas‐Valdés 2016 {published data only}
- Cabanas-Valdés R, Bagur-Calafat C, Girabent-Farrés M, Caballero-Gómez FM, Hernández-Valiño M, Urrútia Cuchí G. The effect of additional core stability exercises on improving dynamic sitting balance and trunk control for subacute stroke patients: a randomized controlled trial. Clinical Rehabilitation 2016;30(10):1024-33. [DOI: 10.1177/0269215515609414] [DOI] [PubMed] [Google Scholar]
- Cabanas-Valdés R, Bagur-Calafat C, Girabent-Farres M, Caballero-Gomez FM, Du Port de Pontcharra-Serra H, German-Romero A, et al. Long-term follow-up of a randomized controlled trial on additional core stability exercises training for improving dynamic sitting balance and trunk control in stroke patients [with consumer summary]. Clinical Rehabilitation 2017;31(11):1492-9. [DOI] [PubMed] [Google Scholar]
- NCT01864382. "Core Stability" exercises to improve sitting balance in stroke patients. clinicaltrials.gov/ct2/show/NCT01864382 (first received 29 May 2013).
Cano‐Mañas 2020 {published data only}
- Cano-Manas MJ, Collado-Vazquez S, Rodriguez Hernandez J, Munoz Villena AJ, Cano-De-La-Cuerda R. Effects of video-game based therapy on balance, postural control, functionality, and quality of life of patients with subacute stroke: a randomized controlled trial. Journal of Healthcare Engineering 2020;2020:1-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
Chan 2015 {published data only}
- Chan BK, Ng SS, Ng GY. A home-based program of transcutaneous electrical nerve stimulation and task-related trunk training improves trunk control in patients with stroke: a randomized controlled clinical trial. Neurorehabilitation and Neural Repair 2015;29(1):70-9. [DOI: 10.1177/1545968314533612] [DOI] [PubMed] [Google Scholar]
- Chan BK, Ng SS, Ng GY. Transcutaneous electrical nerve stimulation (TENS) enhances the effect of task-related trunk training (TRTT) on trunk control and walking function in subjects with chronic stroke. Cerebrovascular Diseases 2013;36 Suppl 1:17. [Google Scholar]
Chen 2020 {published data only}
- Chen X, Gan Z, Tian W, Lv Y. Effects of rehabilitation training of core muscle stability on stroke patients with hemiplegia. Pakistan Journal of Medical Sciences 2020;36(3):461-6. [DOI: 10.12669/pjms.36.3.1466] [DOI] [PMC free article] [PubMed] [Google Scholar]
Chitra 2015 {published data only}
- Chitra J, Sharan R. A comparative study on the effectiveness of core stability exercise and pelvic proprioceptive neuromuscular facilitation on balance, motor recovery and function in hemiparetic patients: a randomized clinical trial. Romanian Journal of Physical Therapy 2015;21(36):12-8. [Google Scholar]
Choi 2014 {published data only}
- Choi SJ, Shin WS, Oh BK, Shim JK, Bang DH. Effect of training with whole body vibration on the sitting balance of stroke patients. Journal of Physical Therapy Science 2014;26(9):1411-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
Chung 2013 {published data only}
- Chung EJ, Kim JH, Lee B-H. The effects of core stabilization exercise on dynamic balance and gait function in stroke patients. Journal of Physical Therapy Science 2013;25(7):803-6. [DOI: 10.1589/jpts.25.803] [DOI] [PMC free article] [PubMed] [Google Scholar]
Chung 2014 {published data only}
- Chung E, Lee BH, Hwang S. Core stabilization exercise with real-time feedback for chronic hemiparetic stroke: a pilot randomized controlled trials. Restorative Neurology and Neuroscience 2014;32(2):313-21. [DOI: 10.3233/RNN-130353] [DOI] [PubMed] [Google Scholar]
Dean 1997 {published and unpublished data}
- Dean CM, Shepherd RB, Adams R. The effect of specific balance training in sitting on support and balance through the lower limbs following stroke. In: National Physiotherapy Congress; 1996. 1996:148-9.
- Dean CM, Shepherd RB. Task-related training improves performance of seated reaching tasks after stroke. Stroke 1997;28:722-8. [DOI] [PubMed] [Google Scholar]
Dean 2007 {published and unpublished data}
- Dean CM, Channon EF, Hall J. The efficacy of a protocol to train sitting balance early after stroke: a randomised trial. Internal Medicine Journal 2004;34(1/2):A7. [Google Scholar]
- Dean CM, Channon EF, Hall JM. Sitting training early after stroke improves sitting ability and quality and carries over to standing up but not to walking: a randomised controlled trial. Australian Journal of Physiotherapy 2007;53:97-102. [DOI] [PubMed] [Google Scholar]
DeLuca 2020 {published and unpublished data}
- De Luca A, Squeri V, Barone LM, Vernetti Mansin H, Ricci S, Pisu I, et al. Dynamic stability and trunk control improvements following robotic balance and core stability training in chronic stroke survivors: a pilot study. Frontiers in Neurology 2020;11:494. [DOI: ] [DOI] [PMC free article] [PubMed] [Google Scholar]
De Sèze 2001 {published data only}
- De Sèze M, Wiart L, Bon-Saint-Côme A, Debelleix X, Joseph PA, Mazaux JM, et al. Rehabilitation of postural disturbances of hemiplegic patients by using trunk control retraining during exploratory exercises. Archives of Physical Medicine and Rehabilitation 2001;82(6):793-800. [DOI: 10.1053/apmr.2001.0820793] [DOI] [PubMed] [Google Scholar]
Dubey 2018 {published data only}
- Dubey L, Karthikbabu S, Mohan D. Effects of pelvic stability training on movement control, hip muscles strength, walking speed and daily activities after stroke: a randomized controlled trial. Annals of Neurosciences 2018;25(2):80-9. [DOI: 10.1159/000486273] [DOI] [PMC free article] [PubMed] [Google Scholar]
El‐Nashar 2019 {published data only}
- El-Nashar H, ElWishy A, Helmy H, El-Rwainy R. Do core stability exercises improve upper limb function in chronic stroke patients? Egyptian Journal of Neurology, Psychiatry and Neurosurgery 2019;55:38-47. [DOI: ] [Google Scholar]
Fujino 2016 {published and unpublished data}
- Fujino Y, Amimoto K, Fukata K, Ishihara S, Makita S, Takahashi H. Does training sitting balance on a platform tilted 10 degrees to the weak side improve trunk control in the acute phase after stroke? A randomized, controlled trial. Topics in Stroke Rehabilitation 2016;23(1):43-9. [DOI] [PubMed] [Google Scholar]
Fukata 2019 {published and unpublished data}
- Fukata K, Amimoto K, Inoue M, Sekine D, Fujino Y, Makita S, et al. Effects of diagonally aligned sitting training with a tilted surface on sitting balance for low sitting performance in the early phase after stroke: a randomised controlled trial. Disability and Rehabilitation 2019;12:1-9. [DOI: 10.1080/09638288.2019.1688873] [DOI] [PubMed] [Google Scholar]
Haruyama 2017 {published and unpublished data}
- Haruyama K, Kawakami M, Otsuka T. Effect of core stability training on trunk function, standing balance, and mobility in stroke patients. Neurorehabilitation and Neural Repair 2017;31(3):240-9. [DOI: 10.1177/1545968316675431] [DOI] [PubMed] [Google Scholar]
Jung 2014 {published data only}
- Jung K, Kim Y, Chung Y, Hwang S. Weight-shift training improves trunk control, proprioception, and balance in patients with chronic hemiparetic stroke. Tohoku Journal of Experimental Medicine 2014;232(3):195-9. [DOI: 10.1620/tjem.232.195] [DOI] [PubMed] [Google Scholar]
Jung 2016a {published data only}
- Jung KS, Jung JH, In TS, Cho HY. Effects of weight-shifting exercise combined with transcutaneous electrical nerve stimulation on muscle activity and trunk control in patients with stroke. Occupational Therapy International 2016;23(4):436‐43. [DOI: 10.1002/oti.1446] [DOI] [PubMed] [Google Scholar]
Jung 2016b {published data only}
- Jung KS, Cho HY, In TS. Trunk exercises performed on an unstable surface improve trunk muscle activation, postural control, and gait speed in patients with stroke. Journal of Physical Therapy Science 2016;28(3):940-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
Jung 2017 {published data only}
- Jung S, Lee K, Kim M, Song C. Audiovisual biofeedback-based trunk stabilization training using a pressure biofeedback system in stroke patients: a randomized, single-blinded study. Stroke Research And Treatment 2017;2017:1-11. [DOI: 10.1155/2017/6190593] [DOI] [PMC free article] [PubMed] [Google Scholar]
Karthikbabu 2011 {published data only}
- Karthikbabu S, Nayak A, Vijayakumar K, Misri ZK, Suresh BV, Ganesan S, et al. Comparison of physio ball and plinth trunk exercises regimens on trunk control and functional balance in patients with acute stroke: a pilot randomized controlled trial [with consumer summary]. Clinical Rehabilitation 2011;25(8):709-19. [DOI] [PubMed] [Google Scholar]
Karthikbabu 2018a {published data only}
- Karthikbabu S, Chakrapani M, Ganesan S, Ellajosyula R, Solomon JM. Efficacy of trunk regimes on balance, mobility, physical function, and community reintegration in chronic stroke: a parallel-group randomized trial. Journal of Stroke and Cerebrovascular Diseases 2018;27(4):1003-11. [DOI: 10.1016/j.jstrokecerebrovasdis.2017.11.003] [DOI] [PubMed] [Google Scholar]
- Karthikbabu S. Benefits of treating trunk on strength and community participation in late stage stroke. www.ctri.nic.in (first received 17th April 2017).
