Abstract
Background/Objectives: Low back pain (LBP) is the leading cause of disability in Saudi Arabia and contributes substantially to healthcare utilisation, reduced quality of life, and lost productivity. This guideline provides nationally standardised, evidence-based recommendations for the assessment and management of non-specific LBP and sciatica in adults, adapted to the clinical and health-system context in Saudi Arabia. Methods: A multidisciplinary Task Force developed the guideline using the GRADE ADOLOPMENT approach, using NICE guideline NG59 as the primary evidence source. One additional clinical question was formulated to address pain neuroscience education, informed by a relevant systematic review. Update literature searches were conducted in PubMed, Embase, and the Cochrane Library (2016–2022). The evidence was appraised using GRADE, and recommendations were formulated through structured Evidence-to-Decision deliberations and consensus voting. Results: The Task Force addressed eleven clinical questions in this guideline. Strong recommendations were provided for the use of validated risk assessment tools (very low certainty of evidence) and stratified management (moderate certainty of evidence). Conditional recommendations were made for indications for imaging, pharmacological treatment for sciatica, psychological interventions, multidisciplinary return to work programmes, epidural injections, prognostic value of image-concordant pathology, spinal decompression, radiofrequency denervation, and pain neuroscience education, with certainty of evidence ranging from very low to low. Conclusions: The findings indicate that management of non-specific LBP and sciatica in Saudi Arabia should be guided by clinical assessment, with restricted use of imaging, careful selection of pharmacological treatments, and appropriate use of psychological, multidisciplinary, and procedural interventions.
Keywords: low back pain, LBP, sciatica, clinical practice guideline, Saudi Arabia
1. Introduction
Low back pain (LBP) is the leading global cause of years lived with disability. The Global Burden of Disease (GBD) 2021 analysis reported 619 million prevalent cases in 2020, with projections rising to 843 million by 2050, confirming LBP as the condition with the highest worldwide disability burden [1]. Findings from the GBD 2023 study show that musculoskeletal disorders, including LBP, continue to contribute substantially to noncommunicable disease morbidity, and that the burden attributable to LBP is increasing in parallel with global population ageing [2]. In Saudi Arabia, LBP has consistently ranked as the leading cause of age-standardised disability among both males and females [3]. Its impact extends beyond pain and includes reduced quality of life, increased use of healthcare services, work absenteeism, and considerable long-term socioeconomic costs [4,5,6,7]. These consequences highlight the need for nationally standardised, evidence-based clinical guidance that reflects the characteristics of the population and healthcare system in Saudi Arabia. In the absence of such guidance, clinical practice may rely on outdated protocols, non-validated assessment methods, and treatments that are not consistently aligned with current evidence. This contributes to variation in care quality and avoidable use of healthcare resources.
LBP results from the interaction of biological, psychological and social factors. Many spinal structures are capable of producing pain [8], yet routine clinical examination and diagnostic imaging rarely identify a single anatomical source. As a result, most patients are classified as having non-specific LBP. Serious spinal pathology is rare in primary care and occurs in fewer than 1% of cases [9]. Although many patients improve within weeks or months, a substantial proportion experience persistent or fluctuating symptoms, recurrent episodes, or ongoing functional limitations [8]. Sciatica usually arises from lumbar nerve root compression or irritation, which is most often caused by disc protrusion or narrowing of the spinal canal. It may be associated with radicular pain and neurological deficits that include muscle weakness, sensory disturbance, or altered reflexes [10]. This diagnostic and prognostic complexity can lead to inconsistencies in clinical decision-making, unnecessary investigations, and continued use of interventions whose effectiveness or appropriateness is not well-supported by current evidence.
Epidemiological studies conducted in Saudi Arabia show a high and persistent burden of LBP across different population groups. Community-based studies conducted before the COVID-19 pandemic reported prevalence estimates ranging from 23.8% to 38.8% [6,11,12], and one study observed an increase from 38.8% before quarantine to 43.8% during quarantine [12]. Saudi studies have also reported associations between LBP and older age, hypertension, arthritis, anaemia, osteoporosis, and previous fractures [6,11]. Stress urinary incontinence appears more common among individuals with LBP, with reported rates of 60% compared with 20% among those without LBP [13]. Vitamin D deficiency may represent an additional regional factor. One Saudi cohort found low 25-hydroxyvitamin D levels in 83% of patients with chronic LBP [14], which is consistent with wider regional findings [15,16]. High prevalence has been documented across multiple occupational and population groups, including healthcare workers, allied health professionals, educators, construction workers, and students [17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35].
However, much of the available Saudi epidemiological evidence is derived from cross-sectional and self-reported studies conducted in specific populations, which limits causal inference and generalisability to the broader population. Importantly, despite the documented burden of LBP, there are currently no nationally standardised care pathways describing how patients with LBP are assessed, referred, and managed across healthcare sectors in Saudi Arabia. As a result, patients may follow different routes of care across primary, secondary, and private healthcare services, with referral-based processes in the public sector potentially delaying access to interventions (e.g., physiotherapy).
This clinical practice guideline was developed by a multidisciplinary Task Force convened under the National Guidelines Programme. The Programme was established in 2021 by the Ministry of Health (MoH) and the Health Holding Company as part of the broader healthcare transformation initiative of Vision 2030. In 2022, responsibility for national guideline development was transferred to the National Centre for Evidence-Based Medicine at the Saudi Health Council [36]. This structure ensures the use of standardised, transparent, and methodologically robust development processes designed to enhance clinical consistency, reduce unwarranted variation, and support the delivery of high-quality, evidence-based care across healthcare sectors. Within this framework, the present guideline aims to replace heterogeneous or outdated approaches with clear, updated and locally relevant recommendations that discourage low-value or non-validated practices and support more rational and efficient use of diagnostic and therapeutic options for LBP in Saudi Arabia.
1.1. Scope
This guideline was adapted from the National Institute for Health and Care Excellence (NICE) guideline NG59, titled “Low back pain and sciatica in over 16 s: assessment and management” [37]. The Task Force selected, updated, and adapted ten clinical questions from this NICE guideline to generate recommendations relevant to key areas of assessment and management in Saudi Arabia. Such areas include the use of risk assessment and clinical prediction tools, imaging, pharmacological and psychological therapies, multidisciplinary and return to work interventions, epidural injections, prognostic significance of image-concordant pathology, and the role of locally invasive procedures or surgery. An additional question addresses pain neuroscience education, based on a systematic review [38]. This guideline focuses on adults with non-specific LBP and sciatica. It does not address serious spinal pathology such as infection, malignancy or fracture, inflammatory causes of LBP or sciatica with progressive neurological deficit, or suspected cauda equina syndrome.
1.2. Objectives
The objective of this guideline is to support consistent, high-quality, and evidence-based clinical decision-making for adults with non-specific LBP or sciatica within the Saudi healthcare system. By adapting and contextualising NICE guideline NG59, the guideline ensures that assessment and management strategies are informed by current international evidence while reflecting clinical, organisational, and population characteristics relevant to Saudi Arabia. Specifically, the guideline aims to promote evidence-based and patient-centred care, reduce unwarranted variation in assessment and management, improve consistency across healthcare sectors, and align clinical practice with national healthcare transformation priorities. The recommendations are designed to provide clear and practical guidance while allowing for individualised management based on each patient’s clinical presentation, preferences, and circumstances. In addition, the guideline seeks to encourage a shift away from interventions with limited or uncertain benefit toward approaches supported by stronger evidence of effectiveness and safety.
1.3. Target Population
This guideline applies to adults aged 16 years and older who present with non-specific LBP or sciatica in primary, secondary, or tertiary care settings in Saudi Arabia. The lower age threshold of 16 years was adopted to ensure methodological consistency with the source guideline used for adaptation, NICE Guideline NG59, which defines its target population for LBP and sciatica as individuals aged 16 years and older. Age 16 is used as the clinical transition point, marking entry into adult LBP care pathways. It does not cover serious spinal pathology, inflammatory back pain or sciatica accompanied by progressive neurological deficit, or suspected cauda equina syndrome. The guideline may also assist individuals with LBP, as well as their families and caregivers, in understanding recommended approaches to assessment and management.
1.4. End-Users
The guideline is intended for healthcare professionals involved in the management of adults with LBP. These include primary care physicians, neurologists, neurosurgeons, spine surgeons, orthopaedic surgeons, rheumatologists, emergency physicians, internists, physiotherapists, psychologists, pain management specialists, nurses, and allied health practitioners. It is also relevant to administrators and policymakers responsible for planning and organising LBP-related healthcare services in Saudi Arabia.
1.5. How to Use This Guideline
This guideline is designed to support clinicians and patients in making evidence-based decisions regarding the assessment and management of LBP. As in all guidelines developed using the GRADE approach, recommendations should be interpreted together with the accompanying explanatory statements. These statements describe the key considerations that informed the Task Force’s judgements, including anticipated benefits and harms, patient values and preferences, feasibility and acceptability, resource implications, and equity considerations.
The recommendations are not intended to function as rigid standards of care or as a uniform approach applicable to all patients. Clinical variation is expected due to the heterogeneous nature of LBP presentations and differences across care settings. Healthcare professionals should integrate the recommendations with their clinical expertise and with each patient’s preferences, comorbidities, expectations, and goals. Applying the recommendations in this manner supports the delivery of safe, effective evidence-based, and patient-centred care across the Saudi healthcare system.
2. Materials and Methods
2.1. Guideline Development Framework
This national guideline was developed using the GRADE-ADOLOPMENT methodology [39], an internationally recognised and rigorously defined approach that supports the adoption, adaptation and, when required, de novo development of recommendations. This methodology was selected to ensure that the final recommendations reflect the best available international evidence while remaining responsive to the clinical, cultural, and health-system context of Saudi Arabia. In line with this approach, the Task Force began by identifying high-quality source guidelines and systematic reviews suitable for adaptation. The NICE guideline NG59 [37] was selected as the primary source guideline over other available guidelines based on its methodological quality, scope, and international relevance. This selection was made following a structured vote among Task Force members, with written justifications documented to support the final decision. One additional clinical question concerning pain neuroscience education was incorporated using a systematic review [38].
2.2. Organisation and Governance
Guideline development was overseen by the Task Force, a multidisciplinary group of local experts in LBP representing rheumatology, orthopaedic and spine surgery, physical therapy, rehabilitation, and anaesthesiology. Members were drawn from the MoH, academic institutions, military hospitals, and National Guard facilities. This composition ensured broad clinical expertise, regional representation and an understanding of health-system variation across Saudi Arabia. Several members had advanced training in epidemiology and clinical guideline methodology, which strengthened the methodological integrity of the development process. All Task Force members successfully completed Level 1 of the Clinical Group or Panel Member course within the INGUIDE programme, authorised by McMaster University, ensuring a shared foundation in evidence-based guideline development. The Task Force was supported by an international Guideline Support Team based at, or contracted by, Elsevier. The Support Team provided methodological guidance; conducted all the literature searches; performed data screening and extraction; prepared GRADE evidence profiles; developed Evidence-to-Decision (EtD) frameworks; and assisted with dissemination and early implementation planning. Collaboration between the Task Force and the Support Team was maintained through structured and frequent communication.
2.3. Selection of Clinical Questions and Prioritisation of Outcomes
The scope of the guideline was defined through a systematic search for potential source guidelines, followed by structured appraisal using the AGREE II instrument [40]. The NICE guideline was selected as the principal source based on its methodological quality and relevance. Task Force members subsequently completed an online survey in which they rated the importance of proposed clinical questions on a nine-point scale. Ten clinical questions were selected from NICE guideline NG59 [37]. An additional question on pain neuroscience education was added at the request of the Task Force, resulting in a total of eleven clinical questions.
Outcome identification and prioritisation were undertaken through an iterative process that combined online surveys with facilitated workshops. These workshops, held on 21 March and 13 April 2022, enabled the Task Force to distinguish between outcomes considered critical for decision-making and those regarded as important but not critical. Prioritised outcomes included those defined in the source guideline and additional outcomes identified by the Task Force as clinically relevant in the Saudi context. Decisions throughout the scoping and prioritisation stages were reached by consensus.
2.4. Search Strategy
The evidence for all clinical questions was updated through comprehensive literature searches conducted by the Guideline Support Team between 27 April and 19 May 2022. These searches replicated, as closely as possible, the strategies used in NICE guideline NG59 [37] and the systematic review on pain neuroscience education [38], ensuring methodological continuity with the source documents. Searches were conducted in PubMed, Embase, and the Cochrane Library, covering 1 January 2016 to 4 May 2022 for PubMed and Embase, and January 2016 to May 2022 for Cochrane.
High-sensitivity strategies were developed that combined controlled vocabulary terms (e.g., MeSH and Emtree) with text words and incorporated validated methodological filters relevant to LBP, sciatica and risk assessment or prognostic tools. Search strategies were adapted only to account for updated database interfaces, indexing changes, and the extended time window. Full search strategies for each clinical question, including all PubMed, Embase, and Cochrane search blocks, are provided in Supplementary Material S1.
All citations were imported into a reference management system and deduplicated before screening to ensure complete coverage of the evidence base without redundancy, which was particularly important given overlapping database scopes. Searches were configured to retrieve randomised controlled trials (RCTs), cohort studies, non-randomised studies, and systematic reviews involving adults aged 16 years or older with non-specific LBP or sciatica.
In addition, the Support Team conducted targeted searches using PubMed and Embase. Searches for epidemiological data were conducted between 1 April 2017 and 28 April 2022, focusing on incidence and prevalence of interventions and outcomes relevant to the clinical questions. Additional searches were conducted between 28 April and 5 May 2022 to identify local and regional evidence related to contextual factors, such as patient values and preferences, equity, feasibility, acceptability, implementation issues, and costs (Supplementary Material S1).
2.5. Study Selection
After deduplication, search results for the clinical questions were uploaded to the Cadima platform. Two reviewers independently screened all records. Screening occurred in two stages. First, titles and abstracts were assessed against predefined inclusion and exclusion criteria aligned with the PICO specifications for each clinical question. Studies meeting or potentially meeting criteria were retrieved in full text. Second, full texts were independently assessed by both reviewers. Disagreements were resolved through structured discussion to ensure consistent and transparent decision-making. The same rigorous processes were utilised for the appraisal of search results on contextual factors.
2.6. Data Extraction and Risk of Bias Assessment
All included studies underwent detailed data extraction using prespecified structured templates. These templates captured study design, participant characteristics, intervention and comparator descriptions, outcome definitions, numerical results, subgroup analyses, follow-up periods and any methodological limitations. Embedded fields corresponding to each domain of the relevant risk of bias tool ensured systematic evaluation of randomisation, allocation concealment, blinding, outcome assessment, attrition, reporting completeness, and other potential sources of bias. One reviewer performed extraction and a second reviewer independently verified all entries. Risk of bias assessments were conducted using domain-based frameworks aligned with Cochrane guidance and the criteria applied in the source guideline. All assessments were completed independently by two reviewers, with disagreements resolved through discussion.