Karthikbabu 2021 {published and unpublished data}
- Karthikbabu S, Ganesan S, Ellajosyula R, Solomon J, Rakshith K, Chakrapani M. Core stability exercises yield multiple benefits for patients with chronic stroke – randomized controlled trial. American Journal of Physical Medicine & Rehabilitation 2021;17:1-25. [DOI: doi: 10.1097/PHM.0000000000001794] [DOI] [PubMed] [Google Scholar]
Kilinç 2016 {published and unpublished data}
- Kılınç M, Avcu F, Onursal O, Ayvat E, Savcun Demirci C, Aksu Yildirim S. The effects of Bobath-based trunk exercises on trunk control, functional capacity, balance, and gait: a pilot randomized controlled trial. Topics in Stroke Rehabilitation 2016;23(1):50-8. [DOI: 10.1179/1945511915Y.0000000011] [DOI] [PubMed] [Google Scholar]
Kim 2011 {published data only}
- Kim Y, Kim E, Gong W. The effects of trunk stability exercise using PNF on the functional reach test and muscle activities of stroke patients. Journal of Physical Therapy Science 2011;23(5):699-702. [DOI: ] [Google Scholar]
Ko 2016 {published and unpublished data}
- Ko EJ, Chun MH, Kim DY, Yi JH, Kim W, Hong J. The additive effects of core muscle strengthening and trunk NMES on trunk balance in stroke patients. Annals of Rehabilitation Medicine 2016;40(1):142-51. [DOI: 10.5535/arm.2016.40.1.142] [DOI] [PMC free article] [PubMed] [Google Scholar]
Kumar 2011 {published data only}
- Kumar V, Babu K, Nayak A. Additional trunk training improves sitting balance following acute stroke: a pilot randomized controlled trial. International Journal of Current Research and Review 2011;2(3):26-43. [Google Scholar]
Lee 2012 {published data only}
- Lee YW, Lee JH, Shin SS, Lee SW. The effect of dual motor task training while sitting on trunk control ability and balance of patients with chronic stroke. Journal of Physical Therapy Science 2012;24(4):345-9. [Google Scholar]
Lee 2014a {published data only}
- Lee JS, Lee HG. Effects of sling exercise therapy on trunk muscle activation and balance in chronic hemiplegic patients. Journal of Physical Therapy Science 2014;26(5):655-9. [DOI: ] [DOI] [PMC free article] [PubMed] [Google Scholar]
Lee 2014b {published data only}
- Lee C-H, Kim Y, Lee B-L. Augmented reality-based postural control training improves gait function in patients with stroke: randomized controlled trial. Hong Kong Physiotherapy Journal 2014;32:51-7. [Google Scholar]
Lee 2016a {published data only}
- Lee M. Canoe game-based virtual reality training to improve postural stability of trunk, balance, and upper limb motor function in subacute stroke: a randomized controlled trial. Journal of Physical Therapy Science 2016;28(7):2019-24. [DOI] [PMC free article] [PubMed] [Google Scholar]
Lee 2017a {published data only}
- Lee JH, Kim SB, Lee KW, Lee SJ, Park H, Kim DW. The effect of a whole-body vibration therapy on the sitting balance of subacute stroke patients: a randomized controlled trial. Topics in Stroke Rehabilitation 2017;24(6):457-62. [DOI: 10.1080/10749357.2017.1305655] [DOI] [PubMed] [Google Scholar]
Lee 2017b {published data only}
- Lee J-H, Choi J-D. The effects of upper extremity task training with symmetric abdominal muscle contraction on trunk stability and balance in chronic stroke patients. Journal of Physical Therapy Science 2017;29(3):495-7. [DOI: ] [DOI] [PMC free article] [PubMed] [Google Scholar]
Lee 2020a {published data only}
- Lee P-Y, Huang J-C, Tseng H-Y, Yang Y-C, Lin S-I. Effects of trunk exercise on trunk control and balance in persons with stroke. International Journal of Environmental Research and Public Health 2020;17:9135-47. [DOI: 10.3390/ijerph17239135] [DOI] [Google Scholar]
- NCT04434443. Effects of trunk exercise on trunk control and balance in persons with stroke. clinicaltrials.gov/ct2/show/NCT04434443 (first received 16 June 2020).
Lee 2020b {published data only}
- Lee J, Jeon J, Lee D, Hong J, Yu J, Kim J. Effect of trunk stabilization exercise on abdominal muscle thickness, balance and gait abilities of patients with hemiplegic stroke: a randomized controlled trial. NeuroRehabilitation 2020;47(4):435-42. [DOI: 10.3233/NRE-203133] [DOI] [PubMed] [Google Scholar]
Lee MM 2018 {published data only}
- Lee MM, Lee KJ, Song CH. Game-based virtual reality canoe paddling training to improve postural balance and upper extremity function: a preliminary randomized controlled study of 30 patients with subacute stroke. Medical Science Monitor 2018;24:2590-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
Liu 2020 {published data only}
- Liu J, Feng W, Zhou J, Huang F, Long L, Wang Y, et al. Effects of sling exercise therapy on balance, mobility, activities of daily living, quality of life and shoulder pain in stroke patients: a randomized controlled trial. European Journal of Integrative Medicine 2020;35:1-7. [DOI: 10.1016/j.eujim.2020.101077] [ID 101077] [DOI] [Google Scholar]
Marzouk 2019 {published data only}
- Marzouk MH, El-Tamawy MS, Darwish MH, Khalifa HA, Al-Azab IM. Effect of pelvic control exercises on pelvic asymmetry and spatiotemporal gait parameter in stroke patients. Medical Journal of Cairo University 2019;87(2):935-9. [Google Scholar]
Merkert 2011 {published data only}
- Merkert J, Butz S, Nieczaj R, Steinhagen-Thiessen E, Eckardt R. Combined whole body vibration and balance training using Vibrosphere R: improvement of trunk stability, muscle tone, and postural control in stroke patients during early geriatric rehabilitation. Zeitschrift fur Gerontologie und Geriatrie 2011;44(4):256-61. [DOI: ] [DOI] [PubMed] [Google Scholar]
Mudie 2002 {published data only}
- Mudie MH, Winzeler-Mercay U, Radwan S, Lee L. Training symmetry of weight distribution after stroke: a randomized controlled pilot study comparing task-related reach, Bobath and feedback training approaches. Clinical Rehabilitation 2002;16:582-92. [DOI] [PubMed] [Google Scholar]
Park 2013 {published data only}
- Park J, Lee S, Lee J, Lee D. The effects of horseback riding simulator exercise on postural balance of chronic stroke patients. Journal of Physical Therapy Science 2013;25:1169-72. [DOI: 10.1589/jpts.25.1169] [DOI] [PMC free article] [PubMed] [Google Scholar]
Park 2018a {published data only}
- Park M, Seok H, Kim SH, Noh K, Lee SY. Comparison between neuromuscular electrical stimulation to abdominal and back muscles on postural balance in post-stroke hemiplegic patients. Annals of Rehabilitation Medicine 2018;42(5):652-9. [DOI: 10.5535/arm.2018.42.5.652] [DOI] [PMC free article] [PubMed] [Google Scholar]
Park 2018b {published data only}
- Park SJ, Cho KH, Kim SH. The effect of chest expansion exercise with TENS on gait ability and trunk control in chronic stroke patients. Journal of Physical Therapy Science 2018;30(5):697-9. [DOI: 10.1589/jpts.30.697] [DOI] [PMC free article] [PubMed] [Google Scholar]
Park 2020 {published data only}
- Park SJ, Oh S. Effect of diagonal pattern training on trunk function, balance, and gait in stroke patients. Applied Sciences 2020;10(13):4635. [DOI: ] [Google Scholar]
Park J 2017 {published data only}
- Park J, Gong J, Yim J. Effects of a sitting boxing program on upper limb function, balance, gait, and quality of life in stroke patients. NeuroRehabilitation 2017;40(1):77-86. [DOI] [PubMed] [Google Scholar]
Rangari 2020 {published data only}
- Rangari SS, Qureshi MI, Samal SN. Efficacy of core strengthening exercises on swissball versus mat exercises for improving trunk balance in hemiplegic patients following stroke. Indian Journal of Public Health Research and Development 2020;11(4):407-11. [Google Scholar]
Renald 2016 {published data only}
- Renald SF, Regan JR. Efficacy of trunk exercises on Swiss ball versus bed in improving trunk control in hemiparetic patients. International Journal of Physiotherapy and Research 2016;4(2):1444-50. [DOI: 10.16965/ijpr.2016.115] [DOI] [Google Scholar]
Saeys 2012 {published and unpublished data}
- Saeys W, Vereeck L, Truijen S, Lafosse C, Wuyts FP, Van De Heyning P. Randomized controlled trial of truncal exercises early after stroke to improve balance and mobility. Neurorehabilitation and Neural Repair 2012;26(3):231-8. [DOI: 10.1177/1545968311416822] [DOI] [PubMed] [Google Scholar]
Sarwar 2019 {published data only}
- Sarwar R, Faizan M, Ahmed U, Waqas M. Effects of unstable and stable trunk exercise programs on trunk motor performance, balance and functional mobility in stroke patients. Rawal Medical Journal 2019;44(1):20-3. [Google Scholar]
Seo 2012 {published data only}
- Seo DK, Kwon OS, Kim JH, Lee DY. The effect of trunk stabilization exercise on the thickness of the deep abdominal muscles and balance in patients with chronic stroke. Journal of Physical Therapy Science 2012;24(2):181-5. [Google Scholar]
Shah 2016 {published and unpublished data}
- Shah P, Karthikbabu S, Syed N, Ratnavalli E. Effects of truncal motor imagery practice on trunk performance, functional balance, and daily activities in acute stroke. Journal of the Scientific Society 2016;43(3):127-34. [DOI: ] [Google Scholar]
Sharma 2017 {published data only}
- Sharma V, Kaur J. Effect of core strengthening with pelvic proprioceptive neuromuscular facilitation on trunk, balance, gait, and function in chronic stroke. Journal of Exercise Rehabilitation 2017;13(2):200-5. [DOI: 10.12965/jer.1734892.446] [DOI] [PMC free article] [PubMed] [Google Scholar]
Sheehy 2020 {published data only}
- Sheehy L, Taillon-Hobson A, Sveistrup H, Bilodeau M, Yang C, Finestone H. Sitting balance exercise performed using virtual reality training on a stroke rehabilitation inpatient service: a randomized controlled study. PM & R : the Journal of Injury, Function, and Rehabilitation 2020;12(8):754-65. [DOI: ] [DOI] [PubMed] [Google Scholar]
Shim 2020 {published data only}
- Shim J, Hwang S, Ki K, Woo Y. Effects of EMG-triggered FES during trunk pattern in PNF on balance and gait performance in persons with stroke. Restorative Neurology and Neuroscience 2020;38:141-50. [DOI: 10.3233/RNN-190944] [DOI] [PubMed] [Google Scholar]
Shin 2016 {published data only}
- Shin DC, Song CH. Smartphone-based visual feedback trunk control training using a gyroscope and mirroring technology for stroke patients. American Journal of Physical Medicine & Rehabilitation 2016;95(5):319-29. [DOI: 10.1097/PHM.0000000000000447] [DOI] [PubMed] [Google Scholar]
Sun 2016 {published data only}
- Sun X, Gao Q, Dou H, Tang S. Which is better in the rehabilitation of stroke patients, core stability exercises or conventional exercises? Journal of Physical Therapy Science 2016;28(4):1131-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
Thijs 2021 {published and unpublished data}
- NCT04467554. Providing sitting balance training with a newly developed rehabilitation device. clinicaltrials.gov/ct2/show/NCT04467554 (first received 13 July 2020).