2.7. Evidence Synthesis
Extracted numerical data were transferred to RevMan (version 5.4; The Cochrane Collaboration, Copenhagen, Denmark), this software used to generate effect estimates, forest plots, and summary tables. The use of RevMan ensured consistency with the NICE guideline development process. For each clinical question, meta-analysis was performed when studies were sufficiently homogeneous in population, intervention, outcomes, and methods. When meta-analysis was not feasible, structured narrative synthesis was undertaken. RevMan outputs, including forest plots, risk of bias figures and effect estimates, were imported into the GRADEpro platform (McMaster University and Evidence Prime) to produce Summary of Findings tables and detailed GRADE evidence profiles. These profiles were then reviewed by a second Support Team member to confirm internal accuracy and consistency.
Findings from included studies on contextual factors, which included systematic reviews and regional primary studies, were summarised narratively to support the interpretation and applicability of guideline recommendations.
2.8. Certainty of Evidence
Certainty of evidence for each outcome was assessed using the GRADE framework, which evaluates risk of bias, inconsistency, indirectness, imprecision, and publication bias [39]. Certainty was classified as high, moderate, low, or very low [41]. High certainty indicates strong confidence that the true effect is close to the estimate. Moderate certainty reflects moderate confidence, with the true effect likely to be similar. Low certainty indicates limited confidence, with the true effect potentially differing substantially. Very low certainty indicates very limited confidence and a high likelihood that the true effect differs markedly from the estimate.
2.9. Development of Recommendations
Recommendations were developed during seven online meetings held between December 2022 and May 2023. Before each meeting, Task Force members reviewed the evidence and proposed EtD judgements via PanelVoice surveys in GRADEpro. During the meetings, the methodologist co-chair presented key evidence, and the Task Force reviewed all EtD criteria. Judgements were finalised through discussion or, when necessary, by a 60% vote, with differing views recorded. After completing all judgements for a clinical question, the Task Force voted on the final recommendation.
The complete guideline underwent external peer review by independent experts. After revisions based on their feedback, the guideline was submitted to the Scientific Committee of the Saudi Health Council, which approved and formally endorsed it as a national guideline.
Recommendations were categorised as strong or conditional in accordance with the GRADE approach. Strong recommendations reflect high confidence that desirable effects outweigh undesirable effects for most patients. Conditional recommendations reflect situations in which the balance depends more heavily on patient preferences, clinical context, or lower certainty. When evidence was insufficient to judge the balance of effects, the Task Force issued no recommendation for or against the intervention. Recommendations against a given option were made when the overall harms were judged to outweigh the benefits, with the strength reflecting the certainty of evidence and the extent to which clinicians should avoid its use. The predetermined consensus threshold was 60%, consistent with thresholds reported in the guideline development literature and applied uniformly across all clinical questions.
3. Results
This section summarises 11 national guideline recommendations in Saudi Arabia, each structured by clinical question, recommendation, evidence summary, benefits and harms, certainty of evidence, and contextual factors. Quantitative results are presented in the accompanying tables, while forest plots, including effect estimates and risk of bias assessments for each meta-analysis, are provided in Supplementary Material S2. Figure 1 presents a summary of the 11 recommendations, including the classification of each recommendation and the corresponding certainty of evidence.
Figure 1.
Summary of the 11 recommendations from the Saudi clinical practice guideline for the assessment and management of low back pain and sciatica in adults. Each recommendation is displayed with its classification (strong or conditional) and the corresponding GRADE certainty of evidence (high, moderate, low, or very low).
3.1. Risk Assessment Tools
3.1.1. Question
Should validated risk assessment tools versus no validated risk assessment tools be used for screening patients with LBP and/or sciatica who are at risk of poor outcome or delayed improvement?
3.1.2. Recommendation
In patients with LBP and/or sciatica, the Task Force recommends using validated risk assessment tools, such as the STarT Back Screening Tool (SBST), following clinical examination (strong recommendation, very low certainty of evidence). Although the certainty of the supporting evidence is very low, the Task Force judged that the clear net clinical benefit and the appropriateness of this intervention in the Saudi context justify a strong recommendation. Validated risk assessment tools should be considered at the first clinical encounter to help identify patients who may need further treatment, including those who return for subsequent consultations. These tools are intended to support, rather than replace, clinical decision-making.
3.1.3. Evidence Summary
The NICE guideline [37] identified ten observational studies [42,43,44,45,46,47,48,49,50,51] and conducted a meta-analysis that compared the effects of using validated risk assessment tools after clinical examination versus not using such tools for screening patients with LBP and/or sciatica who are at risk of poor outcomes or slow recovery. The update search identified no additional eligible studies. Evidence was available for discrimination, reported using area under the curve (AUC) and sensitivity and specificity, and for calibration, reported using R-squared (R2) values, for the outcomes of pain and function. No evidence on reclassification was identified. All studies were conducted in an LBP population, two of which included mixed samples of patients with or without additional sciatica. The risk assessment tools evaluated in the included studies are listed in Supplementary Material S3.
3.1.4. Benefits and Harms
The included studies assessed the prognostic performance of validated risk assessment tools, with evidence available for discrimination (AUC, sensitivity, specificity) and, for some tools, calibration (R2). Across primary and secondary care settings, the SBST [42,43,46,47,48,49,51] was judged to be a reasonably useful risk assessment tool, consistently demonstrating moderate to high discrimination for predicting pain and functional outcomes at 3, 6, and 12 months. Reported AUC values generally ranged from approximately 0.66 to 0.82, with one primary care study reporting 80% sensitivity and 65% specificity for functional improvement. The NICE guideline similarly reported moderate calibration. Evidence for other tools was very uncertain, but some findings suggested moderate discrimination for selected outcomes. The Chronic Pain Risk Item Set [43] demonstrated moderate discrimination for predicting pain. The Low Back Pain Perception Scale [45] showed low discrimination for recovery, despite reporting reasonable calibration metrics. The modified Örebro Musculoskeletal Pain Questionnaire [44] demonstrated moderate discrimination for problem severity, although discrimination was poor at lower thresholds and calibration performance was weak. The Oswestry Disability Index (ODI) [50] showed high discrimination for predicting functional improvement at 1 month. Further details are summarised in Table 1.
Table 1.
Benefits of validated risk assessment tools.
| Instrument | Outcome | Time Frame | Effect Estimate | Conclusion | GRADE Certainty |
|---|---|---|---|---|---|
| SBST | To predict pain a [42,43,46,47,48,51] | 12 mos | AUC 0.71 (95% CI 0.54 to 0.88) | May be a reasonably useful tool | Very low |
| 6 mos | AUC 0.73 (95% CI 0.72 to 0.73) | ||||
| 6 mos | AUC 0.66 (95% CI 0.46 to 0.85) | ||||
| 3 mos | AUC 0.79 (95% CI 0.68 to 0.89) | ||||
| 3 mos | AUC 0.68 (95% CI 0.55 to 0.81) | ||||
| To predict functional improvement b [42,47,48,49,51] | 12 mos | AUC 0.82 (range 0.61 to 0.10) | May be a reasonably useful tool | Very low | |
| 6 mos | AUC 0.77 (range 0.69 to 0.84) | ||||
| 6 mos | AUC 0.82 (range 0.73 to 0.90); Sensitivity 80.1%; Specificity 65.4% | ||||
| 3 mos | AUC 0.71 (range 0.66 to 0.77) | ||||
| 3 mos | AUC 0.81 (range 0.78 to 0.84) | ||||
| CPRIS | To predict pain [43] | 4 mos | AUC 0.79 (95% CI 0.75 to 0.83); Sensitivity 72%; Specificity 70% | Very uncertain effect | Very low |
| LBPPS | To predict recovery from pain [45] | 12 mos | Recovery cut-off ≥2: AUC 0.59 (95% CI 0.52 to 0.66); Sensitivity 80%; Specificity 27%. Recovery cut-off ≥4: AUC 0.59 (95% CI 0.52 to 0.66); Sensitivity 30%; Specificity 81%. Calibration: intercept 0.02 (95% CI 0.02 to 0.03). |
Very uncertain effect | Very low |
| ÖMPQ | To predict problem severity [44] | 6 mos | AUC 0.88 (95% CI 0.78 to 0.99); Sensitivity 88%; Specificity 85.7% | Very uncertain effect | Very low |
| ODI | To predict functional improvement [50] | 1 mo | AUC 0.93 (95% CI 0.88 to 0.98) | Very uncertain effect | Very low |
Abbreviations: SBST, STarT Back Screening Tool; CPRIS, Chronic Pain Risk Item Set; LBPPS, Low Back Pain Perception Scale; ÖMPQ, Modified Örebro Musculoskeletal Pain Questionnaire; ODI, Oswestry Disability Index; mos, months; mo, month; AUC, area under the curve; CI, confidence interval. a Assessed using a Numeric Rating Scale, and the Patient’s Global Impression of Change scale. b Assessed using a variety of methods including self-reporting, Oswestry Disability Index, Roland–Morris Disability Questionnaire, and the Global Rating of Change.
3.1.5. Certainty of Evidence
The overall certainty in the evidence of effects was judged to be very low, based on the lowest certainty rating across the critical outcomes. This was due to very serious risk of bias in the included studies and serious imprecision in the effect estimates.
3.1.6. Contextual Factors
No direct evidence was identified for any contextual factor domains, so judgements relied on Task Force experience (Table 2). Patients may have greater confidence in imaging than questionnaires, creating uncertainty and variability in values and preferences. Resource requirements were judged minimal due to low item costs, brief training, and short application time, and the early identification of patients is likely to benefit and may support favourable cost-effectiveness. Implementation across settings with negligible expense may improve equity, and the tools were considered simple, acceptable to clinicians and decision-makers, and feasible to integrate into routine care.
Table 2.
Contextual factors for risk assessment tools.
| GRADE EtD Domain | Evidence Identified | Task Force Judgement | Implications for Saudi Arabia |
|---|---|---|---|
| Values and preferences | No | Patients tend to have greater confidence in imaging than questionnaire-based assessments, with important uncertainty and variability in preferences. | Variability in preferences is likely. |
| Resource use and cost-effectiveness | No | Costs are negligible and tools can be administered by clinicians; stratification may reduce unnecessary resource use and cost-effectiveness probably favours the intervention. | Minimal cost with potential savings; likely acceptable. |
| Equity | No | Tools can be implemented across settings at minimal expense and may support more efficient allocation of resources. | Probably increases equity given universal coverage. |
| Acceptability | No | Tools are straightforward and user-friendly and are probably acceptable to patients, clinicians, and decision-makers, although some patients may prefer imaging. | Probably acceptable overall. |
| Feasibility | No | Tools require only training and administration time and can be applied across clinical scenarios. | Feasible across healthcare settings. |
Abbreviations: EtD, Evidence-to-Decision.
3.2. Stratifying Management
3.2.1. Question
Should validated risk assessment or clinical prediction tools, compared with no tools or with each other, be used to stratify the management of patients with non-specific LBP and/or sciatica based on the outcome of the tool or questionnaire?
3.2.2. Recommendation
In patients with non-specific LBP and/or sciatica, the Task Force recommends using validated risk assessment or clinical prediction tools (e.g., SBST) (strong recommendation, moderate certainty of evidence). Some tools, including SBST, stratify patients according to their risk of chronicity and disability, and the Task Force agreed that intervention protocols should incorporate this stratification.
3.2.3. Evidence Summary
The NICE guideline [37] identified two RCTs [52,53] comparing stratified management (using SBST) with non-stratified care. The update search found no additional eligible trials. The Task Force identified one further RCT (MATCH) for inclusion [54]. The evidence showed no clinically important difference between stratified care and usual care for most outcomes, including pain, function, mental quality of life, and psychological distress. However, improvement in the physical component score of the 12-Item Short Form Survey (SF-12) was observed in favour of stratified care at >4 months. A detailed description of the stratification tools evaluated in the included studies is provided in Supplementary Material S3.
3.2.4. Benefits and Harms
The evidence for this question comes from two RCTs included in the NICE guideline [37] and one additional trial identified by the Task Force [52]. These studies evaluated the use of the SBST to guide stratified management for non-specific LBP and sciatica. The evidence suggests that stratified care increases physical quality of life, with one trial reporting a significant improvement in the SF-12 physical component score [52]. For mental quality of life (SF-12), pain severity (Visual Analog Scale [VAS]), psychological distress (Hospital Anxiety and Depression Scale [HADS]), and functional status (Roland–Morris Disability Questionnaire [RMDQ]), the evidence probably results in little to no difference compared with non-stratified care [52,54]. The evidence is very uncertain regarding the effect of stratified care on healthcare utilisation (prescribing, investigations, hospitalisation, or health-professional visits), primarily due to wide confidence intervals and imprecision, and the available data showed no clear reduction in prescribing, investigations, hospitalisation, or health-professional visits [53]. All effect estimates are summarised in Table 3.
Table 3.
Benefits of stratified management using SBST.
| Instrument | Outcome | Time Frame | Effect Estimate | Conclusion | GRADE Certainty |
|---|---|---|---|---|---|
| SF-12 [52] | Quality of life (physical) | >4 mos | MD 2.3 (95% CI 0.73 to 3.87) | Increases quality of life | High |
| Quality of life (mental) | >4 mos | MD 0.5 (95% CI −1.39 to 2.39) | Probably little to no difference | Moderate | |
| VAS [52] | Pain severity | >4 mos | MD −0.2 (95% CI −0.58 to 0.18) | Probably little to no difference | Moderate |
| HADS [52] | Anxiety | >4 mos | MD −0.3 (95% CI −0.9 to 0.3) | Probably little to no difference | Moderate |
| Depression | >4 mos | MD −0.5 (95% CI −1.08 to 0.08) | Probably little to no difference | Moderate | |
| RMDQ [52,54] | Function | >4 mos | MD −0.65 (95% CI −1.34 to 0.04) | Probably little to no difference | High |
| Various [53] | Healthcare utilisation a | Not reported | RR 0.95 (95% CI 0.51 to 1.78) | Very uncertain effect | Very low |
Abbreviations: STarT Back Screening Tool, SBST; SF-12, 12-Item Short Form Survey; VAS, Visual Analogue Scale; HADS, Hospital Anxiety and Depression Scale; RMDQ, Roland–Morris Disability Questionnaire; mos, months; MD, mean difference; CI, confidence interval; RR, risk ratio. a Included prescribing, investigations, hospitalisation, or health professional visit.
3.2.5. Certainty of Evidence
The overall certainty in the evidence of effects was judged to be moderate, based on the lowest certainty rating across the critical outcomes, due to serious imprecision.
3.2.6. Contextual Factors
No direct evidence was identified for any contextual factor domains apart from the cost-utility analyses reported in the NICE source guideline, so judgements otherwise relied on the Task Force’s experience (Table 4). There were important uncertainty and variability in patients’ values and preferences. Resource requirements were considered minimal because validated risk assessment and clinical prediction tools incur no additional costs and can be delivered by clinicians. Two cost-utility analyses reported in the NICE source guideline [55,56] found that stratification-based intervention using SBST dominated usual care, indicating favourable cost-effectiveness. Given Saudi Arabia’s comprehensive health coverage, implementing these tools may enhance equity by supporting more efficient distribution of services. The tools were also regarded as acceptable to patients, clinicians, and decision-makers, and feasible to implement consistently across routine healthcare settings.
Table 4.