- Thijs L, Voets E, Wiskerke E, Nauwelaerts T, Arys Y, Haspeslagh H, et al. Technology-supported sitting balance therapy versus usual care in the chronic stage after stroke: a pilot randomized controlled trial. Journal of NeuroEngineering and Rehabilitation 2021;18:120-35. [DOI: ] [DOI] [PMC free article] [PubMed] [Google Scholar]
Van Criekinge 2020 {published data only}
- Van Criekinge T, Hallemans A, Herssens N, Lafosse C, Claes D, De Hertogh W, et al. SWEAT2 Study: effectiveness of trunk training on gait and trunk kinematics after stroke - a randomized controlled trial. Physical Therapy 2020;100:1568-81. [DOI: 10.1093/ptj/pzaa110] [DOI] [PubMed] [Google Scholar]
Varshney 2019 {published data only}
- Varshney V, Gupta N. Unstable surface is more effective than stable surface to improve trunk control in post-stroke patients. Indian Journal of Physiotherapy & Occupational Therapy 2019;13(4):160-4. [DOI: 10.5958/0973-5674.2019.00153.9] [DOI] [Google Scholar]
Verheyden 2009 {published data only}
- Verheyden G, Vereeck L, Truijen S, Troch M, Lafosse C, Saeys W, et al. Additional exercises improve trunk performance after stroke: a pilot randomized controlled trial. Neurorehabilitation and Neural Repair 2009;23(3):281-6. [DOI: 10.1177/1545968308321776] [DOI] [PubMed] [Google Scholar]
Viswaja 2015 {published data only}
- Viswaja K, Pappala KP, Tulasi PRS, Apparao P. Effectiveness of trunk training exercises versus Swiss ball exercises for improving sitting balance and gait parameters in acute stroke subjects. International Journal of Physiotherapy 2015;2(6):925-32. [Google Scholar]
Yoo 2010 {published data only}
- Yoo SD, Jeong YS, Kim DH, Lee MA, Noh SG, Shin YW. The efficacy of core strengthening on the trunk balance in patients with subacute stroke. Journal of Korean Academy of Rehabilitation Medicine 2010;34(6):677-82. [Google Scholar]
Yu 2013 {published data only}
- Yu S-H, Park S-D. The effects of core stability strength exercise on muscle activity and trunk impairment scale in stroke patients. Journal of Exercise Rehabilitation 2013;9(3):362-7. [DOI: ] [DOI] [PMC free article] [PubMed] [Google Scholar]
References to studies excluded from this review
ACTRN12608000457347 {published data only}
- ACTRN12608000457347. The efficacy of a novel, non-robotic intervention to train reaching post stroke. www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=83061&isReview=true (first received 12 August 2008).
Awad 2015 {published data only}
- Awad A, Shaker H, Shendy W. Effect of shoulder girdle strengthening on trunk alignment in patients with stroke. Journal of Physical Therapy Science 2015;101:2195–200. [DOI: 10.1016/j.physio.2015.03.1320] [DOI] [PMC free article] [PubMed] [Google Scholar]
Baek 2015 {published data only}
- Baek IH, Kim BJ. The effects of horse riding simulation training on stroke patients' balance ability and abdominal muscle thickness changes. Journal of Physical Therapy Science 2015;26(8):1293-6. [DOI: ] [DOI] [PMC free article] [PubMed] [Google Scholar]
Barker 2008 {published data only}
- Barker RN, Brauer SG, Carson RG. Training of reaching in stroke survivors with severe and chronic upper limb paresis using a novel nonrobotic device. A randomized clinical trial. Stroke 2008;39:1800-7. [DOI] [PubMed] [Google Scholar]
Bonan 2002 {published data only}
- Bonan I, Yelnik A, Colle F, Guichard JP, Vicaut E, Eisenfisz M. Effectiveness of a balance rehabilitation programme with visual cue deprivation after stroke: a randomized controlled trial. Clinical Rehabilitation 2002;16:808-9. [Google Scholar]
Bower 2014 {published data only}
- Bower KJ, Clark RA, McGinley JL, Martin CL, Miller KJ. Clinical feasibility of the Nintendo Wii for balance training post-stroke: a phase II randomized controlled trial in an inpatient setting. Clinical Rehabilitation 2014;28(9):912-23. [DOI] [PubMed] [Google Scholar]
- Bower KJ, Clark RA, McGinley JL, Martin CL, Miller KJ. Feasibility and efficacy of the Nintendo Wii gaming system to improve balance performance post-stroke: protocol of a phase II randomized controlled trial in an inpatient rehabilitation setting. Games for Health Journal 2013;2(2):103-8. [DOI] [PubMed] [Google Scholar]
Brogardh 2012 {published data only}
- Brogardh C, Flansbjer UB, Lexell J. No specific effect of whole-body vibration training in chronic stroke: a double-blind randomized controlled study. Neurorehabilitation and Neural Repair 2012;26(6):764. [DOI] [PubMed] [Google Scholar]
Cekok 2016 {published data only}
- Cekok K, Tarsuslu Simsek T. The effect of Nintendo Wii games on balance and upper extremity functions in patients with stroke. Fizyoterapi Rehabilitasyon 2016;27(2):61-71. [Google Scholar]
Chen 2008 {published data only}
- Chen H, Lin K, Chen C, Wu C. The beneficial effects of a functional task target on reaching and postural balance in patients with right cerebral vascular accidents. Motor Control 2008;12:122-35. [DOI] [PubMed] [Google Scholar]
ChiCTR1800020170 {published data only}
- ChiCTR1800020170. Effect of modified Liuzijue on respiratory muscle function and trunk control in subacute stroke patients. www.cochranelibrary.com/central/doi/10.1002/central/CN-01947215/full (first received 19 December 2018).
Cho 2020 {published data only}
- Cho Y-H, Cho K-H, Park S-J. Effects of trunk rehabilitation with kinesio and placebo taping on static and dynamic sitting postural control in individuals with chronic stroke: a randomized controlled trial. Topics in Stroke Rehabilitation 2020;27:610-9. [DOI: 10.1080/10749357.2020.1747672] [DOI] [PubMed] [Google Scholar]
Cirstea 2007 {published data only}
- Cirstea MC, Levin MF. Improvement of arm movement patterns and endpoint control depends on type of feedback during practice in stroke survivors. Neurorehabilitation and Neural Repair 2007;21(5):398-411. [DOI: 10.1177/1545968306298414] [DOI] [PubMed] [Google Scholar]
CTRI/2018/01/011543 {published data only}
- CTRI/2018/01/011543. Efficacy of task-oriented training approach on trunk and hip musculature to improve balance in stroke subjects: a randomised controlled trial. ctri.nic.in/Clinicaltrials/pmaindet2.php?trialid=22039 (first received 24 January 2018).
Da Silva Ribeiro 2015 {published data only}
- Da Silva Ribeiro NM, Ferraz DD, Pedreira E, Pinheiro I, Da Silva Pinto AC, Neto MG, et al. Virtual rehabilitation via Nintendo Wii and conventional physical therapy effectively treat post-stroke hemiparetic patients. Topics in Stroke Rehabilitation 2015;22(4):299-305. [DOI] [PubMed] [Google Scholar]
Dell'Uomo 2017 {published data only}
- Dell’Uomo D, Morone G, Centrella A, Paolucci S, Caltagirone C, Grasso MG, et al. Effects of scapulohumeral rehabilitation protocol on trunk control recovery in patients with subacute stroke: a randomized controlled trial. NeuroRehabilitation 2017;40(3):337-43. [DOI: ] [DOI] [PubMed] [Google Scholar]
De Luca 2018 {published data only}
- De Luca R, Russo M, Naro A, Tomasello P, Leonardi S, Santamaria F, et al. Effects of virtual reality-based training with BTs-Nirvana on functional recovery in stroke patients: preliminary considerations. International Journal of Neuroscience 2018;128(9):791-6. [DOI: 10.1080/00207454.2017.1403915] [DOI] [PubMed] [Google Scholar]
Dursun 1996 {published data only}
- Dursun E, Hamamci N, Donmez S, Tuzunalp O, Cakci A. Angular biofeedback device for sitting balance of stroke patients. Stroke 1996;27(8):1354-7. [DOI: ] [DOI] [PubMed] [Google Scholar]
Foley 2004 {published data only}
- Foley SM, O'Sullivan PS, Means KM. Postexercise outcome: does exercise affect functional obstacle course performance in stroke patients? American Journal of Physical Medicine and Rehabilitation 2004;83:249. [Google Scholar]
Fujino 2012 {published data only}
- Fujino Y, Amimoto K, Koizumi Y, Fukata K, Sato D, Togano Y, et al. Immediate effects of sitting training on a tilting platform in the early post stroke period: analysis of EMG and motion of the trunk. Rigakuryoho Kagaku 2012;27(4):451-5. [Google Scholar]
Glick 1997 {published data only}
- Glick J, Van Horn M, Geerhart K, Sirotnak N, Kinney LaPier T. Effects of voluntary weight shifting on lower extremity weight distribution in adults with hemiparesis. Neurology Report 1997;21(5):181-2. [Google Scholar]
Guillén‐Solà 2017 {published data only}
- Guillén-Solà A, Messagi Sartor M, Bofill Soler N, Duarte E, Barrera Mª C, Marco E. Respiratory muscle strength training and neuromuscular electrical stimulation in subacute dysphagic stroke patients: a randomized controlled trial. Clinical Rehabilitation 2017;31(6):761-71. [DOI: 10.1177/0269215516652446] [DOI] [PubMed] [Google Scholar]
Ha 2020 {published data only}
- Ha S-Y, Sung Y-H. Attentional concentration during physiotherapeutic intervention improves gait and trunk control in patients with stroke. Neuroscience Letters 2020;736:135291. [DOI: ] [DOI] [PubMed] [Google Scholar]
Hancock 2017 {published data only}
- Hancock NJ, Shepstone L, Rowe P, Myint PK, Pomeroy VM. Towards upright pedalling to drive recovery in people who cannot walk in the first weeks after stroke: movement patterns and measurement. Physiotherapy 2017;103(4):400-6. [DOI: ] [DOI] [PubMed] [Google Scholar]
Hirokawa 2013 {published data only}
- Hirokawa T, Matsumoto S, Uema T, Tomokazu N, Sameshima J. Effects of intensive repetition of trunk muscle facilitation on motor functional recovery after stroke: a randomized controlled trial. Journal of the Japanese Physical Therapy Association 2013;40(7):457-64. [Google Scholar]
Hsieh 2019 {published data only}
- Hsieh HC. Use of a gaming platform for balance training after a stroke: a randomized trial. Archives of Physical Medicine and Rehabilitation 2019;100(4):591-7. [DOI: 10.1016/j.apmr.2018.11.001] [DOI] [PubMed] [Google Scholar]
ISRCTN14335555 {published data only}
- ISRCTN14335555. Wii balance training in stroke patients. www.isrctn.com/ISRCTN14335555 (first received 12 April 2018). [DOI: 10.1186/ISRCTN14335555] [DOI]
ISRCTN20398227 {published data only}
- ISRCTN20398227. The effects of whole body vibration on balance and physical performance in the older people with chronic stroke. www.isrctn.com/ISRCTN20398227 (first received 3 August 2018).