Contextual factors for stratifying management.
| GRADE EtD Domain | Evidence Identified | Task Force Judgement | Implications for Saudi Arabia |
|---|---|---|---|
| Values and preferences | No | Patients tend to have greater confidence in imaging than questionnaire-based assessments, with important uncertainty and variability in values and preferences. | Variability in preferences is expected. |
| Resource use and cost-effectiveness | Yes | Two cost-utility analyses [55,56] showed stratification using SBST reduced costs and increased QALYs. The Task Force judged the tools cost-free to deliver, producing moderate savings and likely favourable cost-effectiveness. | Probably cost-effective with minimal cost. |
| Equity | No | Tools can be implemented across settings with minimal expense and may support more efficient allocation of resources. | Likely increases equity given universal coverage. |
| Acceptability | No | Tools are straightforward and user-friendly and are probably acceptable to patients, clinicians, and decision-makers, although some patients may prefer imaging. | Probably acceptable overall. |
| Feasibility | No | Require only training and administration time and can be applied across clinical scenarios. | Feasible across healthcare settings. |
Abbreviations: EtD, Evidence-to-Decision; STarT Back Screening Tool, SBST; QALYs, quality-adjusted life years.
3.3. Imaging
3.3.1. Question
Should imaging (plain radiography [X-ray] or magnetic resonance imaging [MRI]) versus no investigation be used to improve functional disability, pain, or psychological distress in patients with LBP and/or sciatica?
3.3.2. Recommendation
In patients with LBP and/or sciatica, the Task Force does not make a recommendation for or against performing imaging (X-ray or MRI) to improve functional disability, pain, or psychological distress (conditional recommendation, low certainty of evidence). Although patients often seek imaging for reassurance, imaging findings (e.g., disc and joint degeneration) rarely confirm or refute clinical impressions and frequently reveal changes that are also observed in asymptomatic individuals. The Task Force agreed that imaging should be undertaken only when red flags are present or when the results are likely to influence subsequent management decisions. Patients with additional medical conditions (e.g., cancer, osteoporosis, previous spinal fracture, recent infection unexplained significant weight loss, or suspected osteomyelitis) or a history of malignancy may require imaging to exclude serious pathology. When red flags are present, imaging should be performed within specialist settings. Referrals to specialist care should be made for the purpose of obtaining a clinical assessment rather than with the expectation that imaging will necessarily be performed. In circumstances where imaging is unlikely to alter management, individuals may be more willing to accept the decision not to undergo imaging when this is advised by specialist clinicians.
3.3.3. Evidence Summary
The NICE clinical practice guideline [37] described several imaging modalities available for the assessment of spinal pathology. X-ray imaging is inexpensive and readily accessible but provides limited information on soft tissue and is mainly useful for fracture follow-up and assessment of alignment. MRI provides detailed information on spinal cord, discs, and ligaments without radiation exposure but remains relatively costly. Imaging should be guided by clinical assessment rather than used as a screening tool. Three RCTs [57,58,59] were identified by the NICE clinical practice guideline [37] evaluating the effects of imaging versus no imaging on outcomes >4 months in patients with LBP with or without sciatica. Two trials compared X-ray with no imaging, and one compared MRI with no imaging. The update search identified no additional studies.
3.3.4. Benefits and Harms
RCTs compared imaging with no imaging in adults with LBP with or without sciatica at >4 months to 1 year. The evidence suggests that imaging improves health-related quality of life, specifically the SF-36 bodily pain and SF-36 mental health subscales [57,58], and improved pain severity on the Aberdeen Low Back Pain Score in one study [57]. Imaging also increases healthcare utilisation, including repeat imaging and outpatient consultations [57,59]. In contrast, the evidence probably results in little to no difference in function, the SF-36 physical functioning subscale, and psychological distress measured using the HADS anxiety and depression subscales [57,58]. Other healthcare utilisation outcomes (including hospital admission, prescribed drugs, referrals, and primary-care consultations) also probably results in little to no difference, although the findings were characterised by wide uncertainty [57,58,59]. No adverse events were reported in any of the included studies. All effect estimates are summarised in Table 5.
Table 5.
Benefits of imaging.
| Instrument | Outcome | Time Frame | Effect Estimate | Conclusion | GRADE Certainty |
|---|---|---|---|---|---|
| SF-36 | Quality of life (bodily pain) [57,58] | >4 mos–1 y | MD 3.97 (95% CI 0.36 to 7.59) | Improves bodily pain | High |
| Quality of life (mental health) [57,58] | >4 mos–1 y | MD 2.77 (95% CI 0.03 to 5.51) | Improves mental health | Moderate | |
| ALBPS | Pain severity [57] | >4 mos–1 y | MD −4.2 (95% CI −7.17 to −1.23) | Reduces pain | High |
| Various (healthcare utilisation) | Imaging at least once [57] | >4 mos–1 y | RR 3.04 (95% CI 2.60 to 3.55) | Increases imaging | High |
| Outpatient consultation [57,59] | >4 mos–1 y | RR 1.24 (95% CI 1.14 to 1.35) | Increases outpatient visits | Moderate | |
| RMDQ | Function [58] | >4 mos–1 y | MD 0.2 (95% CI −1.88 to 2.28) | Probably little to no difference | Low |
| SF-36 | Quality of life (physical functioning) [57,58] | >4 mos–1 y | MD 3.25 (95% CI −0.6 to 7.11) | Probably little to no difference | Moderate |
| HADS | Psychological distress (anxiety) [58] | >4 mos–1 y | MD −0.4 (95% CI −2.08 to 1.28) | Probably little to no difference | Low |
| Psychological distress (depression) [58] | >4 mos–1 y | MD −0.3 (95% CI −1.68 to 1.08) | Probably little to no difference | Low | |
| Various (healthcare utilisation) | Hospital admission [57,59] | >4 mos–1 y | RR 1.25 (95% CI 0.77 to 2.05) | Probably little to no difference | Very low |
| Prescribed drugs [59] | >4 mos–1 y | RR 1.17 (95% CI 0.84 to 1.62) | Probably little to no difference | Very low | |
| Referral to physiotherapy/other professionals [58] | >4 mos–1 y | RR 0.97 (95% CI 0.67 to 1.39) | Probably little to no difference | Low | |
| Primary care consultation [57] | >4 mos–1 y | RR 1.01 (95% CI 0.92 to 1.11) | Probably little to no difference | Moderate |
Abbreviations: SF-36, 36-Item Short Form Survey; ALBPS, Aberdeen Low Back Pain Score; RMDQ, Roland–Morris Disability Questionnaire; HADS, Hospital Anxiety and Depression Scale; mos, months; y, year; MD, mean difference; CI, confidence interval; RR, risk ratio.
3.3.5. Certainty of Evidence
The overall certainty in the evidence of effects was judged to be low based on the lowest certainty rating across critical outcomes, due to serious risk of bias, serious inconsistency, and very serious imprecision.
3.3.6. Contextual Factors
Direct evidence for contextual factors was limited to resource use and cost-effectiveness; all other judgements relied on the Task Force’s experience only (Table 6). For values and preferences, the Task Force judged that there was probably no important variability in how patients prioritise outcomes, and that patient assessments of outcomes are likely similar. One study [60] showed that imaging increases costs, healthcare utilisation and possibly work absenteeism, and MoH data indicated that MRI is substantially more expensive than X-ray (Supplementary Material S4). A cost-utility analysis reported in the source guideline [57] found that early imaging increased costs but also improved quality-adjusted life years (QALYs), though with important limitations. Overall, the Task Force concluded that imaging entails moderate costs and that cost-effectiveness may favour comparison strategies rather than routine early imaging. MRI availability is limited in rural and vulnerable regions, whereas radiography is widely accessible, suggesting that imaging would probably increase equity. Imaging was considered acceptable to patients, clinicians and decision-makers, with X-ray feasible in most settings and MRI less feasible due to specialist requirements.
Table 6.
Contextual factors for imaging.
| GRADE EtD Domain | Evidence Identified | Task Force Judgement | Implications for Saudi Arabia |
|---|---|---|---|
| Values and preferences | No | Probably no important variability in how patients value outcomes. | Values expected to be similar across patients. |
| Resource use and cost-effectiveness | Yes | One study [60] showed imaging increases costs, utilisation and possibly absenteeism; MoH data showed MRI is high cost and X-ray moderate cost; one cost-utility analysis [57] found early imaging increased costs but improved QALYs. Overall, imaging leads to moderate costs and may be cost-effective depending on setting. | MRI high cost; X-ray accessible; selective imaging likely more cost-effective and preferable. |
| Equity | No | MRI less available in rural and vulnerable regions; X-ray widely accessible. | Likely increases equity due to comprehensive national coverage. |
| Acceptability | No | Imaging generally acceptable to patients, clinicians and decision-makers. | Probably acceptable overall. |
| Feasibility | No | X-ray feasible; MRI less feasible due to specialised equipment and staffing. | Feasible depending on modality. |
Abbreviations: EtD, Evidence-to-Decision; MoH, Ministry of Health; MRI, magnetic resonance imaging; X-ray, plain radiograph; QALYs, quality-adjusted life years.
3.4. Pharmacological Treatment
3.4.1. Question
Should pharmacological treatment versus placebo or usual care/waiting list, or one or more pharmacological interventions compared with each other, be used in patients with sciatica?
3.4.2. Recommendation
In patients with sciatica, the Task Force suggests using pharmacological treatment (conditional recommendation, very low certainty of evidence). The Task Force noted that the NICE Guideline Development Committee did not identify clear clinical benefit for any specific pharmacological agent and did not recommend one particular medicine as first-line treatment. Instead, non-pharmacological and invasive options should be considered as the basis for managing sciatica where appropriate. For individual drug classes, the NICE Guideline Development Committee made the following judgements [37], which are summarised in Table 7.
Table 7.
Summary of recommendations for pharmacological treatments in sciatica.
| Drug Class | Recommendation | Rationale |
|---|---|---|
| NSAIDs | No recommendation for or against use | Risk of harm and lack of clear evidence of benefit; evidence insufficient to support or oppose their use. |
| Benzodiazepines | Recommended against | Lack of evidence for benefit, evidence of worse pain outcomes, and risk of misuse. |
| Gabapentinoids and other antiepileptics | Recommended against | Limited evidence of benefit and increased risk of harm; no reason to expect other antiepileptics to be more effective or safer. |
| Oral corticosteroids | Recommended against | Small apparent improvements in quality of life from one study were not convincing; outweighed by evidence of harm; no benefit on pain severity or function. |
| Opioids | Short-term use may be beneficial for acute sciatica; recommended against for chronic sciatica | Consensus judgement: potential benefit for acute pain relief; lack of benefit for long-term use and increased risk of harm with prolonged use. |
| Antidepressants | No recommendation for or against use | Lack of direct evidence; commonly used; clinical experience suggests lower risk of harm compared with some other medicines (e.g., long-term opioids). |
| Paracetamol, nefopam, and non-benzodiazepine muscle relaxants | No recommendation for or against use | No direct evidence identified; not widely prescribed for management of sciatica alone. |
Abbreviations: NSAIDs, non-steroidal anti-inflammatory drugs.
3.4.3. Evidence Summary
The source guideline identified six RCTs [61,62,63,64,65,66] and conducted a meta-analysis comparing pharmacological treatment with placebo, usual care or waiting list, or comparing active treatments with each other in patients with LBP and/or sciatica. The update search identified two additional studies [67,68]. Trials evaluated four main comparisons: non-steroidal anti-inflammatory drugs (NSAIDs) versus placebo, benzodiazepines versus placebo, gabapentinoids versus placebo, and oral corticosteroids versus placebo. No RCTs were identified for paracetamol, opioids, antidepressants, nefopam, antiepileptic drugs other than gabapentinoids, or muscle relaxants other than benzodiazepines. Across studies, sample sizes ranged from 50 to over 500 participants and treatment durations varied from a few days to several weeks. The evidence base was limited by small numbers of trials per comparison, heterogeneity in drug regimens and outcomes, and imprecision of estimates.
3.4.4. Benefits and Harms
RCTs compared NSAIDs, benzodiazepines, gabapentinoids and oral corticosteroids with placebo for the management of sciatica [61,62,63,64,65,66,68]. The evidence suggests that NSAIDs probably result in little to no difference in pain severity (VAS) compared with placebo and may increase adverse events, with dyspepsia, nausea, abdominal pain, diarrhoea and one episode of anaphylactic shock reported [63,67]. Benzodiazepines resulted in worse outcomes for responder-defined pain relief (VAS) compared with placebo [62]. Gabapentinoids improved rest pain in one study but overall probably result in little to no difference in pain (Numeric Rating Scale [NRS]) or function (RMDQ) compared with placebo. They were associated with increased adverse events, although the evidence was very uncertain in some studies, with dizziness, somnolence, fatigue, reduced salivation, concentration difficulties, and increased sleep reported [61,65,68]. Corticosteroids probably result in little to no difference in function (ODI) or pain (NRS) compared with placebo, and increased adverse events, with insomnia, sweating, increased appetite, and nervousness were commonly reported [66]. All effect estimates are summarised in Table 8.
Table 8.
Benefits and potential harms of pharmacological treatments in sciatica.
| Treatment | Outcome (Instrument) |
Time Frame | Effect Estimate | Conclusion | GRADE Certainty |
|---|---|---|---|---|---|
| NSAIDs vs. placebo | Pain severity (VAS) [63] | ≤4 mos | MD −4.5 (95% CI −9.28 to 0.28) | Probably little to no difference | High |
| Adverse events (morbidity) [63,67] | ≤4 mos | RR 1.41 (95% CI 0.94 to 2.11) | Probably little to no difference a | Moderate | |
| Benzodiazepines vs. placebo | Responder (VAS, ≥50% pain reduction) [62] | ≤4 mos | RR 0.52 (95% CI 0.33 to 0.84) | Worse outcomes | Moderate |
| Gabapentinoids vs. placebo | Pain at rest [65] | ≤4 mos | MD −0.8 (95% CI −1.15 to −0.45) | Reduces pain | Moderate |
| Pain severity (NRS) [61,64] | ≤4 mos | MD −0.16 (95% CI −0.53 to 0.21) | Probably little to no difference | Moderate | |
| Pain severity (NRS) [64] | >4 mos | MD 0.4 (95% CI −0.45 to 1.25) | Probably little to no difference | Low | |
| Function (RMDQ) [64] | ≤4 mos | MD −0.1 (95% CI −2.21 to 2.01) | Probably little to no difference | Moderate | |
| >4 mos | MD 0.8 (95% CI −1.48 to 3.08) | Probably little to no difference | Moderate | ||
| Adverse events (morbidity) [61] | >4 mos | RR 1.54 (95% CI 1.17 to 2.02) | Worse outcomes | Moderate | |
| Adverse events (morbidity) [61,65,68] | ≤4 mos | RR 1.20 (95% CI 0.93 to 1.55) | Very uncertain b | Very low | |
| Corticosteroids vs. placebo | Function (ODI) [66] | ≤4 mos | MD −5.7 (95% CI −9.97 to −1.43) | Probably little to no difference | High |
| >4 mos | MD −7.4 (95% CI −12.68 to −2.12) | Probably little to no difference | High | ||
| Pain severity (NRS) [66] | ≤4 mos | MD −0.2 (95% CI −0.85 to 0.45) | Probably little to no difference | Moderate | |
| >4 mos | MD −0.6 (95% CI −1.35 to 0.15) | Probably little to no difference | Moderate | ||
| Adverse events (morbidity) [66] | ≤4 mos | RR 2.06 (95% CI 1.38 to 3.08) | Worse outcomes c | High |
Abbreviations: NSAIDs, non-steroidal anti-inflammatory drugs; VAS, Visual Analogue Scale; NRS, Numeric Rating Scale; RMDQ, Roland–Morris Disability Questionnaire; ODI, Oswestry Disability Index; mos, months; MD, mean difference; CI, confidence interval; RR, risk ratio. a Included mainly dyspepsia, nausea, abdominal pain, and diarrhoea. b Included dizziness, somnolence, fatigue, decreased salivation, concentration difficulties, and increased sleep. c Included insomnia, sweating, increased appetite, and nervousness.
3.4.5. Certainty of Evidence
The overall certainty in the evidence of effects was judged to be very low based on the lowest certainty in the evidence for the critical outcomes due to serious risk of bias, serious inconsistency, and very serious imprecision.
3.4.6. Contextual Factors
No direct evidence was identified for values, resource use, cost-effectiveness, equity, or feasibility, so judgements relied on the Task Force’s experience (Table 9). The Task Force considered that there was probably no important variability in patients’ values and preferences. Information from the Centre of Health Technology Assessment (MoH) indicated that medication costs per package are modest, and no evidence on resource requirements was identified. A cost-utility analysis comparing electroacupuncture with NSAIDs for chronic LBP [69] suggested greater cost-effectiveness for electroacupuncture, although this evidence is indirect for sciatica. Overall, the Task Force judged pharmacological treatment to involve negligible costs, with cost-effectiveness probably favouring its use when indicated. No evidence on equity was identified; given Saudi Arabia’s comprehensive health coverage, pharmacological treatment is unlikely to affect equity. Evidence on muscle relaxants [70] and antidepressants [71] indicated small or uncertain benefits and increased adverse events, but treatment was judged probably acceptable and feasible in routine care.
Table 9.
Contextual factors for pharmacological treatments in sciatica.
| GRADE EtD Domain | Evidence Identified | Task Force Judgement | Implications for Saudi Arabia |
|---|---|---|---|
| Values and preferences | No | Probably no important variability in how patients value outcomes. | Values likely similar across patients. |
| Resource use and cost-effectiveness | Yes | MoH cost per package data showed modest medication costs. One indirect cost-utility analysis [69] found electroacupuncture more cost-effective than NSAIDs in chronic LBP. Overall, pharmacological treatment involves negligible costs and cost-effectiveness probably favours its use. | Pharmacological treatment likely associated with negligible costs; cost-effectiveness acceptable when used appropriately. |
| Equity | No | Pharmacological treatment unlikely to affect equity under comprehensive national coverage. | Comprehensive coverage suggests minimal equity effect. |
| Acceptability | Yes | Evidence on muscle relaxants [70] showed small or uncertain benefit and increased adverse events; evidence on antidepressants [71] showed reduced pain but higher discontinuation. Despite this, pharmacological treatments remain widely used and are probably acceptable to patients, clinicians and decision-makers. | Probably acceptable to key stakeholders. |
| Feasibility | No | Pharmacological treatments are widely available and straightforward to prescribe, making implementation feasible across healthcare settings. | Feasible across healthcare settings. |
Abbreviations: EtD, Evidence-to-Decision; MoH, Ministry of Health; NSAIDs, non-steroidal anti-inflammatory drugs; LBP, low back pain.
3.5. Return to Work
3.5.1. Question
Should interventions or multidisciplinary programmes with a specified return to work focus (or including ergonomic interventions) versus placebo, usual care or waiting list, or versus one or more interventions compared with each other or other non-invasive interventions (either alone or in combination) be used in patients with non-specific LBP and/or sciatica?
3.5.2. Recommendation
In patients with non-specific LBP and/or sciatica, the Task Force suggests using interventions or multidisciplinary programmes with a specified return to work focus (or including ergonomic interventions) (conditional recommendation, low certainty of evidence).
3.5.3. Evidence Summary
The NICE guideline [37] identified three RCTs [72,73,74] and conducted a meta-analysis comparing the effects of interventions or multidisciplinary programmes with a specified return to work focus (or including ergonomic interventions) versus placebo, usual care or waiting list, or versus one or more interventions compared with each other, or other non-invasive interventions (either alone or in combination) in patients with non-specific LBP and/or sciatica. The update search identified no additional studies for inclusion. All three studies reported multidisciplinary programmes. In one trial [72], participants were initially randomised to a multidisciplinary return to work programme or usual care (primary randomisation), and those who remained sick-listed at 8 weeks underwent a secondary randomisation to either a unidisciplinary graded activity programme or usual care.
3.5.4. Benefits and Harms
RCTs of multidisciplinary programmes with a specified return to work focus, or including ergonomic components, suggest that these interventions improve days to return to work and return to work rates at ≤4 months [72], function (RMDQ) at >4 months [73], and several healthcare utilisation outcomes, including reduced physiotherapy, manual therapy, and medical specialist visits, and lead to fewer diagnostic tests and lower use of LBP medications [72]. One study indicated that they may improve return to work at >4 months [74]. These programmes probably result in little to no difference in quality of life (EuroQol 5-Dimension [EQ-5D]), function (RMDQ) and pain (NRS) at ≤4 months [72], and in occupational-physician and general-practitioner utilisation at the same time point [72]. For pain (NRS) [73,74] and psychological distress (Beck Depression Inventory [BDI]) [74] at >4 months, these programmes also probably result in little to no difference. All effect estimates are summarised in Table 10.
Table 10.
Benefits of interventions with a return to work focus.
| Instrument | Outcome | Time Frame | Effect Estimate | Conclusion | GRADE Certainty |
|---|---|---|---|---|---|
| Not specified | Days to return to work [72] | ≤4 mos | MD −29.98 (95% CI −53.6 to −6.36) | Reduces days to return to work | Low |
| Return to work [72] | ≤4 mos | HR 1.7 (95% CI 1.2 to 2.3) | Improves return to work rates | Low | |
| RMDQ | Function [73] | >4 mos | MD 2.73 (95% CI 2.47 to 2.99) | Improves function | Low |
| Various (healthcare utilisation) | Physiotherapist [72] | ≤4 mos | RR 0.56 (95% CI 0.39 to 0.82) | Reduces physiotherapy use | — |
| Manual therapist [72] | ≤4 mos | RR 0.31 (95% CI 0.13 to 0.72) | Reduces manual therapy use | — | |
| Medical specialist [72] | ≤4 mos | RR 0.46 (95% CI 0.26 to 0.81) | Reduces specialist visits | — | |
| Diagnostic tests [72] | ≤4 mos | RR 0.49 (95% CI 0.33 to 0.73) | Reduces diagnostic testing | — | |
| Drugs for back pain [72] | ≤4 mos | RR 0.70 (95% CI 0.49 to 0.99) | Reduces drug use | — | |
| Not specified | Return to work [74] | >4 mos | RR −1.39 (95% CI 0.96 to 2.02) | May improve return to work | Moderate |
| EQ-5D | Quality of life [72] | ≤4 mos | MD −0.05 (95% CI −0.13 to 0.03) | Probably little to no difference | High |
| RMDQ | Function [72] | ≤4 mos | MD 0.91 (95% CI −0.8 to 2.62) | Probably little to no difference | Moderate |
| NRS | Pain [72] | ≤4 mos | MD 0.21 (95% CI −0.55 to 0.97) | Probably little to no difference | Moderate |
| BDI | Psychological distress [74] | >4 mos | MD −1.3 (95% CI −4.71 to 2.11) | Probably little to no difference | Moderate |
| NRS | Pain [73] | >4 mos | MD −0.21 (95% CI −0.34 to −0.08) | Probably little to no difference | Moderate |
| Pain [74] | >4 mos | MD −1.16 (95% CI −2.12 to −0.20) | Probably little to no difference | Low | |
| Various (healthcare utilisation) | Occupational physician [72] | ≤4 mos | RR 0.64 (95% CI 0.32 to 1.31) | Probably little to no difference | — |
| General practitioner [72] | ≤4 mos | RR 0.70 (95% CI 0.43 to 2.06) | Probably little to no difference | — |
Abbreviations: RMDQ, Roland–Morris Disability Questionnaire; EQ-5D, EuroQol 5-Dimension; NRS, Numeric Rating Scale; BDI, Beck Depression Inventory; mos, months; MD, mean difference; CI, confidence interval; HR, hazard ratio; RR, risk ratio.
3.5.5. Certainty of Evidence
The overall certainty in the evidence of effects was judged to be low based on the lowest certainty in critical outcomes, reflecting serious risk of bias and very serious imprecision.
3.5.6. Contextual Factors
Direct evidence was available for values, resource use and cost-effectiveness, and acceptability, whereas equity and feasibility relied primarily on Task Force experience (Table 11). A systematic review [75] reported that multidisciplinary biopsychosocial rehabilitation is effective for non-specific LBP, although further research is required to establish its cost-effectiveness and impact on sick leave. Based on this evidence and their experience, the Task Force concluded that patients’ values and preferences were probably not subject to important variability. Two RCTs [72,73] included in the NICE guideline [37] conducted within-trial economic evaluations [76,77], which found that multidisciplinary return to work interventions incurred slightly higher direct costs than usual care but reduced overall and indirect costs, supporting favourable cost-effectiveness. No evidence on equity was identified; however, the Task Force judged that equity would likely improve with appropriate resource allocation, while noting that disparities may persist in rural areas. A pilot study [60] found integrated care programmes to be acceptable and feasible, with time investment identified as the principal implementation barrier. Overall, the Task Force considered these programmes acceptable to patients, clinicians, and decision-makers and generally feasible to implement, with some context-specific challenges.
Table 11.
Contextual factors for interventions with a return to work focus.
| GRADE EtD Domain | Evidence Identified | Task Force Judgement | Implications for Saudi Arabia |
|---|---|---|---|
| Values and preferences | Yes | Systematic review [75] showed that multidisciplinary rehabilitation aligns with patient priorities. There is probably no important variability in how outcomes are valued. | Values likely similar across patients. |
| Resource use and cost-effectiveness | Yes | Within-trial economic evaluations [76,77] found that multidisciplinary return to work programmes had slightly higher direct costs but substantially lower total and indirect costs. The systematic review [75] supported clinical utility but noted uncertainty regarding cost-effectiveness. Overall, cost-effectiveness is likely favourable. | Programmes may reduce indirect costs and improve efficiency if implemented regionally. |
| Equity | No | Access may vary across regions. Equity gains depend on whether programmes are implemented beyond major centres. | Equity likely improved with comprehensive national coverage if programmes are accessible. |
| Acceptability | Yes | A pilot study [60] found these programmes acceptable to stakeholders and feasible to deliver. Time investment was the primary barrier. | Probably acceptable to patients, clinicians and decision-makers. |
| Feasibility | No | Implementation is feasible, although challenges may arise due to coordination demands and variation in regional resources. | Likely feasible across most settings. |
Abbreviations: EtD, Evidence-to-Decision.
3.6. Psychological Interventions
3.6.1. Question
Should psychological interventions (behavioural therapies, cognitive therapies, cognitive–behavioural approaches, mindfulness, and acceptance and commitment therapy) versus placebo or usual care/waiting list, or versus one or more interventions compared with each other or other non-invasive interventions (either alone or in combination), be used in patients with non-specific LBP and/or sciatica?
3.6.2. Recommendation
In patients with non-specific LBP and/or sciatica, the Task Force suggests the use of evidence-based psychological interventions (conditional recommendation, low certainty of evidence). In line with the NICE guideline [37], psychological therapies using a cognitive–behavioural approach for managing LBP with or without sciatica should only be used as part of a treatment package that includes exercise with or without manual therapy (spinal manipulation, mobilisation, or soft tissue techniques such as massage).
3.6.3. Evidence Summary
The NICE guideline [37] identified 11 RCTs [78,79,80,81,82,83,84,85,86,87,88] and conducted a meta-analysis comparing the effects of psychological interventions versus placebo, usual care/waiting list, or other non-invasive interventions in patients with non-specific LBP and/or sciatica. A contributing factor to the predominantly low to very low certainty ratings was the difficulty of achieving adequate blinding in trials of psychological interventions. Several studies used waiting list control groups, which do not reflect usual practice and may inflate effect sizes because individuals assigned to delayed treatment often experience negative expectations. In addition, many trials provided insufficient detail regarding the background care received by participants outside the intervention, making it difficult to determine whether co-interventions were comparable between groups. This limitation increases the risk of overestimating effects for subjective outcomes such as pain and function. The update search identified two further studies [89,90] for inclusion.
3.6.4. Benefits and Harms
RCTs evaluated cognitive behavioural therapy (CBT), mindfulness-based interventions (MBIs), and cognitive therapy (CT) compared with placebo, usual care or waiting-list controls. For CBT, one trial comparing CBT with placebo reported that CBT probably results in little to no difference in pain severity (Pain and Impairment Relationship Scale) and in function (ODI) at >4 months [78]. When compared with usual care, CBT may improve function (RMDQ) at ≤4 months [80,84,89] and >4 months [89]. CBT probably results in little to no difference in psychological distress (BDI) at ≤4 months [84] and in quality of life (SF-36 perceived general health) at ≤4 months and >4 months [85]. Effects on pain severity (VAS) at ≤4 months [79,80,81,82,83,84] and >4 months [81], and on function (Pain Disability Index), were very uncertain [82]. For MBIs, the evidence suggests probable improvements in pain severity (NRS) [90], in function (RMDQ) at ≤4 months and >4 months [86,89], and in quality of life (Health Status Inventory—mental and physical health) at >4 months [90]. Other outcomes, including quality of life (SF-36 global health composite) at ≤4 months [86] and depression (BDI) [90], probably result in little to no difference. Several outcomes, including pain severity (McGill Pain Questionnaire [MPQ]) and quality of life (SF-36—mental and physical health), were very uncertain [86,87]. For CT, the evidence was very uncertain across all reported quality of life outcomes (SF-36—physical function, general health, and mental health) at >4 months [88]. Further details are presented in Table 12.
Table 12.