Jung 2018 {published data only}
- Jung K-M. Effects of whole body tilt exercise with visual feedback on trunk control, strength, and balance in patients with acute stroke: a randomized controlled pilot study. Journal of the Korean Society of Physical Medicine 2018;13(4):75-84. [Google Scholar]
Kal 2019 {published data only}
- Kal E, Houdijk H, Van der Kamp J, Verhoef M, Prosée R, Groet E, et al. Are the effects of internal focus instructions different from external focus instructions given during balance training in stroke patients? A double-blind randomized controlled trial. Clinical Rehabilitation 2019;33(2):207-21. [DOI] [PubMed] [Google Scholar]
Kim 2008 {published data only}
- Kim DH, Yi TI, Kim JS, Park JS, Lee JH, Gu HG. The effects of isokinetic strengthening of trunk muscles on balance in hemiplegic patients. Journal of Korean Academy of Rehabilitation Medicine 2008;32(3):280-4. [Google Scholar]
Kim HY 2018 {published data only}
- Kim HY, Moon HI, Chae YH, Yi TI. Investigating the dose-related effects of video game trunk control training in chronic stroke patients with poor sitting balance. Annals of Rehabilitation Medicine 2018;42(4):514-20. [DOI: ] [DOI] [PMC free article] [PubMed] [Google Scholar]
Kim JC 2018 {published data only}
- Kim JC, Lee HM. The effect of action observation training on balance and sit to walk in chronic stroke: a crossover randomized controlled trial. Journal of Motor Behavior 2018;50(4):373-80. [DOI] [PubMed] [Google Scholar]
Koneva 2018 {published data only}
- Koneva ES, Timashkova GV, Shapovalenko TV, Lyadov KV. Functional spatially-oriented rehabilitation of elderly patients after cerebral stroke. Research Journal of Pharmaceutical Biological and Chemical Sciences 2018;9(5):2232-8. [Google Scholar]
Kozol 2010 {published data only}
- Kozol MZ, Filer M, Ring H. Bridging performance of adults with hemiparesis: sliding of the paretic limb. Journal of Geriatric Physical Therapy 2010;33(1):26-33. [PubMed] [Google Scholar]
Krishna 2018 {published data only}
- Krishna KR, Sangeetha G. Carryover effect of compelled body weight shift technique to facilitate rehabilitation of individuals with stroke - an assessor blinded randomized controlled trial. International Journal of Pharma and Biosciences 2018;9(2):B245-62. [Google Scholar]
Kulkarni 2018 {published data only}
- Kulkarni TN, Karajgi AK, Pandit U. Comparison between virtual reality training using x-box 360 kinect and conventional physiotherapy on trunk, postural control and quality of life. In: 10th World Congress for NeuroRehabilitation, 2018. Vol. 4-5. 2018:491. [DOI: 10.1177/1545968318765498] [DOI]
Lee 2017 {published data only}
- Lee HC, Huang CL, Ho SH, Sung WH. The effect of a virtual reality game intervention on balance for patients with stroke: a randomized controlled trial. Games for Health Journal 2017;6(5):303-11. [DOI] [PubMed] [Google Scholar]
Lee 2018b {published data only}
- Lee DK, Kim SH. The effect of respiratory exercise on trunk control, pulmonary function, and trunk muscle activity in chronic stroke patients. Journal of Physical Therapy Science 2018;30(5):700-3. [DOI: 10.1589/jpts.30.700] [DOI] [PMC free article] [PubMed] [Google Scholar]
Liaw 2020 {published data only}
- Liaw M-H, Hsu C-H, Leong C-P, Liao C-Y, Wang L-Y, Lu C-H, et al. Respiratory muscle training in stroke patients with respiratory muscle weakness, dysphagia, and dysarthria – a prospective randomized trial. Medicine 2020;99(10):(e19337). [NCT03491111] [DOI] [PMC free article] [PubMed]
Lin 1998 {published data only}
- Lin J-J, Chung K-C. Evaluate a biofeedback training on the dynamic and static balance for preambulation in hemiplegic patients. Chinese Journal of Medical and Biological Engineering 1998;18(1):59-65. [Google Scholar]
Lobo 2022 {published data only}
- Lobo AA, Joshua AM, Nayak A, Prasanna MP, Misri Z, Pai S. Effect of Compelled Body Weight Shift (CBWS) therapy in comparison to proprioceptive training on functional balance, gait, and muscle strength among acute stroke subjects. Annals of Neuroscience 2022;28:162-9. [DOI: 10.1177/09727531211063132] [DOI] [PMC free article] [PubMed] [Google Scholar]
Marigold 2005 {published data only}
- Marigold DS, Eng JJ, Dawson AS, Inglis JT, Harris JE, Gylfadottir S. Exercise leads to faster postural reflexes, improved balance and mobility, and fewer falls in older persons with chronic stroke. Journal of the American Geriatrics Society 2005;53:416-23. [DOI] [PMC free article] [PubMed] [Google Scholar]
Mohapatra 2012 {published data only}
- Mohapatra S, Eviota AC, Ringquist KL, Muthukrishnan SR, Aruin AS. Compelled body weight shift technique to facilitate rehabilitation of individuals with acute stroke. ISRN Rehabilitation 2012;2012:328018. [DOI: 10.5402/2012/328018] [DOI] [PMC free article] [PubMed] [Google Scholar]
Muckel 2014 {published data only}
- Muckel S, Mehrholz J. Immediate effects of two attention strategies on trunk control on patients after stroke. A randomized controlled pilot trial [with consumer summary]. Clinical Rehabilitation 2014;28(7):632-6. [DOI] [PubMed] [Google Scholar]
NCT01304017 {published data only}
- NCT01304017. Virtual reality intervention for stroke rehabilitation. www.clinicaltrials.gov/ct2/show/NCT01304017 (first posted 25 February 2011).
NCT01371253 {published data only}
- NCT01371253. 10 weeks of NIntendo wIi fit balance training improved postural balance and muscle strength in elderly individuals (WIICAN). clinicaltrials.gov/ct2/show/NCT01371253 (first received 10 June 2011).
NCT02565407 {published data only}
- NCT02565407. Robot-aided proprioceptive rehabilitation training. clinicaltrials.gov/ct2/show/NCT02565407 (first received 1 October 2015).
NCT02654951 {published data only}
- NCT02654951. Reaching in stroke. clinicaltrials.gov/ct2/show/NCT02654951 (first received 13 January 2016).
NCT02753322 {published data only}
- NCT02753322. Training dual-task balance and walking in people with stroke. clinicaltrials.gov/ct2/show/NCT02753322 (first received 27 April 2016).
NCT03234426 {published data only}
- NCT03234426. Effectiveness of perturbations exercises in improving balance, function and mobility in stroke patients (perturbation). clinicaltrials.gov/ct2/show/NCT03234426 (first received 31 July 2017).
NCT03602326 {published data only}
- NCT03602326. Neurodevelopmental therapy-Bobath approach in the early term of stroke; safe and effective. ClinicalTrials.gov/show/NCT03602326 (first received 26 July 2018).
NCT03757026 {published data only}
- NCT03757026. Comparison of three balance training protocols for individuals post stroke. www.clinicaltrials.gov/ct2/show/NCT03757026 (first received 28 November 2018).
NCT04042961 {published data only}
- NCT04042961. Reactive balance training and fitness. clinicaltrials.gov/show/NCT04042961 (first received 2 August 2019).
NCT04491279 {published data only}
- NCT04491279. Neuropilates compared to general exercise classes in chronic stroke. clinicaltrials.gov/ct2/show/NCT04491279 (first received 29 July 2020).
Nyffeler 2017 {published data only}
- Nyffeler T, Paladini RE, Hopfner S, Job O, Nef T, Pflugshaupt T, et al. Contralesional trunk rotation dissociates real vs. pseudo-visual field defects due to visual neglect in stroke patients. Frontiers in Neurology 2017;8:411. [DOI: ] [DOI] [PMC free article] [PubMed] [Google Scholar]
Oh 2016 {published data only}
- Oh D, Kim G, Lee W, Shin MM. Effects of inspiratory muscle training on balance ability and abdominal muscle thickness in chronic stroke patients. Journal of Physical Therapy Science 2016;28(1):107-11. [DOI: 10.1589/jpts.28.107] [DOI] [PMC free article] [PubMed] [Google Scholar]
Oh 2017 {published data only}
- Oh D-S, Choi J-D. The effect of motor imagery training for trunk movements on trunk muscle control and proprioception in stroke patients. Journal of Physical Therapy Science 2017;29(7):1224-8. [DOI: ] [DOI] [PMC free article] [PubMed] [Google Scholar]
PACTR201801002927119 {published data only}
- PACTR201801002927119. Effect of pelvic control exercises on gait in stroke patients. Pan African Clinical Trials Registry (first received 10th January 2018 ).
PACTR201810717634701 {published data only}
- PACTR201810717634701. Task-specific training with multi-sensory biofeedback on ambulation, balance, cognition and societal participation in individuals post stroke. Pan African Clinical Trials Registry (first received 1 October 2018).
Park 2014 {published data only}
- Park JH, Hwangbo G. The effect of trunk stabilization exercises using a sling on the balance of patients with hemiplegia. Journal of Physical Therapy Science 2014;26(2):219-21. [DOI: ] [DOI] [PMC free article] [PubMed] [Google Scholar]
Park 2017 {published data only}
- Park S-J, Lee J-H, Min K-O. Comparison of the effects of core stabilization and chest mobilization exercises on lung function and chest wall expansion in stroke patients. Journal of Physical Therapy Science 2017;29(7):1144-7. [DOI: ] [DOI] [PMC free article] [PubMed] [Google Scholar]
Petrofsky 2005 {published data only}
- Petrofsky JS, Johnson EG, Hanson A, Cuneo M, Dial R, Somers R, et al. Abdominal and lower back training for people with disabilities using a 6 Second Abs machine: effect on core muscle stability. Journal of Applied Research 2005;5(2):345-59. [Google Scholar]
Rajaratnam 2011 {published data only}
- Rajaratnam BS, Su Y, Xu TT, Howe WW, Hsia AN, Teo ST, et al. Wii-rehab to enhance balance among patients with stroke. In: 5th International Conference on Rehabilitation Engineering & Assistive Technology. 2011.
Ramachandran 2016 {published data only}
- Ramachandran A, Vaiyapuri A, Alagesan J, Vasanthi RK. "Trunk dissociation retrainer" for improving balance and gait in hemiplegia. Indian Journal of Physiotherapy and Occupational Therapy 2015;9(3):259-63. [Google Scholar]
- Ramachandran A, Vaiyapuri A, Chandrasekar L. Effects of “Trunk Dissociation Retrainer” in improving trunk performance and functional activities in hemiplegia. Indian Journal of Physiotherapy and Occupational Therapy 2016;10(1):160-5. [DOI: 10.5958/0973-5674.2016.00033.2] [DOI] [Google Scholar]
Rao 2013 {published data only}
- Rao T. A community applied research of traditional Chinese medicine rehabilitation scheme on balance dysfunction after stroke. Chinese Clinical Trial Registry (ChiCTR) (first received 22th August 2013).