Benefits of psychological interventions.
| Treatment | Outcome (Instrument) |
Time Frame | Effect Estimate | Conclusion | GRADE Certainty |
|---|---|---|---|---|---|
| CBT vs. placebo/sham | Pain severity (PAIRS) [78] | >4 mos | MD 0.9 (95% CI –3.61 to 5.41) | Probably little to no difference | Low |
| Function (ODI) [78] | >4 mos | MD 0.7 (95% CI –4.81 to 6.21) | Probably little to no difference | Low | |
| Function (RMDQ) [80,84,89] | ≤4 mos | MD –2.11 (95% CI –2.94 to –1.28) | May improve function | Low | |
| CBT vs. usual care/waiting list | Function (RMDQ) [89] | >4 mos | MD –1.42 (95% CI –2.66 to –0.18) | May improve function | Moderate |
| Psychological distress (BDI) [84] | ≤4 mos | MD –1.65 (95% CI –3.42 to 0.12) | Probably little to no difference | Low | |
| Quality of life (SF-36—perceived general health) [85] | ≤4 mos | MD 0 (95% CI –0.18 to 0.18) | Probably little to no difference | Moderate | |
| Quality of life (SF-36—perceived general health) [85] | >4 mos | MD 0 (95% CI –0.19 to 0.19) | Probably little to no difference | Moderate | |
| Pain severity (VAS) [79,80,81,82,83,84] | ≤4 mos | MD –0.66 (95% CI –1.01 to –0.31) | Very uncertain effect | Very low | |
| Pain severity (VAS) [81] | >4 mos | MD –0.02 (95% CI –0.99 to 0.95) | Very uncertain effect | Very low | |
| Function (PDI) [82] | — | MD –1.2 (95% CI –6.44 to 4.04) | Very uncertain effect | Very low | |
| Mindfulness vs. usual care/waiting list | Pain severity (NRS) [90] | — | MD –30.4 (95% CI –40.08 to –20.72) | Probably improves pain | Moderate |
| Function (RMDQ) [86,89] | ≤4 mos | MD –1.53 (95% CI –2.59 to –0.48) | Probably improves function | Moderate | |
| Function (RMDQ) [89] | >4 mos | MD –1.87 (95% CI –3.12 to –0.62) | Probably improves function | Moderate | |
| Quality of life (HSI—mental health) [90] | >4 mos | MD 4.5 (95% CI 0.45 to 8.55) | Probably improves mental health | Low | |
| Quality of life (HSI—physical health) [90] | >4 mos | MD 13 (95% CI 9.78 to 16.22) | Probably improves physical health | Moderate | |
| Quality of life (SF-36—global health composite) [86] | ≤4 mos | MD 1.8 (95% CI –4.56 to 8.16) | Probably little to no difference | Low | |
| Depression (BDI-II) [90] | — | MD 1.61 (95% CI –2.99 to 6.21) | Probably little to no difference | Low | |
| Pain severity (MPQ) [86,87] | ≤4 mos | MD –5.55 (95% CI –11.17 to 0.08) | Very uncertain effect | Very low | |
| Quality of life (SF-36—mental composite) [86,87] | ≤4 mos | MD 4.74 (95% CI 2.87 to 6.62) | Very uncertain effect | Very low | |
| Quality of life (SF-36—physical composite) [86,87] | ≤4 mos | MD 3.69 (95% CI 2.59 to 4.8) | Very uncertain effect | Very low | |
| Cognitive therapy vs. usual care/waiting list | Quality of life (SF-36—physical function) [88] | >4 mos | MD 6.7 (95% CI –2.01 to 15.41) | Very uncertain effect | Very low |
| Quality of life (SF-36—general health) [88] | >4 mos | MD 5 (95% CI –1.12 to 11.12) | Very uncertain effect | Very low | |
| Quality of life (SF-36—mental health) [88] | >4 mos | MD 6.8 (95% CI –0.7 to 14.3) | Very uncertain effect | Very low |
Abbreviations: CBT, cognitive behavioural therapy; PAIRS, Pain and Impairment Relationship Scale; ODI, Oswestry Disability Index; RMDQ, Roland–Morris Disability Questionnaire; BDI, Beck Depression Inventory; SF-36, 36-Item Short Form Survey; VAS, Visual Analogue Scale; PDI, Pain Disability Index; NRS, Numeric Rating Scale; HSI, Health Status Inventory; MPQ, McGill Pain Questionnaire; mos, months; MD, mean difference; CI, confidence interval.
3.6.5. Certainty of Evidence
The overall certainty in the evidence of effects was judged to be very low based on the lowest certainty rating for critical outcomes, reflecting very serious risk of bias, serious inconsistency, and very serious imprecision.
3.6.6. Contextual Factors
Evidence on resource use and cost-effectiveness came from cost data and economic evaluations, whereas values and preferences, equity, acceptability, and feasibility relied primarily on Task Force experience (Table 13). No evidence was identified on how patients value the outcomes of psychological interventions, and the Task Force judged that there may be important uncertainty and variability in patients’ values and preferences. Evidence on resource requirements was not found, although cost information for cognitive therapy was provided by the Centre of Health Technology Assessment, MoH (Supplementary Material S4). Personnel time constitutes the main cost, and delivery may be undertaken by psychologists or other trained health professionals such as nurses or physiotherapists. The Task Force noted insufficient infrastructure and shortages of trained personnel in rural areas, which would increase resource needs and result in a moderate cost impact. Economic evidence from the source guideline indicated that the cognitive behavioural approach had lower total costs and favourable cost-effectiveness [91], while an economic evaluation showed modest additional costs for cognitive behavioural therapy and potential cost savings for mindfulness-based stress reduction; both were accompanied by improvements in quality-adjusted life years [92]. No evidence was identified for equity, acceptability, or feasibility. The Task Force concluded that limited infrastructure may reduce equity, while evidence-based psychological interventions are probably acceptable to patients, clinicians, and decision-makers and probably feasible to implement, although challenges may arise in some settings.
Table 13.
Contextual factors for psychological interventions.
| GRADE EtD Domain | Evidence Identified | Task Force Judgement | Implications for Saudi Arabia |
|---|---|---|---|
| Values and preferences | No | Possible important uncertainty and variability in how patients value outcomes. | Variability in values should be expected. |
| Resource use and cost-effectiveness | Yes | Cost information showed that personnel time is the main resource, with rural workforce shortages increasing resource needs and resulting in a moderate cost impact. One cost-utility analysis reported lower total costs and favourable cost-effectiveness for cognitive behavioural therapy [91], while another found modest additional costs for CBT and potential cost savings for mindfulness-based stress reduction [92]. Overall, cost-effectiveness probably favours psychological interventions. | Psychological interventions likely cost-effective when adequate workforce and infrastructure are available. |
| Equity | No | Unequal access likely; gaps in workforce and infrastructure would probably reduce equity. | Regional disparities may reduce equity despite national health coverage. |
| Acceptability | No | Psychological interventions are probably acceptable to patients, clinicians and decision-makers. | Likely acceptable if services are accessible and adequately staffed. |
| Feasibility | No | Probably feasible to implement, although feasibility may be constrained by workforce shortages and infrastructure limitations. | Feasible within existing healthcare facilities but dependent on training capacity and local resources. |
Abbreviations: EtD, Evidence-to-Decision; CBT, cognitive behavioural therapy.
3.7. Epidural Injections
3.7.1. Question
Should epidural injections versus non-invasive treatments be used in patients with sciatica?
3.7.2. Recommendation
In patients with sciatica, the Task Force suggests using epidural injections (conditional recommendation, very low certainty of evidence).
3.7.3. Evidence Summary
The NICE guideline [37] identified three RCTs [93,94,95] and conducted a meta-analysis comparing the effects of image-guided or non-image-guided steroid plus epidural injections with non-invasive treatments in patients with sciatica primarily caused by ≥70% disc prolapse. The update search identified no additional studies for inclusion. The trials were conducted in small populations with at least moderately severe sciatica who had no further treatment options available to them apart from surgery.
3.7.4. Benefits and Harms
RCTs evaluated image-guided and non-image-guided epidural steroid injections compared with non-invasive or pharmacological interventions. For image-guided steroid plus anaesthetic injection, one trial showed that it probably results in little to no difference in pain (VAS) at 2 weeks compared with combined non-invasive interventions [93]. For non-image-guided steroid plus anaesthetic injection compared with NSAIDs, the evidence suggests an improvement in pain (VAS) at >4 months and a probable improvement in disability (ODI) at ≤4 months, with little to no difference in healthcare utilisation (analgesic/paracetamol use) [94]. When compared with combined NSAIDs, opioids, and muscle relaxants, non-image-guided injection probably results in little to no difference in pain (VAS) at >4 months and in adverse events (flushing, headache or backache), while effects on pain (VAS) at ≤4 months were very uncertain [95]. All effect estimates are summarised in Table 14.
Table 14.
Benefits and potential harms of epidural injections.
| Treatment | Outcome (Instrument) |
Time Frame | Effect Estimate | Conclusion | GRADE Certainty |
|---|---|---|---|---|---|
| Image-guided steroid + anaesthetic vs. non-invasive interventions | Pain (VAS) [93] | 2 wks | MD −0.97 (95% CI −11.95 to 10.01) | Probably little to no difference | Moderate |
| Non-image-guided steroid + anaesthetic vs. NSAIDs | Pain (VAS) [94] | >4 mos | MD −0.8 (95% CI −1.49 to −0.11) | Reduces pain | Low |
| Disability (ODI) [94] | ≤4 mos | MD −4.1 (95% CI −8.9 to 0.7) | Probably improves disability | Low | |
| Healthcare use (analgesics/paracetamol) [94] | — | RR 0.55 (95% CI 0.20–1.50) | Probably little to no difference | Low | |
| Non-image-guided steroid + anaesthetic vs. NSAIDs + opioids + muscle relaxants | Pain (VAS) [95] | >4 mos | MD −0.5 (95% CI −1.26 to 0.26) | Probably little to no difference | Low |
| Minor adverse events (flushing, headache, backache) [95] | — | RR 1.25 (95% CI 0.38–4.12) | Probably little to no difference | Low | |
| Pain (VAS) [95] | ≤4 mos | MD −0.5 (95% CI −1.23 to 0.23) | Very uncertain effect | Very low |
Abbreviations: NSAIDs, non-steroidal anti-inflammatory drugs; VAS, Visual Analogue Scale; ODI, Oswestry Disability Index; wks, weeks; mos, months; MD, mean difference; CI, confidence interval; RR, risk ratio.
3.7.5. Certainty of Evidence
The overall certainty in the evidence of effects was judged to be very low, based on the lowest certainty ratings for the critical outcomes, reflecting very serious risk of bias and serious imprecision.
3.7.6. Contextual Factors
No direct evidence was identified for values, resource use and cost-effectiveness, equity, acceptability, or feasibility, and judgements therefore relied on Task Force experience (Table 15). The Task Force considered that patients’ values and preferences for epidural injections may vary, reflecting possible uncertainty. Cost information from the MoH indicated that resource requirements depend on medication costs, with moderate overall cost implications and no additional considerations noted (Supplementary Material S4). The lack of adequate infrastructure and limited trained personnel in rural areas was judged likely to reduce equity by restricting access. Epidural injections were considered probably acceptable to patients, clinicians and decision-makers, and probably feasible to implement within healthcare facilities that have sufficient specialist capacity.
Table 15.
Contextual factors for epidural injections.
| GRADE EtD Domain | Evidence Identified | Task Force Judgement | Implications for Saudi Arabia |
|---|---|---|---|
| Values and preferences | No | Possible uncertainty and variability in preferences. | Variability in expectations should be anticipated. |
| Resource use and cost-effectiveness | No | Cost information from MoH (Supplementary Material S4). Personnel costs are the primary resource requirement; overall moderate cost impact; cost-effectiveness probably favours the intervention. | Costs depend on personnel availability; moderate cost impact expected. |
| Equity | No | Unequal access likely where infrastructure or trained personnel are limited. | Access gaps may arise between urban and rural regions. |
| Acceptability | No | Probably acceptable to patients, clinicians and decision-makers. | Likely acceptable where services are available. |
| Feasibility | No | Probably feasible in appropriately resourced facilities. | Feasible in specialist centres; more limited in rural areas. |
Abbreviations: EtD, Evidence-to-Decision; MoH, Ministry of Health.
3.8. Image-Concordant Pathology
3.8.1. Question
Should image-concordant pathology or the presence of radicular symptoms versus no image-concordant pathology or the presence of radicular symptoms be used for predicting response to surgery in patients with suspected sciatica?
3.8.2. Recommendation
In patients with suspected sciatica, the Task Force suggests using image-concordant pathology or the presence of radicular symptoms to predict response to surgery (conditional recommendation, low certainty of evidence). For patients with other surgical indications (e.g., objective weakness, positive MRI findings, or cauda equina symptoms) along with long-standing symptoms and failure of non-surgical management, the Task Force strongly recommends prompt surgical evaluation. In line with the source guideline [37], body mass index (BMI), smoking status, and psychological distress should not influence referral decisions for surgical opinion for sciatica.
3.8.3. Evidence Summary
The NICE guideline [37] identified three RCTs [96,97,98] and conducted a meta-analysis to determine whether the presence of image-concordant pathology or radicular symptoms versus no image-concordant pathology or the presence of radicular symptoms predicts response to surgery in patients with suspected sciatica. The update search identified no additional studies for inclusion. Although all three included studies conducted multivariable analyses, they adjusted for different confounding variables [37].
3.8.4. Benefits and Harms
Evidence from prognostic studies suggests that specific radicular symptoms are prognostic factors for improved surgical outcomes in patients with sciatica. One study reported that radicular symptoms were prognostic for better function, with improved ODI scores at 4 years following open decompressive laminectomy [96]. Another study found that radicular symptoms predicted reduced leg pain at 12 months [98]. In patients undergoing discectomy, having leg pain greater than back pain predicted greater improvements, including a 50% improvement in function (ODI) and in pain (VAS), both with low certainty [97]. None of the included studies reported adverse events. All effect estimates are summarised in Table 16.
Table 16.
Benefits of image-concordant pathology.
| Predictor | Outcome (Instrument) |
Time Frame | Effect Estimate | Conclusion | GRADE Certainty |
|---|---|---|---|---|---|
| Radicular symptoms [96] | Function (ODI) after open decompressive laminectomy | 4 yrs | MD −4.2 (95% CI −6.33 to −2.07) | Predictor of functional outcome | Low |
| Radicular symptoms [98] | Leg pain (VAS) | 1 yr | Adjusted OR 0.38 (95% CI 0.16–0.90) | Predictor of leg pain outcome | Low |
| Leg pain > back pain [97] | 50% improvement in function (ODI) | 1 yr | Adjusted OR 6.89 (95% CI 3.86–12.30) | Predictor of functional improvement | Low |
| Leg pain > back pain [97] | 50% improvement in pain (VAS) | 1 yr | Adjusted OR 2.77 (95% CI 2.01–3.82) | Predictor of pain improvement | Low |
Abbreviations: ODI, Oswestry Disability Index; VAS, Visual Analogue Scale; yrs, years; yr, year; MD, mean difference; CI, confidence interval; OR, odds ratio.
3.8.5. Certainty of Evidence
The overall certainty in the evidence of effects was judged to be low, based on the lowest certainty in the evidence for the critical outcomes due to the observational study designs.
3.8.6. Contextual Factors
No direct evidence was identified for any contextual factor domains, so judgements relied on Task Force experience (Table 17). For values and preferences, the Task Force considered that there was probably no important variability in how patients value using image-concordant pathology or radicular symptoms to guide surgical decisions. Regarding resources and cost-effectiveness, cost information from the MoH indicated that requirements are mainly linked to imaging expenses, including MRI equipment and workforce availability, and establishing a diagnosis with MRI may reduce repeated consultations (Supplementary Material S4). Overall resource needs likely vary by setting, and cost-effectiveness probably favours the intervention. For equity, extended MRI waiting times may limit timely diagnosis, and the Task Force judged that reliance on imaging or radicular symptoms would probably reduce equity despite national coverage. The approach was considered probably acceptable to patients, clinicians, and decision-makers and feasible within existing healthcare teams.
Table 17.