Rasheeda 2017 {published data only}
- Rasheeda V, Sivakumar R. The effect of Swiss ball therapy on sit-to-stand function, paretic limb weight bearing and lower limb motor score in patients with hemiplegia. International Journal of Physiotherapy 2017;4(6):319-23. [Google Scholar]
Sánchez‐Sánchez 2018 {published data only}
- Sánchez-Sánchez ML, Belda-Lois JM, Mena-Del Horno S, Viosca-Herrero E, Igual-Camacho C, Gisbert-Morant B. A new methodology based on functional principal component analysis to study postural stability post-stroke. Clinical Biomechanics 2018;56:18-56. [DOI] [PubMed] [Google Scholar]
Schmid 2015 {published data only}
- Schmid AA, Miller KK, Van Puymbroeck M. Yoga after stroke leads to improvements in multiple domains of quality of life. Archives of Physical Medicine and Rehabilitation 2015;96(10):e93. [Google Scholar]
Shah 2018 {published data only}
- Shah RJ, Pandya A. Compare effect of PNF for trunk versus weight shift therapy on trunk control and dynamic balance in chronic hemiplegia. Neurorehabilitation and Neural Repair 2018;32(4-5):392. [DOI: 10.1177/1545968318765498] [DOI] [Google Scholar]
Shin JW 2016 {published data only}
- Shin JW, Kim KD. The effect of enhanced trunk control on balance and falls through bilateral upper extremity exercises among chronic stroke patients in a standing position. Journal of Physical Therapy Science 2016;28(1):194-7. [DOI: ] [DOI] [PMC free article] [PubMed] [Google Scholar]
Shumway‐Cook 1988 {published data only}
- Shumway-Cook A, Anson D, Haller S. Postural sway biofeedback: its effect on reestablishing stance stability in hemiplegic patients. Archives of Physical Medicine and Rehabilitation 1988;69:395-400. [PubMed] [Google Scholar]
Singh 2002 {published data only}
- Singh NR, Sharma R, Srivastava RK, Gupta N. Effect of postural biofeedback training: its effect on functional outcome in the rehabilitation of hemiplegic patients after stroke. Archives of Physical Medicine and Rehabilitation 2002;83:1690. [Google Scholar]
Song 2015 {published data only}
- Song GB, Park EC. Effects of chest resistance exercise and chest expansion exercise on stroke patients' respiratory function and trunk control ability. Journal of Physical Therapy Science 2015;27(6):1655-8. [DOI: ] [DOI] [PMC free article] [PubMed] [Google Scholar]
Sorinola 2018 {published data only}
- Sorinola I, White C, Burgess C, Rudd A, Walmsley N, Petty J. Feasibility of delivering additional trunk training during post stroke rehabilitation to promote 6 months' mobility outcomes in severe stroke. European Stroke Journal 2018;3(1 Suppl 1):130. [DOI: ] [Google Scholar]
Starke 2002 {published data only}
- Starke J, Bennefeld H, Hartmann C, Kaeubler WD, Blumenstein R. Effectiveness of hippotherapy - Part 2: a study with patients in the neurological rehabilitation centre. Neurorehabilitation and Neural Repair 2002;16(1):86. [Google Scholar]
Subramanian 2007 {published data only}
- Subramanian S, Knaut L, Henderson A, Levin M. Repetitive training of arm pointing movements in patients with hemiparesis in virtual vs physical environments. Physiotherapy 2007;93 Suppl 1:S478. [Google Scholar]
Summa 2015 {published data only}
- Summa S, Pierella C, Giannoni P, Sciacchitano A, Iacovelli S, Farshchiansadegh A, et al. A body-machine interface for training selective pelvis movements in stroke survivors: a pilot study. ieeexplore.ieee.org/document/7319434 (accessed prior to 15 November 2022). [DOI: 10.1109/EMBC.2015.7319434] [DOI] [PubMed]
Sung 2013 {published data only}
- Sung Y-H, Kim C-J, Yu B-K, Kim K-M. A hippotherapy simulator is effective to shift weight bearing toward the affected side during gait in patients with stroke. NeuroRehabilitation 2013;33(3):407-12. [DOI: ] [DOI] [PubMed] [Google Scholar]
Taylor‐Pilliae 2014 {published data only}
- Taylor-Pilliae RE, Hoke TM, Hepworth JT, Latt LD, Najafi B, Coull BM. Effect of Tai Chi on physical function, fall rates and quality of life among older stroke survivors. Archives of Physical Medicine and Rehabilitation 2014;95:816-24. [DOI] [PubMed] [Google Scholar]
Teixeira 1998 {published data only}
- Teixeira L, Nadeau S, Olney S, McBride I, Culham E, Zee B. The impact of a muscle strengthening and physical conditioning program on gait and stairclimbing performance in chronic stroke subjects. Gait and Posture 1998;7:144-5. [Google Scholar]
Thielman 2003 {published data only}
- Thielman GT, Gentile AM. Rehabilitation of reaching after stroke (trunk stabilized): task-related training vs progressive resistive exercise. Journal of Neurologic Physical Therapy 2003;27(4):188. [Google Scholar]
Thielman 2013 {published data only}
- Thielman G. Insights into upper limb kinematics and trunk control one year after task-related training in chronic post-stroke individuals. Journal of Hand Therapy 2013;26(2):156-60. [DOI: 10.1016/j.jht.2012.12.003] [DOI] [PubMed] [Google Scholar]
U1111‐1239‐3846 {published data only}
- U1111-1239-3846. Clinical trial of the effect of breathing exercise on expiratory force and abdominal muscle in stroke patients. ensaiosclinicos.gov.br/rg/RBR-8w44f6 (first received 2 October 2019).
Ustinova 2002 {published data only}
- Ustinova K, Chernikova LA, Ioffe ME. Effect of using a special program of balance training in stroke patients. Neurorehabilitation and Neural Repair 2002;16(1):31. [Google Scholar]
Valdés 2018 {published data only}
- Valdés BA, Van der Loos HF. Biofeedback vs. game scores for reducing trunk compensation after stroke: a randomized crossover trial. Topics in Stroke Rehabilitation 2018;25(2):96-113. [DOI: 10.1080/10749357.2017.1394633] [DOI] [PubMed] [Google Scholar]
Walker 2000 {published data only}
- Walker C, Brouwer BJ, Culham EG. Use of visual feedback in retraining balance following acute stroke. Physical Therapy 2000;80(9):886-95. [PubMed] [Google Scholar]
Wu 2001 {published data only}
- Wu CY, Wong M-K, Lin K-C, Chen H-C. Effects of task goal and personal preference on seated reaching kinematics after stroke. Stroke 2001;32:70-6. [DOI] [PubMed] [Google Scholar]
Yavuzer 2006 {published data only}
- Yavuzer G, Eser F, Karakus D, Karaoglan B, Stam HJ. The effects of balance training on gait late after stroke: a randomized controlled trial. Clinical Rehabilitation 2006;20(11):960-9. [DOI: 10.1177/0269215506070315] [DOI] [PubMed] [Google Scholar]
Yelnik 2008 {published data only}
- Yelnik AP, Le Breton F, Colle FM, Bonan IV, Hugeron C, Egal V, et al. Rehabilitation of balance after stroke with multisensorial training: a single-blind randomized controlled study. Neurorehabilitation and Neural Repair 2008;22:468-76. [DOI] [PubMed] [Google Scholar]
Yoo 2014 {published data only}
- Yoo J, Jeong J, Lee W. The effect of trunk stabilization exercise using an unstable surface on the abdominal muscle structure and balance of stroke patients. Journal of Physical Therapy Science 2014;26(6):857-9. [DOI: ] [DOI] [PMC free article] [PubMed] [Google Scholar]
Zheng 2021 {published data only}
- Zheng Y, Zhang Y, Li H, Qiao L, Fu W, Yu L, et al. Comparative effect of Liuzijue Qigong and conventional respiratory training on trunk control ability and respiratory muscle function in patients at an early recovery stage from stroke: a randomized controlled trial. Archives of Physical Medicine and Rehabilitation 2021;102(3):423-30. [DOI: ] [DOI] [PubMed] [Google Scholar]
References to studies awaiting assessment
Deshmukh 2018 {published data only}
- Deshmukh SU, Kumar TS. Effect of Swissball exercise versus plinth exercises in improving trunk control among hemiparetic patients - a comparative study. Indian Journal of Physiotherapy and Occupational Therapy 2018;12(3):97-100. [DOI: 10.5958/0973-5674.2018.00065.5] [DOI] [Google Scholar]
Kim 2009 {published data only}
- Kim YM, Chun MH, Kang SH, Ahn WH. The effect of neuromuscular electrical stimulation on trunk control in hemiparetic stroke patients. Journal of Korean Society for Rehabilitation Medicine 2009;33(3):265-70. [Google Scholar]
Liao 2006 {published data only}
- Liao L, Luo W, Chen S. The effect of trunk control training on balance and lower limb function in patients with hemiplegia. Chinese Journal of Rehabilitation Medicine 2006;21(7):608-16. [Google Scholar]
Shen 2013 {published data only}
- Shen Y, Wang W, Chen Y. Effects of core stability training on standing balance and walking function of stroke hemiplegic patients in convalescent phase. Chinese Journal of Rehabilitation Medicine 2013;28(9):830-3. [DOI: 10.3969/j.issn.1001-1242.2013.09.009] [DOI] [Google Scholar]
Wang 2016 {published data only}
- Wang D, Lin J, Liu X. Effects of visual feedback and core stability training program on post-stroke Pusher syndrome: a pilot randomized controlled study. Chinese Journal of Rehabilitation Medicine 2016;31(4):426-9. [DOI: 10.3969/j.issn.1001-1242.2016.04.010] [DOI] [Google Scholar]
Yan 2017 {published data only}
- Yan XH, Xiong JZ, Li S-W, Zhou YH, Wei W-X. Rehabilitation effect of trunk control training under suspension on motor function of stroke patients in sequela period. Chinese Journal of Contemporary Neurology and Neurosurgery 2017;17(4):266-9. [DOI: ] [Google Scholar]
Yoon 2020 {published data only}
- Yoon HS, Cha YJ, You JS. Effects of dynamic core-postural chain stabilization on diaphragm movement, abdominal muscle thickness, and postural control in patients with subacute stroke: a randomized control trial. NeuroRehabilitation 2020;46(3):381-9. [DOI: 10.3233/NRE-192983] [DOI] [PubMed] [Google Scholar]
References to ongoing studies
ACTRN12617000452392 {published data only}
- ACTRN12617000452392. Core muscles strengthening for balance and gait performance in individuals with chronic stroke. www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=372139&isReview=true (first received 27 March 2017).
CTRI201802011894 {published data only}
- CTRI/2018/02/011894. Effect of proprioceptive neuromuscular facilitation and truncal exercises on trunk control and dynamic sitting balance in post stroke subjects. www.who.int/trialsearch/Trial2.aspx?TrialID=CTRI/2018/02/011894 (first received 13 February 2018).
CTRI201810016074 {published data only}
- CTRI/2018/10/016074. Novel biofeedback on trunk control and balance in acute hemiplegic patients. www.who.int/trialsearch/Trial2.aspx?TrialID=CTRI/2018/10/016074 (first received 18th October 2018).
Karthikbabu 2018b {published data only}
- Karthikbabu S. Can core stability training improve trunk strength and balance self-confidence in chronic stroke? 12 months follow-up. Cochrane Central Register of Controlled Trials (CENTRAL) (first received 29 February 2020).
NCT03503617 {published data only}
- NCT03503617. RehabTouch home therapy for stroke patients [RehabTouch: a mixed-reality gym for rehabilitating the hands, arms, trunk, and legs after stroke]. clinicaltrials.gov/ct2/show/NCT03503617 (first received 20 April 2018).