Contextual factors for image-concordant pathology.
| GRADE EtD Domain | Evidence Identified | Task Force Judgement | Implications for Saudi Arabia |
|---|---|---|---|
| Values and preferences | No | Probably no important variability in patients’ values and preferences when using image-concordant pathology or radicular symptoms to predict response to surgery. | Stable values expected; major variability unlikely. |
| Resource use and cost-effectiveness | No | Cost information from MoH on imaging modalities (Supplementary Material S4). Resource needs relate to indirect imaging expenses, including equipment and human resources; performing MRI and establishing a diagnosis may reduce repeated consultations and procedures. Overall, resource requirements vary by setting and cost-effectiveness probably favours the intervention. | Costs and resource needs differ across settings; earlier diagnosis may reduce overall care costs. |
| Equity | No | Use of image-concordant pathology or radicular symptoms to guide surgery would probably reduce health equity due to delays and uneven access. | Regional disparities may emerge despite comprehensive national coverage. |
| Acceptability | No | Using image-concordant pathology or radicular symptoms to predict surgical response is probably acceptable to patients, clinicians and decision-makers. | Likely acceptable where services are available. |
| Feasibility | No | Using image-concordant pathology or radicular symptoms is considered feasible to implement in Saudi Arabia’s facilities and healthcare teams. | Feasible within existing healthcare teams and pathways. |
Abbreviations: EtD, Evidence-to-Decision; MoH, Ministry of Health; MRI, magnetic resonance imaging.
3.9. Spinal Decompression
3.9.1. Question
Should spinal decompression versus usual care or other interventions be used in patients with sciatica?
3.9.2. Recommendation
In patients with sciatica, the Task Force suggests using spinal decompression (conditional recommendation, very low certainty of evidence). The Task Force noted that the choice of treatment depends on symptom profile and duration, and surgical management should be considered only when non-surgical treatments have been unsuccessful, radiological findings are consistent with symptoms, and established clinical pathways have been followed.
3.9.3. Evidence Summary
The NICE guideline [37] identified seven RCTs [99,100,101,102,103,104,105] comparing spinal decompression with usual care or other interventions for sciatica. The update search found no additional studies. The guideline reported high cross-over from usual care to discectomy, with those crossing over showing high pain scores after usual care. Because results were analysed using intention-to-treat, the treatment effect in the usual care group may have been overestimated. This reflects the common challenge in surgical trials without placebo controls. If cross-over was not permitted, high withdrawal rates from usual care would be expected. The guideline also noted that excluding cross-over participants would likely increase the observed benefit of discectomy, though this would introduce bias. For other comparisons, evidence came from single small trials, resulting in substantial uncertainty.
3.9.4. Benefits and Harms
Across five comparisons, evidence from RCTs evaluated discectomy, percutaneous decompression, plasma disc decompression and laminectomy against usual care, combination therapy, epidural steroid injection or other non-invasive treatments. For discectomy versus usual care, the evidence suggests probable improvements in leg pain (VAS) and back pain (VAS and Sciatica Bothersomeness Index [SBI]) at >4 months to 1 year [100,101,102], with probably little to no difference in function (ODI) or mortality. Effects on multiple SF-36 domains (bodily pain and physical functioning) at ≤4 months and at 2 years, as well as effects on healthcare utilisation and morbidity were very uncertain [100,101,102]. When compared with combination manual therapy, exercise, and self-management, discectomy probably results in little to no difference in pain (MPQ), function (RMDQ), or quality of life (SF-36 bodily pain) at ≤4 months, with very uncertain effects on SF-36 physical function [103]. Percutaneous decompression probably improves leg pain (Visual Numeric Scale [VNS]) from 4 months to 2 years [104]. Plasma disc decompression probably improves leg pain (VAS), back pain (VAS), and function (ODI) at 6 months, with little to no difference in procedure-related adverse events, and very uncertain effects on morbidity and mortality [105]. For laminectomy versus usual care, the evidence suggests little to no difference in pain (Low Back Pain Bothersomeness Index), function (ODI), or quality of life (SF-36 bodily pain and physical functioning) at 1 year, with very uncertain effects on SBI [99]. All effect estimates are summarised in Table 18.
Table 18.
Benefits and potential harms of spinal decompression.
| Treatment | Outcome (Instrument) |
Time Frame | Effect Estimate | Conclusion | GRADE Certainty |
|---|---|---|---|---|---|
| Discectomy vs. usual care | Leg pain (VAS) [101,102] | >4 mos to 1 yr | MD −0.57 (95% CI −0.87 to −0.28) | Probably improves leg pain | Low |
| Back pain (VAS) [101,102] | >4 mos to 1 yr | MD −0.23 (95% CI −0.28 to −0.18) | Probably improves back pain | Low | |
| Back pain (SBI) [100] | >4 mos to 1 yr | MD −1.6 (95% CI −2.86 to −0.34) | Probably improves back pain | Low | |
| Function (ODI) [100,102] | >4 mos to 1 yr | MD −2.58 (95% CI −6.47 to 1.3) | Probably little to no difference | Low | |
| Adverse events (mortality) [100] | — | RR 0.15 (95% CI 0.01–2.87) | Probably little to no difference | Low | |
| Quality of life (SF-36—bodily pain) [100] | ≤4 mos | MD 8.35 (95% CI 7.87–8.83) | Very uncertain effect | Very low | |
| Quality of life (SF-36—bodily pain) [100] | 2 yrs | MD 3.2 (95% CI −2.07 to 8.47) | Very uncertain effect | Very low | |
| Quality of life (SF-36—physical functioning) [100,101] | ≤4 mos | MD 9.26 (95% CI 8.84–9.68) | Very uncertain effect | Very low | |
| Quality of life (SF-36—physical functioning) [100] | 2 yrs | MD 0 (95% CI −5.41 to 5.41) | Very uncertain effect | Very low | |
| Healthcare utilisation (PT visits) [102] | >4 mos to 2 yrs | RR 0.49 (95% CI 0.26–0.95) | Very uncertain effect | Very low | |
| Adverse events (morbidity) [100] | — | RR 1.00 (95% CI 0.37–2.73) | Very uncertain effect | Very low | |
| Discectomy vs. combination therapy | Pain (MPQ) [103] | ≤4 mos | MD −6.4 (95% CI −15.9 to 3.1) | Probably little to no difference | Low |
| Function (RMDQ) [103] | ≤4 mos | MD −1.8 (95% CI −5.87 to 2.27) | Probably little to no difference | Low | |
| Quality of life (SF-36—bodily pain) [103] | ≤4 mos | MD 10.3 (95% CI −2.37 to 22.97) | Probably little to no difference | Low | |
| Quality of life (SF-36—physical function) [103] | ≤4 mos | MD 6.8 (95% CI −9.64 to 23.24) | Very uncertain effect | Very low | |
| Percutaneous decompression vs. usual care | Leg pain (VNS) [104] | 4 mos to 2 yrs | MD −3.1 (95% CI −4.45 to −1.75) | Probably improves pain | Low |
| Plasma disc decompression vs. epidural steroid injection | Leg pain (VAS) [105] | 6 mos | MD −1.8 (95% CI −3.05 to −0.55) | Probably improves pain | Low |
| Back pain (VAS) [105] | 6 mos | MD −1.62 (95% CI −2.73 to −0.51) | Probably improves pain | Low | |
| Function (ODI) [105] | 6 mos | MD −1.6 (95% CI −2.31 to −0.89) | Probably improves function | Low | |
| Adverse events (procedure-related) [105] | 6 mos | RR 0.63 (95% CI 0.22–1.84) | May be little to no difference | Low | |
| Adverse events (morbidity) [105] | — | RR 0.48 (95% CI 0.04–5.09) | Very uncertain effect | Very low | |
| Adverse events (mortality) [105] | — | RR 0.96 (95% CI 0.06–14.83) | Very uncertain effect | Very low | |
| Laminectomy vs. usual care | Pain (LBPBI) [99] | 1 yr | MD 0 (95% CI −0.55 to 0.55) | Little to no difference | Low |
| Function (ODI) [99] | 1 yr | MD −2.2 (95% CI −7.33 to 2.93) | Little to no difference | Low | |
| Quality of life (SF-36—bodily pain) [99] | 1 yr | MD 5.5 (95% CI −0.74 to 11.74) | Little to no difference | Low | |
| Quality of life (SF-36—physical functioning) [99] | 1 yr | MD 1.6 (95% CI −4.64 to 7.84) | Little to no difference | Low | |
| Adverse events (mortality) [99] | — | RR 0.94 (95% CI 0.32–2.72) | Little to no difference | Low | |
| Pain (SBI) [99] | 1 yr | MD −0.6 (95% CI −1.15 to −0.05) | Very uncertain effect | Very low |
Abbreviations: VAS, Visual Analogue Scale; SBI, Sciatica Bothersomeness Index; ODI, Oswestry Disability Index; SF-36, 36-Item Short Form Survey; MPQ, McGill Pain Questionnaire; RMDQ, Roland–Morris Disability Questionnaire; VNS, Visual Numeric Scale; LBPBI, Low Back Pain Bothersomeness Index; mos, months; yrs, years; yr, year; MD, mean difference; CI, confidence interval; RR, risk ratio.
3.9.5. Certainty of Evidence
The overall certainty in the evidence of effects was judged to be very low, reflecting very serious risk of bias, serious inconsistency, and serious imprecision across outcomes.
3.9.6. Contextual Factors
No direct evidence was identified for values, equity, acceptability, or feasibility, so judgements relied on Task Force experience (Table 19). For values and preferences, the Task Force concluded that there was probably no important variability in how patients value outcomes of spinal decompression. Evidence on resource use and cost-effectiveness came from three cost-utility analyses in the source guideline, which reported higher incremental costs [106,107,108], together with MoH cost estimates for laminectomy and discectomy (Supplementary Material S4). Overall, spinal decompression requires substantial resources, and cost-effectiveness generally does not favour the intervention, although it may vary by diagnosis. No evidence was identified for equity; because the procedure depends on specialised facilities and trained personnel, the Task Force judged that equity would probably be reduced despite national coverage. No evidence addressed acceptability or feasibility, but decompression was considered probably acceptable and probably feasible, with delivery constrained in regions with limited infrastructure.
Table 19.
Contextual factors for spinal decompression.
| GRADE EtD Domain | Evidence Identified | Task Force Judgement | Implications for Saudi Arabia |
|---|---|---|---|
| Values and preferences | No | Probably no important variability in preferences. | Preferences expected to be stable. |
| Resource use and cost-effectiveness | Yes | Three cost-utility analyses [106,107,108] and MoH cost data for laminectomy and discectomy (Supplementary Material S4); spinal decompression associated with high resource requirements and cost-effectiveness generally unfavourable, though diagnosis-specific variation may occur. | Surgical decompression is resource-intensive; cost-effectiveness generally does not support its use over usual care. |
| Equity | No | Reduced equity likely where specialised personnel and facilities are limited. | Regional access disparities may occur despite national coverage. |
| Acceptability | No | Probably acceptable to patients, clinicians and decision-makers. | Acceptability high where surgical capacity exists. |
| Feasibility | No | Probably feasible in most settings but limited by regional resource constraints. | Feasible in major centres; constrained in resource-restricted regions. |
Abbreviations: EtD, Evidence-to-Decision; MoH, Ministry of Health.
3.10. Radiofrequency Denervation
3.10.1. Question
Should radiofrequency denervation for facet joint pain versus placebo or usual care, or versus other treatments, be used in patients with non-specific LBP?
3.10.2. Recommendation
In patients with non-specific LBP, the Task Force suggests using radiofrequency denervation (conditional recommendation, very low certainty of evidence). The Task Force agreed that this intervention should not be used in patients with non-specific LBP without evidence of facet joint arthropathy but be reserved for appropriately selected subgroups, such as those with suspected facet joint arthropathy (spondylosis). They further agreed that at least one diagnostic medial branch nerve block producing ≥50% improvement in pain or daily activities should be performed before proceeding to radiofrequency denervation.
3.10.3. Evidence Summary
The NICE guideline [37] identified seven RCTs [109,110,111,112,113,114,115] and conducted a meta-analysis comparing radiofrequency denervation for facet joint pain with placebo/sham, usual care or other active treatments in adults with non-specific LBP. The update search identified no additional eligible studies. Overall, trials were small and subject to methodological limitations, contributing to very low certainty for several outcomes.
3.10.4. Benefits and Harms
Across trials, radiofrequency denervation was compared mainly with placebo or sham procedures and, in one study, with medial branch block. Compared with placebo or sham, radiofrequency denervation probably improves pain intensity (VAS) in the short-term (≤4 months) [109,110,111,112] and at longer periods (>4 months) [109,110,113] and probably improves vitality-related quality of life (SF-36 vitality subscale) at ≤4 months [114]. It also probably increases the proportion of responders achieving at least 50% pain reduction or a favourable global perceived effect [112,114]. Radiofrequency denervation probably results in worse outcomes with respect to treatment-related pain of moderate or severe intensity [114], and results in little to no difference in several quality of life domains (SF-36), including general health, mental health, social functioning and physical functioning [114]. Effects on function (RMDQ) [111], additional quality of life outcomes (SF-36 pain subscale) [114], healthcare utilisation [112,113], responder rates at >4 months [112], and neurological adverse events including sensory changes and motor loss) [114] were very uncertain. When compared with medial branch block, evidence for radiofrequency denervation was very uncertain across pain (VNS) and quality of life outcomes (EQ-5D) at both ≤4 months and >4 months [115]. All effect estimates are summarised in Table 20.
Table 20.