NCT03811106 {published data only}
- NCT03811106. Neuromuscular electrical stimulation (NMES) in stroke-diagnosed individuals. clinicaltrials.gov/ct2/show/NCT03811106 (first received 22 January 2019).
NCT03975985 {published data only}
- NCT03975985. The effectiveness of core stability exercises (CORE). clinicaltrials.gov/ct2/show/NCT03975985 (first received 5 June 2019).
NCT03991390 {published data only}
- NCT03991390. Effectiveness of balance exercise program for stroke patients with Pusher Syndrome. clinicaltrials.gov/ct2/show/NCT03991390 (first received 19 June 2019).
NCT04440748 {published data only}
- NCT04440748. Feasibility study and pilot RCT into the use of a novel technology to train sitting balance and trunk control. clinicaltrials.gov/ct2/show/NCT04440748 (first received 22 June 2020).
Additional references
Ada 2006
- Ada L, Dean C, Mackey F. Increasing the amount of physical activity undertaken after stroke. Physical Therapy Reviews 2006;11:91-100. [Google Scholar]
Alhwoaimel 2018
- Alhwoaimel N, Turk R, Warner M, Verheyden G, Thijs L, Wee SK, et al. Do trunk exercises improve trunk and upper extremity performance, post stroke? A systematic review and meta-analysis. NeuroRehabilitation 2018;43(4):395-412. [DOI: 10.3233/NRE-182446] [DOI] [PubMed] [Google Scholar]
An 2017
- An S-H, Park D-S. The effects of trunk exercise on mobility, balance and trunk control of stroke patients. Journal of Korean Academy of Rehabilitation Medicine 2017;12(1):25-33. [DOI: 10.13066/kspm.2017.12.1.25] [DOI] [Google Scholar]
Atkins 2004
- Atkins D, Best D, Briss PA, Eccles M, Falck-Ytter Y, Flottorp S, et al, GRADE Working Group. Grading quality of evidence and strength of recommendations. BMJ 2004;328(7454):1490-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
Bank 2016
- Bank J, Charles K, Morgan P. What is the effect of additional physiotherapy on sitting balance following stroke compared to standard physiotherapy treatment: a systematic review. Topics in Stroke Rehabilitation 2016;23(1):15-25. [DOI: 10.1179/1945511915Y.0000000005] [DOI] [PubMed] [Google Scholar]
Berg 1992
- Berg KO, Wood-Dauphinee SL, Williams JI, Maki B. Measuring balance in the elderly: validation of an instrument. Canadian Journal of Public Health 1992;83 Suppl 2:S7-11. [PubMed] [Google Scholar]
Bernhardt 2017
- Bernhardt J, Hayward K, Kwakkel G, Ward N, Wolf S, Borschmann K, et al. Agreed definitions and a shared vision for new standards in stroke recovery research: the Stroke Recovery and Rehabilitation Roundtable Taskforce. International Journal of Stroke 2017;12(5):444-50. [DOI: 10.1177/1747493017711816] [DOI] [PubMed] [Google Scholar]
Birkfellner 2002
- Birkfellner, W, Figl, M, Huber, K, Watzinger, F, Wanschitz, F, Hummel, J, Bergmann, H. A head-mounted operating binocular for augmented reality visualization in medicine–design and initial evaluation. IEEE Trans Med Imaging 2002;21(8):991-7. [DOI: 10.1109/TMI.2002.803099] [DOI] [PubMed] [Google Scholar]
Bohannon 1992
- Bohannon RW. Lateral trunk flexion strength: impairment, measurement reliability and implications following unilateral brain lesion. International Journal of Rehabilitation Research 1992;15(3):249-51. [PubMed] [Google Scholar]
Bohannon 2013
- Bohannon R, Andrews AW, Glenney SS. Minimal clinically important difference for comfortable gait speed as a measure of gait performance in patients undergoing inpatient rehabilitation after stroke. Journal of Physical Therapy Science 2013;25(10):1223-5. [DOI: doi: 10.1589/jpts.25.1223] [DOI] [PMC free article] [PubMed] [Google Scholar]
Borenstein 2021
- Borenstein M, Hedges LV, Higgins JP, Rothstein HR. Chapter 13, Fixed-effect versus random-effects models. In: Introduction to Meta‐Analysis. New York: John Wiley & Sons Inc, 2021:71-9. [DOI: 10.1002/9781119558378.ch13] [DOI] [Google Scholar]
Cabanas‐Valdés 2013
- Cabanas-Valdés R, Cuchi GU, Bagur-Calafat C. Trunk training exercises approaches for improving trunk performance and functional sitting balance in patients with stroke: a systematic review. NeuroRehabilitation 2013;33(4):575-92. [DOI: 10.3233/NRE-130996] [DOI] [PubMed] [Google Scholar]
Cabrera‐Martos 2020
- Cabrera-Martos I, Ortiz-Rubio A, Torres-Sánchez I, López-López L, Jarrar M, Valenza C. The effectiveness of core exercising for postural control in patients with stroke: a systematic review and meta-analysis. American Academy of Physical Medicine and Rehabilitation 2020;12(11):1157-68. [DOI: 10.1002/pmrj.12330] [DOI] [PubMed] [Google Scholar]
Chen 2021
- Chen I-H, Liang P-J, Jia-Yi Chiu V, Lee S-C. Trunk muscle activation patterns during standing turns in patients with stroke: an electromyographic analysis. Frontiers in Neurology 2021;12:1971. [DOI: ] [DOI] [PMC free article] [PubMed] [Google Scholar]
Collen 1990
- Collen FM, Wade DT, Bradshaw CM. Mobility after stroke: reliability of measures of impairment and disability. International Disability Studies 1990;12(1):6-9. [DOI] [PubMed] [Google Scholar]
Collin 1988
- Collin C, Wade DT, Davies S, Horne V. The Barthel ADL Index: a reliability study. International Disability Studies 1988;10(2):61-3. [DOI] [PubMed] [Google Scholar]
Collin 1990
- Collin C, Wade D. Assessing motor impairment after stroke: a pilot reliability study. Journal of Neurology, Neurosurgery and Psychiatry 1990;53:576-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
Covidence 2017 [Computer program]
- Covidence. Melbourne, Australia: Veritas Health Innovation, accessed 10 January 2017. Available at: covidence.org.
Davies 1990
- Davies PM. Problems associated with the loss of selective trunk activity in hemiplegia. In: Right in the Middle: Selective Trunk Activity in the Treatment of Adult Hemiplegia. New York (NY): Springer, 1990:31-65. [Google Scholar]
Deeks 2022
- Deeks JJ, Higgins JP, Altman DG (editors). Chapter 10: Analysing data and undertaking meta-analyses. In: Higgins JP, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, et al (editors). Cochrane Handbook for Systematic Reviews of Interventions version 6.3 (updated February 2022). Cochrane, 2022. Available from www.training.cochrane.org/handbook.
Devito 2019
- Devito N, Goldacre B. Publication bias. catalogofbias.org/biases/publicationbias/ (accessed prior to 16 November 2022).
Dickersin 1993
- Dickersin K, Min YI. Publication bias: the problem that won't go away. Annals of the New York Academy of Sciences 1993;31(703):135-46. [DOI: doi: 10.1111/j.1749-6632.1993.tb26343.x] [DOI] [PubMed] [Google Scholar]
Dickstein 1999
- Dickstein R, Heffes Y, Laufer Y, Ben-Haim Z. Activation of selected trunk muscles during symmetric functional activities in poststroke hemiparetic and hemiplegic patients. Journal of Neurology, Neurosurgery and Psychiatry 1999;66:218-21. [DOI] [PMC free article] [PubMed] [Google Scholar]
Di Monaco 2010
- Di Monaco M, Trucco M, Di Monaco R, Tappero R, Cavanna A. The relationship between initial trunk control or postural balance and inpatient rehabilitation outcome after stroke: a prospective comparative study. Clinical Rehabilitation 2010;24:543-54. [DOI: 10.1177/0269215509353265] [DOI] [PubMed] [Google Scholar]
Duarte 2002
- Duarte E, Marco E, Muniesa JM, Belmonte R, Diaz P, Tejero M, et al. Trunk control test as a functional predictor in stroke patients. Journal of Rehabilitation Medicine 2002;34(6):267-72. [DOI: 10.1080/165019702760390356] [DOI] [PubMed] [Google Scholar]
Duncan 1990
- Duncan PW, Weiner DK, Chandler J, Studenski S. Functional reach: a new clinical measure of balance. Journals of Gerontology 1990;45(6):M192-7. [DOI: 10.1093/geronj/45.6.M192] [DOI] [PubMed] [Google Scholar]
Duncan 1999
- Duncan PW, Wallace D, Lai SM, Johnson D, Embretson S, Laster LJ. The Stroke Impact Scale version 2.0. Evaluation of reliability, validity, and sensitivity to change. Stroke 1999;30(10):2131-40. [DOI] [PubMed] [Google Scholar]
Fu 2010
- Fu R, Gartlehner G, Grant M, Shamliyan T, Sedrakyan A, Wilt T, et al. Conducting quantitative synthesis when comparing medical interventions: AHRQ and the effective health care program. In: Methods Guide for Effectiveness and Comparative Effectiveness Reviews. Rockville (MD): Agency for Healthcare Research and Quality, 2010:1-18. [http://effectivehealthcare.ahrq.gov/.] [PubMed] [Google Scholar]
Fugl‐Meyer 1975
- Fugl-Meyer AR, Jääskö L, Leyman I, Olsson S, Steglind S. The post-stroke hemiplegic patient: 1. a method for evaluation of physical performance. Scandinavian Journal of Rehabilitation Medicine 1975;7(1):13-31. [PubMed] [Google Scholar]
Fujino 2015
- Fujino Y, Amimoto K, Fukata K, Ishihara S, Makita S, Takahashi H. Does training sitting balance on a platform tilted 10° to the weak side improve trunk control in the acute phase after stroke? A randomized, controlled trial. Topics in Stroke Rehabilitation 2015;23(1):43-9. [DOI: 10.1179/1945511915Y.0000000010] [DOI] [PubMed] [Google Scholar]
Fulk 2011
- Fulk G, Ludwig M, Dunning K, Golden S, Boyne P, West T. Estimating clinically important change in gait speed in people with stroke undergoing outpatient rehabilitation. Journal of Neurologic Physical Therapy 2011;35(2):82-9. [DOI] [PubMed] [Google Scholar]
GBD 2019
- GBD 2016 Stroke Collaborators. Global, regional, and national burden of stroke, 1990-2016: a systematic analysis for the Global Burden of Disease Study. Lancet Neurology 2019;18(5):439-58. [DOI] [PMC free article] [PubMed] [Google Scholar]
GRADEpro GDT [Computer program]
- GRADEpro GDT. Hamilton (ON): McMaster University (developed by Evidence Prime), accessed 6 July 2020. Available at gradepro.org.
Hafer‐Macko 2008
- Hafer-Macko CE, Ryan AS, Ivey FM, Macko RF. Skeletal muscle changes after hemiparetic stroke and potential beneficial effects of exercise intervention strategies. Journal of Rehabilitation Research and Development 2008;45(2):261-72. [DOI: doi: 10.1682/jrrd.2007.02.0040] [DOI] [PMC free article] [PubMed] [Google Scholar]
Harley 2006
- Harley C, Boyd JE, Cockburn J, Collin C, Haggard P, Wann JP, et al. Disruption of sitting balance after stroke: influence of spoken output. Journal of Neurology, Neurosurgery and Psychiatry 2006;77:674-6. [DOI: 10.1136/jnnp.2005.074138] [DOI] [PMC free article] [PubMed] [Google Scholar]
Higgins 2003
- Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ 2003;327:557-60. [DOI: 10.1136/bmj.327.7414.557] [DOI] [PMC free article] [PubMed] [Google Scholar]
Higgins 2021a
- Higgins JP, Li T, Deeks JJ (editors). Chapter 6: Choosing effect measures and computing estimates of effect. In: Higgins JPT, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, et al (editors). Cochrane Handbook for Systematic Reviews of Interventions version 6.2 (updated February 2021). Cochrane, 2021. Available from www.training.cochrane.org/handbook.
Higgins 2021b
- Higgins JP, Eldridge S, Li T (editors). Chapter 23: Including variants on randomized trials. In: Higgins JP, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, et al (editors). Cochrane Handbook for Systematic Reviews of Interventions version 6.0 (updated July 2019). Cochrane, 2019. Available from www.training.cochrane.org/handbook/archive/v6.0.
Hoffmann 2014
- Hoffmann TC, Glasziou PP, Boutron I, Milne R, Perera R, Moher D. Better reporting of interventions: template for intervention description and replication (TIDieR) checklist and guide. BMJ 2014;348:g1687. [DOI: 10.1136/bmj.g1687] [DOI] [PubMed] [Google Scholar]
Holden 1984
- Holden MK, Gill KM, Magliozzi MR, Nathan J, Piehl-Baker L. Clinical gait assessment in the neurologically impaired: reliability and meaningfulness. Physical Therapy 1984;64(1):35-40. [DOI] [PubMed] [Google Scholar]
Houglum 2012
- Houglum P, Bertoti D. Brunnstrom’s Clinical Kinesiology. 6th edition. Philadelphia (PA): FA Davis Company, 2012. [ISBN-13: 978-0-8036-2352-1] [Google Scholar]
Hsieh 2002
- Hsieh C-L, Sheu C-F, Hsueh I-P, Wang C-H. Trunk control as an early predictor of comprehensive activities of daily living function in stroke patients. Stroke 2002;33:2626-30. [DOI: 10.1161/01.STR.0000033930.05931.93] [DOI] [PubMed] [Google Scholar]
Hsieh 2007
- Hsieh Y-W, Wang C-H, Wu S-C, Chen P-C, Sheu C-F, Hsieh C-L. Establishing the minimal clinically important difference of the Barthel Index in stroke patients. Neurorehabilitation and Neural Repair 2007;21(3):233-8. [DOI: ddoi: 10.1177/1545968306294729] [DOI] [PubMed] [Google Scholar]
Hwang 2013
- Hwang JA, Bae SH, Do Kim G, Kim KY. The effects of sensorimotor training on anticipatory postural adjustment of the trunk in chronic low back pain patients. Journal of Physical Therapy Science 2013;25(9):1189-92. [DOI: doi: 10.1589/jpts.25.1189] [DOI] [PMC free article] [PubMed] [Google Scholar]
Isho 2016
- Isho T, Usuda S. Association of trunk control with mobility performance and accelerometry-based gait characteristics in hemiparetic patients with subacute stroke. Gait & Posture 2016;44:89-93. [DOI: 10.1016/j.gaitpost.2015.11.011] [DOI] [PubMed] [Google Scholar]
Jung 2016a
- Jung K-S, Jung J-H, In T-S, Cho H-Y. Effects of weight-shifting exercise combined with transcutaneous electrical nerve stimulation on muscle activity and trunk control in patients with stroke. Occupational Therapy International 2016;23:436-43. [DOI: 10.1002/oti.1446] [DOI] [PubMed] [Google Scholar]
Jung 2016b
- Jung K-S, Cho H-Y, In T-S. Trunk exercises performed on an unstable surface improve trunk muscle activation, postural control, and gait speed in patients with stroke. Journal of Physical Therapy Science 2016;28(3):940-4. [DOI: doi: 10.1589/jpts.28.940] [DOI] [PMC free article] [PubMed] [Google Scholar]
Jørgensen 2015
- Jørgensen H, Nakayama H, Raaschou H, Vive-Larsen J, Støier M, Olsen T. Outcome and time course of recovery in stroke. Part I: outcome. The Copenhagen stroke study. Archives of Physical Medicine and Rehabilitation 2015;76(5):399-405. [DOI] [PubMed] [Google Scholar]
Karthikbabu 2011
- Karthikbabu S, Rao B, Manikandan N, Solomon J, Chakrapani M, Nayak A. Role of trunk rehabilitation on trunk control, balance and gait in patients with chronic stroke: a pre-post design. Neuroscience & Medicine 2011;2:61-7. [DOI: 10.4236/nm.2011.22009] [DOI] [Google Scholar]
Karthikbabu 2011a
- Karthikbabu S, Nayak A, Vijayakumar K, Misri ZK, Suresh BV, Ganesan S, et al. Comparison of physio ball and plinth trunk exercises regimens on trunk control and functional balance in patients with acute stroke: a pilot randomized controlled trial. Clinical Rehabilitation 2011;25:709-19. [DOI: 10.1177/0269215510397393] [DOI] [PubMed] [Google Scholar]
Keith 1987
- Keith R, Granger C, Hamilton B, Sherwin F. The Functional Independence Measure: a new tool for rehabilitation. Advances in Clinical Rehabilitation 1987;1:6-18. [PubMed] [Google Scholar]
Ko 2016
- Ko EJ, Chun MH, Kim DY, Yi JH, Kim W, Hong J. The additive effects of core muscle strengthening and trunk NMES on trunk balance in stroke patients. Annals of Physical and Rehabilitation Medicine 2016;40(1):142-51. [DOI: 10.5535/arm.2016.40.1.142] [DOI] [PMC free article] [PubMed] [Google Scholar]
La Scala Teixeira 2019
- La Scala Teixeira C, Evangelista A, Silva M, Bocalini D, Da Silva-Grigoletto M, Behm D. Ten important facts about core training. ACSM's Health & Fitness Journal 2019;23(1):16-21. [DOI: 10.1249/FIT.0000000000000449] [DOI] [Google Scholar]
Lee 2015
- Lee KB, Lim SH, Kim KH, Kim KJ, Kim YR, Chang WN, et al. Six-month functional recovery of stroke patients: a multi-time-point study. International Journal of Rehabilitation Research 2015;38(2):173-80. [DOI: 10.1097/MRR.0000000000000108] [DOI] [PMC free article] [PubMed] [Google Scholar]
Lee 2018
- Lee K, Cho J-E, Hwang D-Y, Lee W. Decreased respiratory muscle function is associated with impaired trunk balance among chronic stroke patients: a cross-sectional study. Tohoku Journal of Experimental Medicine 2018;245:79-88. [DOI: 10.1620/tjem.245.79] [DOI] [PubMed] [Google Scholar]
Lefebvre 2019
- Lefebvre C, Glanville J, Briscoe S, Littlewood A, Marshall C, Metzendorf M-I, et al. Technical Supplement to Chapter 4: Searching for and selecting studies. In: Higgins JP, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, et al, editor(s). Cochrane Handbook for Systematic Reviews of Interventions version 6.0 (updated July 2019). Cochrane, 2019. Available from www.training.cochrane.org/handbook/archive/v6.0.
Lefebvre 2021
- Lefebvre C, Glanville J, Briscoe S, Littlewood A, Marshall C, Metzendorf M-I, et al. Chapter 4: Searching for and selecting studies. In: Higgins JPT, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, et al (editors). Cochrane Handbook for Systematic Reviews of Interventions version 6.2 (updated February 2021). Cochrane, 2021. Available from www.training.cochrane.org/handbook.
Liberati 2009
- Liberati A, Altman DG, Tetzlaff J, Mulrow C, Gøtzsche PC, Ioannidis JP, et al. The PRISMA Statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. BMJ 2009;6(7):e1000100. [DOI: 10.1371/journal.pmed.1000100] [DOI] [PMC free article] [PubMed] [Google Scholar]
Lyle 1981
- Lyle RC. A performance test for assessment of upper limb function in physical rehabilitation treatment and research. International Journal of Rehabilitation Research 1981;4(4):483-92. [DOI] [PubMed] [Google Scholar]
Mahoney 1965
- Mahoney FI, Barthel DW. Functional evaluation: the Barthel Index. Maryland State Medical Journal 1965;14:61-5. [PubMed] [Google Scholar]
Mathias 1986
- Mathias S, Nayak US, Isaacs B. Balance in elderly patients: the "get-up and go" test. Archives of Physical Medicine and Rehabilitation 1986;67(6):387-9. [PubMed] [Google Scholar]
McKenzie 2019
- McKenzie JE, Brennan SE, Ryan RE, Thomson HJ, Johnston RV. Chapter 9: Summarizing study characteristics and preparing for synthesis. In: Higgins JP, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, et al, editor(s). Cochrane Handbook for Systematic Reviews of Interventions version 6.0 (updated July 2019). Cochrane, 2019. Available from www.training.cochrane.org/handbook/archive/v6.0. [www.training.cochrane.org/handbook.]
Messier 2004
- Messier S, Bourbonnais D, Desrosiers J, Roy Y. Dynamic analysis of trunk flexion after stroke. Archives of Physical Medicine and Rehabilitation 2004;85:1619-24. [DOI: 10.1016/j.apmr.2003.12.043] [DOI] [PubMed] [Google Scholar]
Monticone 2019
- Monticone M, Ambrosini E, Verheyden G, Brivio F, Brunati R, Longoni L, et al. Development of the Italian version of the trunk impairment scale in subjects with acute and chronic stroke. Cross-cultural adaptation, reliability, validity and responsiveness. Disability and Rehabilitation 2019;41(1):66-73. [DOI: doi: 10.1080/09638288.2017.1373409] [DOI] [PubMed] [Google Scholar]
Moreland 1993
- Moreland J, Gowland C, Van Hullenaar S, Huijbregts M. Theoretical basis of the Chedoke-McMaster Stroke Assessment. Physiotherapy Canada 1993;45(4):231-8. [Google Scholar]
Pereira 2014
- Pereira S, Silva CC, Ferreira S, Silva C, Oliveira N, Santos R. Anticipatory postural adjustments during sitting reach movement in post-stroke subjects. Journal of Electromyography and Kinesiology 2014;24(1):165-71. [DOI: doi: 10.1016/j.jelekin.2013.10.001] [DOI] [PubMed] [Google Scholar]
Quintino 2018
- Quintino LF, Franco J, Gusmão AF, Silva PF, Faria CD. Trunk flexor and extensor muscle performance in chronic stroke patients: a case-control study. Brazilian Journal of Physical Therapy 2018;22(3):231-7. [DOI: 10.1016/j.bjpt.2017.12.002] [DOI] [PMC free article] [PubMed] [Google Scholar]
R [Computer program]
- R: A language and environment for statistical computing. Version 3.4.2. Vienna, Austria: R Foundation for Statistical Computing, 2017. Available at www.R-project.org.