Benefits and potential harms of radiofrequency denervation.
| Treatment | Outcome (Instrument) |
Time Frame | Effect Estimate | Conclusion | GRADE Certainty |
|---|---|---|---|---|---|
| RF denervation vs. placebo/sham | Pain (VAS) [109,110,111,112] | ≤4 mos | MD −1.83 (95% CI −2.41 to −1.24) | Probably improves pain | Moderate |
| Pain (VAS) [109,110,113] | >4 mos | MD −1.57 (95% CI −2.20 to −0.95) | Probably improves pain | Low | |
| Quality of life (SF-36—vitality) [114] | ≤4 mos | MD 7.70 (95% CI 0.64 to 14.76) | Probably improves vitality | Low | |
| Responder criteria (>50% pain reduction or favourable global perceived effect) [112,114] | ≤4 mos | RR 1.74 (95% CI 1.15 to 2.63) | Probably improves responder rate | Moderate | |
| Adverse events (treatment-related pain, moderate or severe) [114] | ≤4 mos | RR 1.64 (95% CI 1.00 to 2.69) | Probably worse outcomes | Low | |
| Quality of life (SF-36—general health) [114] | ≤4 mos | MD 3.10 (95% CI −3.72 to 9.92) | Little to no difference | Moderate | |
| Quality of life (SF-36—mental health) [114] | ≤4 mos | MD 2.00 (95% CI −9.07 to 13.07) | Little to no difference | Low | |
| Quality of life (SF-36—social functioning) [114] | ≤4 mos | MD 2.70 (95% CI −11.70 to 17.10) | Little to no difference | Low | |
| Quality of life (SF-36—physical functioning) [114] | ≤4 mos | MD −3.10 (95% CI −11.09 to 4.89) | Little to no difference | Low | |
| Function (RMDQ) [111] | ≤4 mos | MD 2.6 (95% CI −6.21 to 11.41) | Very uncertain effect | Very low | |
| Quality of life (SF-36—pain subscale) [114] | ≤4 mos | MD 0.20 (95% CI −9.29 to 9.69) | Very uncertain effect | Very low | |
| Healthcare utilisation (analgesic tablets over 4 days) [112] | ≤4 mos | MD −3.24 (95% CI −6.60 to 0.12) | Very uncertain effect | Very low | |
| Healthcare utilisation (global perception of improvement) [113] | >4 mos | MD −0.8 (95% CI −1.56 to −0.04) | Very uncertain effect | Very low | |
| Responder criteria (>50% pain reduction/global effect) [112] | >4 mos | RR 3.73 (95% CI 0.92 to 15.21) | Very uncertain effect | Very low | |
| Adverse events (sensory change: dysaesthesia/allodynia) [114] | <4 mos | RR 5.13 (95% CI 0.25 to 103.45) | Very uncertain effect | Very low | |
| Adverse events (loss of motor function) [114] | ≤4 mos | RR 0.36 (95% CI 0.02 to 8.55) | Very uncertain effect | Very low | |
| RF denervation vs. medial branch block | Pain (VNS) [115] | ≤4 mos | MD −1.2 (95% CI −1.79 to −0.61) | Very uncertain effect | Very low |
| Pain (VNS) [115] | >4 mos | MD −2.3 (95% CI −3.42 to −1.18) | Very uncertain effect | Very low | |
| Quality of life (EQ-5D) [115] | ≤4 mos | MD −0.4 (95% CI −0.97 to 0.17) | Very uncertain effect | Very low | |
| Quality of life (EQ-5D) [115] | >4 mos | MD −1.3 (95% CI −2.87 to 0.27) | Very uncertain effect | Very low |
Abbreviations: RF, radiofrequency; VAS, Visual Analogue Scale; SF-36, 36-Item Short Form Survey; RMDQ, Roland–Morris Disability Questionnaire; VNS, Visual Numeric Scale; EQ-5D, EuroQol 5-Dimension; mos, months; MD, mean difference; CI, confidence interval; RR, risk ratio.
3.10.5. Certainty of Evidence
The overall certainty in the evidence of effects was judged to be very low, based on the lowest certainty for critical outcomes. This reflects serious risk of bias and very serious imprecision across trials, including small sample sizes and wide confidence intervals.
3.10.6. Contextual Factors
No direct evidence was identified for values, equity, acceptability or feasibility, so judgements relied on Task Force experience (Table 21). For values and preferences, the Task Force concluded that there is probably no important variability. For resource use and cost-effectiveness, evidence came from a within-trial economic evaluation [114] and the economic model developed in the NICE guideline [37], both indicating that radiofrequency denervation involves notable procedure-related costs and that cost-effectiveness depends on sufficient duration of pain relief, with favourable results only when relief persists beyond approximately 16 months; however, these analyses had potentially serious limitations. A Dutch societal-perspective study [116] suggested that radiofrequency denervation combined with structured exercise may not be cost-effective. No further evidence on resource requirements was identified. Overall, the Task Force judged that the intervention entails moderate costs and that cost-effectiveness probably favours its use. Given national health coverage, equity impact is likely minimal, and radiofrequency denervation is probably acceptable and feasible where expertise and equipment are available.
Table 21.
Contextual factors for radiofrequency denervation.
| GRADE EtD Domain | Evidence Identified | Task Force Judgement | Implications for Saudi Arabia |
|---|---|---|---|
| Values and preferences | No | Probably no important uncertainty or variability in preferences. | Preferences are unlikely to limit use in appropriately selected patients. |
| Resource use and cost-effectiveness | Yes | Within-trial economic analysis [114], alongside the NICE economic model [37] and a Dutch societal evaluation [116], indicated moderate costs. These analyses suggested potential cost-effectiveness in appropriately selected patients, though uncertainty and methodological limitations were noted. Overall, cost-effectiveness probably favours the intervention. | Radiofrequency denervation probably cost-effective when used for well-selected facet joint pain after failed conservative care. |
| Equity | No | Probably no major impact on equity overall. | Comprehensive coverage likely offsets inequities, although service availability may vary by region. |
| Acceptability | No | Probably acceptable to patients, clinicians and decision-makers. | Likely acceptable where services are available. |
| Feasibility | No | Might be feasible in centres with trained clinicians and appropriate facilities. |
Abbreviations: EtD, Evidence-to-Decision; NICE, National Institute for Health and Care Excellence.
3.11. Pain Neuroscience Education
3.11.1. Question
Should pain neuroscience education versus no pain neuroscience education be used to reduce disability, pain and recurrence in patients with chronic non-specific LBP?
3.11.2. Recommendation
In patients with chronic non-specific LBP, the Task Force suggests using pain neuroscience education (conditional recommendation, low certainty of evidence). The Task Force suggests prioritising pain neuroscience education for patients at increased risk of disability and chronicity.
3.11.3. Evidence Summary
The source systematic review [38] identified eight RCTs [117,118,119,120,121,122,123,124] and conducted a meta-analysis comparing pain neuroscience education with no pain neuroscience education in patients with chronic non-specific LBP. The update search identified no additional studies for inclusion.
3.11.4. Benefits and Harms
The trials evaluated pain neuroscience education delivered alone and pain neuroscience education combined with physiotherapeutic treatment compared with no pain neuroscience education. For pain neuroscience education alone, the evidence suggests that it improves disability (RMDQ) at 32.8 days [117,118,119,120,121]. Pain neuroscience education may result in little to no difference in short-term pain (NRS) at 31.8 days [117,118,120,121,122,123], long-term pain (NRS) at 12 months [118,120], short-term psychological outcomes (Tampa Scale for Kinesiophobia) at 3.33 weeks [121,122,124], and long-term disability (RMDQ) at 12 months [118,120]. For pain neuroscience education combined with physiotherapeutic treatment, the evidence suggests improvements in short-term disability (RMDQ) at 40 days [117,120,121] and in short-term pain (NRS) at 32.6 days [117,120,121,122,123]. None of the included studies reported adverse events. All effect estimates for each comparison are presented in Table 22.
Table 22.
Benefits of pain neuroscience education.
| Treatment | Outcome (Instrument) |
Time Frame | Effect Estimate | Conclusion | GRADE Certainty |
|---|---|---|---|---|---|
| PNE vs. no PNE | Disability (RMDQ) [117,118,119,120,121] | 32.8 days | MD 2.28 (95% CI 0.30 to 4.25) | Improves disability | Moderate |
| Pain (NRS) [117,118,120,121,122,123] | 31.8 | MD 0.73 (95% CI −0.14 to 1.61) | May be little to no effect | Low | |
| Pain (NRS) [118,120] | 12 mos | MD 0.44 (95% CI −1.03 to 1.91) | May be little to no effect | Low | |
| Psychological effects (TSK) [121,122,124] | 3.3 wks | MD 4.72 (95% CI 2.32 to 7.13) | May be little to no effect | Low | |
| Disability (RMDQ) [118,120] | 12 mos | MD 2.18 (95% CI −0.67 to 5.02) | May be little to no effect | Low | |
| PNE + physiotherapy vs. no PNE | Disability (RMDQ) [117,120,121] | 40 days | MD 3.94 (95% CI 3.37 to 4.52) | Improves disability | Moderate |
| Pain (NRS) [117,120,121,122,123] | 32.6 days | MD 1.32 (95% CI 1.08 to 1.56) | Improves pain | Moderate |
Abbreviations: PNE, pain neuroscience education; RMDQ, Roland–Morris Disability Questionnaire; NRS, Numeric Rating Scale; TSK, Tampa Scale for Kinesiophobia; mos, months; wks, weeks; MD, mean difference; CI, confidence interval.
3.11.5. Certainty of Evidence
The overall certainty in the evidence of effects was judged to be low, based on the lowest certainty for the critical outcomes. This was due to inconsistency, indirectness, and imprecision in the evidence, all of which were rated serious.
3.11.6. Contextual Factors
Evidence was identified only for acceptability, with no direct evidence found for values and preferences, resource requirements, cost-effectiveness, equity, or feasibility (Table 23). For values and preferences, the Task Force judged, based on experience, that there is probably no important variability in how patients value the outcomes of pain neuroscience education. For resource use, the Task Force considered training costs, required materials, patient travel, potential out-of-pocket expenses, the need for specialised care, and the availability of additional appointments, noting that telehealth delivery may reduce these demands. Cost-effectiveness evidence was not available, but the Task Force agreed that a formal analysis would likely show no meaningful difference between the intervention and the comparison. For equity, access in rural areas may be limited without telehealth, which could reduce equity. Acceptability was supported by the GLITtER feasibility trial [125], although the Task Force judged pain neuroscience education probably not acceptable in Saudi Arabia because it may increase clinician workload. For feasibility, the Task Force concluded that the intervention is probably feasible, although dependent on training, staff availability, and infrastructure.
Table 23.
Contextual factors for pain neuroscience education.
| GRADE EtD Domain | Evidence Identified | Task Force Judgement | Implications for Saudi Arabia |
|---|---|---|---|
| Values and preferences | No | Probably no important variability in how patients value outcomes | Variability unlikely; expectations generally stable |
| Resource use and cost-effectiveness | No | Moderate costs based on training, materials, travel, appointments; telehealth may reduce burden; cost-effectiveness judged neutral | Moderate resource needs; telehealth may ease access; no clear cost-effectiveness advantage |
| Equity | No | Equity may be reduced where rural access and older-adult support are limited | Regional and age-related disparities possible despite national coverage |
| Acceptability | Yes | Evidence from the GLITtER feasibility trial [125] showed psychoeducation to be acceptable, easily integrated into consultations, and beneficial for patients and clinicians. However, the Task Force considered that pain neuroscience education may increase clinician workload and is therefore probably not acceptable to key stakeholders. | Acceptability may be limited unless integrated without adding workload |
| Feasibility | No | Probably feasible with training, materials and appointment availability, but dependent on infrastructure | Feasible in most facilities with adequate workforce and infrastructure. |
Abbreviations: EtD, Evidence-to-Decision; GLITtER, Green Light Imaging Intervention to Enhance Recovery.
4. Discussion
This national clinical practice guideline provides a comprehensive, evidence-based framework for the assessment and management of non-specific LBP and sciatica in adults in Saudi Arabia. Developed using the GRADE ADOLOPMENT methodology, the guideline offers a rigorously adapted set of recommendations rooted in high-quality international evidence while explicitly incorporating clinical, cultural, and health-system considerations relevant to the Kingdom. LBP remains a leading cause of disability and healthcare utilisation across Saudi Arabia, affecting individuals in diverse demographic and occupational groups. The recommendations presented in this document aim to reduce unwarranted variation in practice, promote high-value care, and support consistent, high-quality clinical decision-making across primary, secondary, and tertiary care settings.
4.1. Key Messages
Across the eleven clinical questions examined, several overarching conclusions inform optimal LBP management in the Saudi context.
First, validated risk assessment and stratification tools exhibited sufficient prognostic accuracy to support their integration into routine clinical assessment. These tools facilitate timely identification of patients at increased risk of persistent symptoms, enabling more rational referral pathways and potentially reducing unnecessary imaging.
Second, routine early imaging in the absence of red flags did not yield meaningful improvements in pain, function, or psychological outcomes and was consistently associated with increased healthcare utilisation. Imaging decisions should therefore be guided primarily by clinical evaluation, with investigations reserved for situations in which results are expected to influence management.
Third, pharmacological treatments commonly used for sciatica demonstrated limited clinical benefit and an unfavourable risk profile, reinforcing the need for selective and judicious prescribing, particularly regarding benzodiazepines, gabapentinoids, corticosteroids, and long-term opioids. Short-term opioid therapy may be considered only for carefully selected patients with acute sciatica.
Fourth, multidisciplinary interventions incorporating workplace, ergonomic or rehabilitation components showed improvements in return to work outcomes and may mitigate indirect costs associated with prolonged work absenteeism, findings that hold particular relevance within a rapidly developing national labour market.
Fifth, psychological interventions, including cognitive behavioural therapy and mindfulness-based interventions, produced small but meaningful improvements in function and quality of life when implemented as part of a broader biopsychosocial care approach. Their contribution remains important despite heterogeneity and methodological limitations in the underlying evidence.
Sixth, procedural interventions such as epidural injections, spinal decompression, and radiofrequency denervation were supported by mixed or very low certainty evidence. These procedures may benefit carefully selected patients with severe or persistent symptoms and image-concordant pathology but should be reserved for clearly defined indications requiring specialist expertise.
Collectively, the evidence supports a measured, evidence-informed, and context-sensitive approach to LBP that prioritises effective, acceptable, and feasible interventions while promoting high-value care across the Saudi healthcare system.
4.2. Strengths
This guideline benefits from several strengths that enhance its methodological rigour, clinical relevance, and national applicability. The use of the GRADE ADOLOPMENT approach ensured transparent, systematic, and structured adaptation of international evidence to the Saudi context. Each recommendation reflects a careful synthesis of available research, assessment of evidence certainty, and explicit consideration of benefits, harms, patient values, feasibility, acceptability, and resource implications. The multidisciplinary composition of the Task Force, which included experts from a wide range of clinical specialties, academic institutions, and geographic regions, enabled comprehensive deliberation that incorporated diverse clinical perspectives and region-specific considerations. This representation ensured that the recommendations align with prevailing practice patterns, resource availability, and system-level characteristics across the Kingdom. Furthermore, the guideline places notable emphasis on implementation feasibility. Recommendations were formulated with explicit attention to existing variation in imaging access, distribution of specialist services, referral structures, and patterns of healthcare utilisation. This contextualisation enhances the practical utility of the guideline and supports consistent, equitable, and high-quality practice across all levels of care.
4.3. Limitations
Despite its strengths, several limitations should be acknowledged. The certainty of evidence supporting many recommendations was low or very low, reflecting the methodological shortcomings of primary studies, including small sample sizes, inconsistency, imprecision, and indirectness. Consequently, several recommendations required careful judgement by the Task Force to balance potential benefits and harms in accordance with GRADE principles. Much of the evidence originated from studies conducted outside Saudi Arabia. Although the ADOLOPMENT methodology explicitly incorporates contextualisation, certain findings may not fully reflect local clinical characteristics, cultural expectations, or patterns of healthcare delivery. This limitation is particularly relevant for interventions influenced by psychosocial factors or requiring specialised multidisciplinary services. Additionally, the guideline does not address the evaluation or management of serious spinal pathology, inflammatory causes of LBP, progressive neurological deficits, or cauda equina syndrome, as these fall outside the defined scope. Finally, the guideline reflects evidence available up to the final literature search date and will require periodic updates as new research emerges.
4.4. Research Needs
The guideline development process identified several priority areas for future research that are essential to strengthen the evidence base and inform subsequent updates. The NICE guideline [37] highlighted the need for robust evaluations of the clinical and cost-effectiveness of opioids for acute sciatica, antidepressants for sciatica, benzodiazepines for acute LBP, and codeine, alone or in combination with paracetamol, for acute LBP. These pharmacological treatments remain widely used despite limited evidence, underscoring the need for trials capable of clarifying their role in contemporary practice. Further research is also required to evaluate procedural interventions. High-quality comparative trials of image-guided versus non-image-guided epidural injections are needed to determine their relative clinical utility. For radiofrequency denervation, long-term studies examining effectiveness, safety, and cost-effectiveness are essential to determine its appropriate place in management. The systematic review [38] informing the pain neuroscience education question emphasised the need for trials that assess long-term effects on pain, disability and cost-effectiveness when integrated into standard care.