RevMan Web [Computer program]
- Review Manager Web (RevMan Web). The Cochrane Collaboration, 2019. Available at: revman.cochrane.org.
Ryerson 2008
- Ryerson S, Byl N, Brown D, Wong R, Hidler J. Altered trunk position sense and its relation to balance functions in people post-stroke. Journal of Neurologic Physical Therapy 2008;32(1):14-20. [DOI] [PubMed] [Google Scholar]
Sandercock 2011
Santos 2019
- Santos R, Dall'Alba S, Forgiarini S, Rossato D, Dias A, Forgiarini L. Relationship between pulmonary function, functional independence, and trunk control in patients with stroke. Arquivos de Neuro-Psiquiatria 2019;77(6):387-92. [DOI: 10.1590/0004-282x20190048] [DOI] [PubMed] [Google Scholar]
Schmucker 2017
- Schmucker C, Blümle A, Schell L, Schwarzer G, Oeller P, Cabrera L, on behalf of the OPEN consortium. Systematic review finds that study data not published in full text articles have unclear impact on meta-analyses results in medical research. PLOS One 2017;12(4):e0176210. [DOI: doi: 10.1371/journal.pone.0176210] [DOI] [PMC free article] [PubMed] [Google Scholar]
Schroll 2011
- Schroll J, Moustgaard R, Gøtzsche PC. Dealing with substantial heterogeneity in Cochrane reviews. Cross-sectional study. BMC Medical Research Methodology 2011;11(22):1-8. [DOI: ] [DOI] [PMC free article] [PubMed] [Google Scholar]
Schulz 2010
- Schulz KF, Altman DG, Moher D, CONSORT Group. CONSORT 2010 Statement: updated guidelines for reporting parallel group randomised trials. BMJ 2010;340:c322. [DOI: 10.1136/bmj.c332] [DOI] [PubMed] [Google Scholar]
Schünemann 2021
- Schünemann HJ, Higgins JPT, Vist GE, Glasziou P, Akl EA, Skoetz N, et al. Chapter 14: Completing ‘Summary of findings’ tables and grading the certainty of the evidence. In: Higgins JPT, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, et al (editors). Cochrane Handbook for Systematic Reviews of Interventions version 6.2 (updated February 2021). Cochrane, 2021. Available from www.training.cochrane.org/handbook.
Silva 2015
- Silva P, Franco J, Gusmão A, Moura J, Teixeira-Salmela L, Faria C. Trunk strength is associated with sit-to-stand performance in both stroke and healthy subjects. European Journal of Physical and Rehabilitation Medicine 2015;51:717-24. [PMID: ] [PubMed] [Google Scholar]
Smith 1999
- Smith M, Baer G. Achievement of simple mobility milestones after stroke. Archives of Physical Medicine and Rehabilitation 1999;80:442-7. [DOI] [PubMed] [Google Scholar]
Smith 2017
- Smith M-C, Barber PA, Stinaer CM. The TWIST algorithm predicts Time to Walking Independently after STroke. Neurorehabilitation and Neural Repair 2017;31(10-11):955-64. [DOI: DOI: 10.1177/1545968317736820] [DOI] [PubMed] [Google Scholar]
Song 2018
- Song M-J, Lee J-H, Shin W-S. Minimal clinically important difference of Berg Balance Scale scores in people with acute stroke. Physical Therapy Rehabilitation Science 2018;7(3):102-8. [DOI: DOI: 10.14474/ptrs.2018.7.3.102] [Google Scholar]
Sorinola 2014
- Sorinola IO, Powis I, White CM. Does additional exercise improve trunk function recovery in stroke patients? A meta-analysis. NeuroRehabilitation 2014;35:205–13. [DOI: 10.3233/NRE-141123] [DOI] [PubMed] [Google Scholar]
Souza 2019
- Souza DC, De Sales Santos M, Da Silva Ribeiro NM, Maldonado IL. Inpatient trunk exercises after recent stroke: an update meta-analysis of randomized controlled trials. NeuroRehabilitation 2019;44(3):369-77. [DOI: 10.3233/NRE-182585] [DOI] [PubMed] [Google Scholar]
Sterne 2005
- Sterne JA, Egger M. Regression methods to detect publication and other bias in meta-analysis. In: Rothstein HR, Sutton AJ, Borenstein M, editors(s). Meta-Analysis: Prevention, Assessment and Adjustments. Chichester: John Wiley & Sons, 2005:99-110. [Google Scholar]
Tamura 2021
- Tamura S, Miyata K, Kobayashi S, Takeda R, Iwamoto H. The minimal clinically important difference in Berg Balance Scale scores among patients with early subacute stroke: a multicenter, retrospective, observational study. Topics in Stroke Rehabilitation 2021;25:1-7. [DOI: doi: 10.1080/10749357.2021.1943800] [DOI] [PubMed] [Google Scholar]
Tanaka 1998
- Tanaka S, Hachisuka K, Ogata H. Muscle strength of trunk flexion-extension in post-stroke hemiplegic patients. American Journal of Physical Medicine & Rehabilitation 1998;77(4):288-90. [DOI] [PubMed] [Google Scholar]
Tinetti 1986
- Tinetti ME, Williams TF, Mayewski R. Fall Risk Index for elderly patients based on number of chronic disabilities. American Journal of Medicine 1986;80:429-34. [DOI] [PubMed] [Google Scholar]
Van Criekinge 2018
- Van Criekinge T, Saeys W, Vereeck L, De Hertogh W, Truijen S. Are unstable support surfaces superior to stable support surfaces during trunk rehabilitation after stroke? A systematic review. Disability and Rehabilitation 2018;40(17):1981-8. [DOI: 10.1080/09638288.2017.1323030] [DOI] [PubMed] [Google Scholar]
Van Criekinge 2019a
- Van Criekinge T, Truijen S, Schröder J, Maebe Z, Blanckaert K, Van der Waal C, et al. The effectiveness of trunk training on trunk control, sitting and standing balance and mobility post-stroke: a systematic review and meta-analysis. Clinical Rehabilitation 2019;33(6):992-1002. [DOI] [PubMed] [Google Scholar]
Van Criekinge 2019b
- Van Criekinge T, Truijen S, Verbruggen C, Van de Venis L, Saeys W. The effect of trunk training on muscle thickness and muscle activity: a systematic review. Disability and Rehabilitation 2019;41(15):1751–9. [DOI: ] [DOI] [PubMed] [Google Scholar]
Van Criekinge 2020
- Van Criekinge T, Hallemans A, Herssens N, Lafosse C, Claes D, De Hertogh W, et al. SWEAT2 Study: effectiveness of trunk training on gait and trunk kinematics after stroke: a randomized controlled trial. Physical Therapy 100;9:1568–81. [DOI: DOI: 10.1093/ptj/pzaa110] [DOI] [PubMed] [Google Scholar]
Veerbeek 2011
- Veerbeek JM, Van Wegen EEH, Harmeling-Van der Wel BC, Kwakkel G. Is accurate prediction of gait in nonambulatory stroke patients possible within 72 hours poststroke? The EPOS Study. Neurorehabilitation and Neural Repair 2011;25(3):268-74. [DOI: DOI: 10.1177/1545968310384271] [DOI] [PubMed] [Google Scholar]
Verheyden 2004
- Verheyden G, Mertin J, Preger R, Kiekens C, Weerdt WD. The Trunk Impairment Scale: a new tool to measure motor impairment of the trunk after stroke. Clinical Rehabilitation 2004;18:326-33. [DOI] [PubMed] [Google Scholar]
Verheyden 2006
- Verheyden G, Vereeck L, Truijen S, Troch M, Herregodts I, Lafosse C, et al. Trunk performance after stroke and relationship with balance, gait and functional ability. Clinical Rehabilitation 2006;20:451-8. [DOI] [PubMed] [Google Scholar]
Verheyden 2007
- Verheyden G, Nieuwboer A, De Wit L, Feys H, Schuback B, Baert I, et al. Trunk performance after stroke: an eye catching predictor of functional outcome. Journal of Neurology, Neurosurgery and Psychiatry 2007;78:694-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
Viechtbauer 2010a
- Viechtbauer W. Conducting meta-analyses in R with the metafor package. Journal of Statistical Software 36;3:1-48. [DOI: ] [jstatsoft.org/v36/i03/] [Google Scholar]
Viechtbauer 2010b
- Viechtbauer W, Cheung MW-L. Outlier and influence diagnostics for meta-analysis. Research Synthesis Methods 2010;1:112-25. [DOI] [PubMed] [Google Scholar]
Wan 2014
- Wan X, Wang W, Liu J, Tong T. Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range. BMC Medical Research Methodology 2014;14(135):1-13. [DOI: 10.1186/1471-2288-14-135] [DOI] [PMC free article] [PubMed] [Google Scholar]
Wee 2015
- Wee SK, Hughes A-M, Warner M, Brown S, Cranny A, Mazomenos E, et al. Effect of trunk support on upper extremity function in people with chronic stroke and people who are healthy. Physical Therapy 2015;95(8):1163-71. [DOI] [PubMed] [Google Scholar]
Whitehead 2015
- Whitehead AL, Julious SA, Cooper CL, Campbell MJ. Estimating the sample size for a pilot randomised trial to minimise the overall trial sample size for the external pilot and main trial for a continuous outcome variable. Stat Methods Med Res 2015;25(3):1057–73. [DOI] [PMC free article] [PubMed] [Google Scholar]
WHO 2001
- World Health Organization. International classification of functioning, disability and health: ICF. who.int/iris/handle/10665/42407 (accessed prior to 16 November 2022).
Wohlfarth 2014
- Wohlfarth K, Szepan AS, Anders C, Taut F, Hofmann GO, Uhlmann F, et al. Impaired central innervation of intrinsic trunk muscles after stroke. Klinische Neurophysiologie 2014;45:23. [DOI: DOI: 10.1055/s-0034-1371236] [Google Scholar]
Wood‐Dauphinee 1988
- Wood-Dauphinee SL, Opzoomer MA, Williams JI, Marchand B, Spitzer WO. Assessment of global function: the reintegration to normal living index. Archives of Physical Medicine and Rehabilitation 1988;69(8):583-90. [PubMed] [Google Scholar]
Yoo 2010
- Yoo SD, Jeong YS, Kim DH, Lee M-A, Noh SG, Shin YW, et al. The efficacy of core strengthening on the trunk balance in patients with subacute stroke. Journal of Korean Academy of Rehabilitation Medicine 2010;34:677-82. [Google Scholar]
References to other published versions of this review
Thijs 2020
- Thijs L, Denissen S, Mehrholz J, Elsner B, Lemmens R, Verheyden GSAF. Trunk training for improving activities in people with stroke. Cochrane Database of Systematic Reviews 2020, Issue 9. Art. No: CD013712. [DOI: 10.1002/14651858.CD013712] [DOI] [PMC free article] [PubMed] [Google Scholar]