Beyond these topic-specific priorities, broader research relevant to the Saudi context is needed. This includes the validation of risk assessment and stratification tools in local populations, evaluations of stratified care pathways across different levels of service delivery, and studies assessing the feasibility and acceptability of psychological and multidisciplinary interventions within the national healthcare infrastructure. Longitudinal studies examining prognostic factors, recurrence patterns, and functional outcomes among individuals with LBP in Saudi Arabia would strengthen the understanding of disease trajectories and support more targeted prevention and rehabilitation strategies. Implementation research examining barriers and facilitators to guideline adoption is also essential to ensure consistent and effective integration of evidence-based care across diverse clinical settings.
5. Conclusions
This national clinical practice guideline offers a comprehensive and rigorously developed framework for the assessment and management of non-specific LBP and sciatica in adults in Saudi Arabia. By systematically adapting high-quality international evidence to the clinical and healthcare context of the Kingdom, the guideline aims to support consistent, effective, and high-value practice across all levels of care. The recommendations emphasise accurate clinical assessment, appropriate use of imaging, careful selection of pharmacological options, and the integration of psychological, multidisciplinary, and procedural interventions where supported by evidence. Although the certainty of evidence varies across topics, the guideline provides clear and practical direction for improving the quality of care and reducing unwarranted variation. Ongoing research within Saudi populations will be essential to refine future guidance and ensure sustained improvements in patient outcomes.
Acknowledgments
We would like to express our deepest gratitude to the Saudi Spine Society for their essential partnership in bringing these evidence-based back pain and sciatica guidelines to fruition. The Saudi Spine Society was not just supportive; they were truly instrumental, providing the critical resources and comprehensive logistical framework needed to conduct the rigorous national consensus process. This partnership ensured that we could transition smoothly from local development to thorough international review. We are particularly appreciative of the Society’s steadfast commitment to elevating clinical excellence and evidence-based practice in spine care. Without the Saudi Spine Society’s unwavering support, the successful preparation of this manuscript for the Journal of Clinical Medicine would not have been possible. We gratefully acknowledge Ziad A. Memish, Abdulrahman Alqahtani, and Shatha Abuzinada for their strategic leadership and oversight of the National Guidelines Program, including Ministry of Health input, sponsorship and governance within the Health Holding Company, liaison with the Saudi Health Council, and support for the conceptualisation, approval, and national endorsement of the guideline. We also acknowledge the international Guideline Support Team and collaborators from the Epistemonikos Foundation and Elsevier/RELX Clinical Solutions, including Francy Cantor-Cruz, Camila Oliver-Avila, Francisco Novillo, Ana-Maria Rojas-Gómez, José Ramos-Rojas, Francisca Verdugo-Paiva, Javiera Peña, Valentina Veloso, Ivan Silva-Ruz, Paula Zambrano, Joanna Sara Valson, Ximena Alvira, Khushnam Bilimoria, Chirag Taneja, Mai P. Ta, Ruchi Chawla, Sheila Feit, and Skye Bickett, for their substantial methodological, technical, and administrative contributions. These included evidence synthesis, literature searching, data screening and extraction, risk of bias assessment, meta-analyses, preparation of GRADE evidence profiles and Evidence-to-Decision frameworks, coordination and facilitation of workshops, and overall project management throughout the guideline development process.
Abbreviations
The following abbreviations are used in this manuscript:
| LBP | Low back pain |
| MoH | Ministry of Health |
| GBD | Global Burden of Disease |
| NICE | National Institute for Health and Care Excellence |
| EtD | Evidence-to-Decision |
| RCTs | Randomized controlled trials |
| SBST | STarT Back Screening Tool |
| AUC | Under the curve |
| R2 | R-squared |
| ODI | Oswestry Disability Index |
| CPRIS | Chronic Pain Risk Item Set |
| LBPPS | Low Back Pain Perception Scale |
| ÖMPQ | Modified Örebro Musculoskeletal Pain Questionnaire |
| mos | Months |
| mo | Month |
| CI | Confidence interval |
| SF-12 | 12-Item Short Form Survey |
| VAS | Visual Analogue Scale |
| HADS | Hospital Anxiety and Depression Scale |
| RMDQ | Roland–Morris Disability Questionnaire |
| MD | Mean difference |
| RR | Risk ratio |
| QALYs | Quality-adjusted life years |
| X-ray | Plain radiography |
| MRI | Magnetic resonance imaging |
| SF-36 | 36-Item Short Form Survey |
| ALBPS | Aberdeen Low Back Pain Score |
| y | Year |
| NSAIDs | Non-steroidal anti-inflammatory drugs |
| NRS | Numeric Rating Scale |
| EQ-5D | EuroQol 5-Dimension |
| BDI | Beck Depression Inventory |
| HR | Hazard ratio |
| CBT | Cognitive behavioural therapy |
| MBIs | Mindfulness-based interventions |
| CT | Cognitive therapy |
| MPQ | McGill Pain Questionnaire |
| PAIRS | Pain and Impairment Relationship Scale |
| PDI | Pain Disability Index |
| HSI | Health Status Inventory |
| wks | Weeks |
| BMI | Body mass index |
| yrs | Years |
| OR | Odds ratio |
| SBI | Sciatica Bothersomeness Index |
| VNS | Visual Numeric Scale |
| LBPBI | Low Back Pain Bothersomeness |
| RF | Radiofrequency |
| PNE | Pain neuroscience education; |
| TSK | Tampa Scale for Kinesiophobia |
| GLITtER | Green Light Imaging Intervention to Enhance Recovery |
Supplementary Materials
The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/jcm15020528/s1, Supplementary Material S1: Search Strategy Methods; Supplementary Material S2: Forest Plots; Supplementary Material S3: Risk Assessment Tools and Stratification; Supplementary Material S4: Cost Tables. Refs. [42,43,44,45,125,126,127,128,129,130,131,132,133,134,135,136,137] are cited in Supplementary Material S3 and Ref. [138] is cited in Supplementary Material S4.
Author Contributions
Conceptualisation, M.A., A.A. and H.A.R.; methodology, M.A., A.A., H.A.R., G.R., H.H.A., H.I.A., K.A., W.A., O.A.A., M.B., Y.A., I.A., S.M.B., M.S.A., K.B., F.A. and M.A.A.; validation, M.A., A.A., H.A.R., G.R., H.H.A., H.I.A., K.A., W.A., O.A.A., M.B., Y.A., I.A., S.M.B., M.S.A., K.B., F.A. and M.A.A.; formal analysis, M.A., A.A., H.A.R., G.R., H.H.A., H.I.A., K.A., W.A., O.A.A., M.B., Y.A., I.A., S.M.B., M.S.A., K.B., F.A. and M.A.A.; investigation, M.A., A.A., H.A.R., G.R., H.H.A., H.I.A., K.A., W.A., O.A.A., M.B., Y.A., I.A., S.M.B., M.S.A., K.B., F.A. and M.A.A.; resources, M.A., A.A., H.A.R., G.R. and K.B.; data curation, M.A., A.A., H.A.R., G.R. and K.B.; writing—original draft preparation, M.A.A.; writing—review and editing, M.A., A.A., H.A.R., G.R., H.H.A., H.I.A., K.A., W.A., O.A.A., M.B., Y.A., I.A., S.M.B., M.S.A., K.B., F.A. and M.A.A.; visualisation, M.A.A.; supervision, M.A., A.A., H.A.R., G.R. and K.B.; project administration, M.A., A.A., H.A.R., G.R. and K.B.; funding acquisition, M.A., A.A., H.A.R. and F.A. All authors have read and agreed to the published version of the manuscript.
Institutional Review Board Statement
This clinical practice guideline did not require ethical review or approval, as it involved the appraisal and synthesis of existing evidence and expert consensus without the collection of primary data from human participants. In addition, the Health Holding Company’s representatives conveyed their formal verbal approval to develop a national clinical practice guideline on LBP during a status meeting held on 6 September 2021.
Informed Consent Statement
Not applicable.
Data Availability Statement
The original contributions presented in the study are included in the article; further inquiries can be directed at the corresponding author.
Conflicts of Interest
Author Klara Brunnhuber was employed by the company Elsevier Limited. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Funding Statement
The contract between Elsevier Ltd. and the Health Holding Company (legally represented by Takamol Holding) was signed on 2 August 2021 (Contract ID: TKM-02486) to support the development of a specified number of national clinical practice guidelines in Saudi Arabia, including the present guideline. In addition, the logistical costs associated with this research, including publication charges, were funded by the Saudi Spine Society (Grant No. SSS-04-12-2025).
Footnotes
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
References
- 1.GBD 2021 Low Back Pain Collaborators Global, regional, and national burden of low back pain, 1990–2020, its attributable risk factors, and projections to 2050: A systematic analysis of the Global Burden of Disease Study 2021. Lancet Rheumatol. 2023;5:e316–e329. doi: 10.1016/S2665-9913(23)00098-X. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.GBD 2023 Disease and Injury and Risk Factor Collaborators Burden of 375 diseases and injuries, risk-attributable burden of 88 risk factors, and healthy life expectancy in 204 countries and territories, including 660 subnational locations, 1990–2023: A systematic analysis for the Global Burden of Disease Study 2023. Lancet. 2025;406:1873–1922. doi: 10.1016/s0140-6736(25)01637-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Tyrovolas S., El Bcheraoui C., Alghnam S.A., Alhabib K.F., Almadi M.A.H., Al-Raddadi R.M., Bedi N., El Tantawi M., Krish V.S., Memish Z.A., et al. The burden of disease in Saudi Arabia 1990–2017: Results from the Global Burden of Disease Study 2017. Lancet Planet. Health. 2020;4:e195–e208. doi: 10.1016/S2542-5196(20)30075-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Alamam D.M., Moloney N., Leaver A., Alsobayel H.I., Mackey M.G. Multidimensional prognostic factors for chronic low back pain-related disability: A longitudinal study in a Saudi population. Spine J. 2019;19:1548–1558. doi: 10.1016/j.spinee.2019.05.010. [DOI] [PubMed] [Google Scholar]
- 5.Awwad W., Alfayez S., Bin Dous A., Alrabiei Q., Altowim A., Almutair A., Arafah O. Knowledge around back pain and spinal disorders among Saudi patients: A cross-sectional study. J. Pak. Med. Assoc. 2017;67:1228–1231. [PubMed] [Google Scholar]
- 6.Alhowimel A.S., Alodaibi F., Alshehri M.M., Alqahtani B.A., Alotaibi M., Alenazi A.M. Prevalence and Risk Factors Associated with Low Back Pain in the Saudi Adult Community: A Cross-Sectional Study. Int. J. Environ. Res. Public Health. 2021;18:13288. doi: 10.3390/ijerph182413288. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Buragadda S., Aleisa E.S., Melam G.R. Fear Avoidance Beliefs and Disability among Women with Low Back Pain. Neuropsychiatry. 2018;8:73–79. doi: 10.4172/Neuropsychiatry.1000326. [DOI] [Google Scholar]
- 8.Hartvigsen J., Hancock M.J., Kongsted A., Louw Q., Ferreira M.L., Genevay S., Hoy D., Karppinen J., Pransky G., Sieper J., et al. What low back pain is and why we need to pay attention. Lancet. 2018;391:2356–2367. doi: 10.1016/S0140-6736(18)30480-X. [DOI] [PubMed] [Google Scholar]
- 9.Henschke N., Maher C.G., Refshauge K.M., Herbert R.D., Cumming R.G., Bleasel J., York J., Das A., McAuley J.H. Prevalence of and screening for serious spinal pathology in patients presenting to primary care settings with acute low back pain. Arthritis Rheum. 2009;60:3072–3080. doi: 10.1002/art.24853. [DOI] [PubMed] [Google Scholar]
- 10.Younas S., Jabbar A., Khurshid H., Tariq S., Jabeen T., Rahman A., Majeed S. Risk factors, prevention, and primary and secondary management of sciatica: An updated overview. Cureus. 2022;14:e31405. doi: 10.7759/cureus.31405. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Alanzi M.S.Z., Almuhawwis A.G.A., Abo El-Fetoh N.M. Low back pain in population of Arar City, Northern Saudi Arabia: An epidemiological study. Egypt. J. Hosp. Med. 2017;69:2432–2437. doi: 10.12816/0042575. [DOI] [Google Scholar]
- 12.Šagát P., Bartík P., Prieto González P., Tohănean D.I., Knjaz D. Impact of COVID-19 quarantine on low back pain intensity, prevalence, and associated risk factors among adult citizens residing in Riyadh (Saudi Arabia): A cross-sectional study. Int. J. Environ. Res. Public Health. 2020;17:7302. doi: 10.3390/ijerph17197302. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Alghadir A.H., Tse C., Iqbal A., Al-Khater M., Al-Rasheed G. The prevalence and association of stress urinary incontinence, core muscle endurance, and low back pain among married women in Saudi Arabia: A case-control study. Biomed Res. Int. 2021;2021:5586213. doi: 10.1155/2021/5533241. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Al Faraj S., Al Mutairi K. Vitamin D deficiency and chronic low back pain in Saudi Arabia. Spine. 2003;28:177–179. doi: 10.1097/00007632-200301150-00015. [DOI] [PubMed] [Google Scholar]
- 15.Zadro J.R., Shirley D., Amorim A.B., Pérez-Riquelme F., Ordoñana J.R., Ferreira P.H. Are people with chronic low back pain meeting the physical activity guidelines? A co-twin control study. Spine J. 2017;17:761–772. doi: 10.1016/j.spinee.2017.01.015. [DOI] [PubMed] [Google Scholar]
- 16.Lotfi A., Abdel-Nasser A.M., Hamdy A., Omran A.A., El-Rehany M.A. Hypovitaminosis D in female patients with chronic low back pain. Clin. Rheumatol. 2007;26:1895–1901. doi: 10.1007/s10067-007-0603-4. [DOI] [PubMed] [Google Scholar]
- 17.Woodman A., Homan M., Niaz A., Al-Jamea L., Akhtar M., Sager M. Low back pain among healthcare personnel in Saudi Arabia: A systematic review. Ibnosina J. Med. Biomed. Sci. 2020;12:123–132. doi: 10.4103/ijmbs.ijmbs_56_20. [DOI] [Google Scholar]
- 18.Aldera M.A., Alexander C.M., McGregor A.H. Prevalence and incidence of low back pain in the Kingdom of Saudi Arabia: A systematic review. J. Epidemiol. Glob. Health. 2020;10:269–275. doi: 10.2991/jegh.k.200417.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Al Amer H.S. Low back pain prevalence and risk factors among health workers in Saudi Arabia: A systematic review and meta-analysis. J. Occup. Health. 2020;62:e12155. doi: 10.1002/1348-9585.12155. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Keriri H.M. Prevalence and risk factors of low back pain among nurses in operating rooms, Taif, Saudi Arabia. J. Med. Sci. Res. 2013;4:47–53. doi: 10.5958/j.2321-5798.4.1.001. [DOI] [Google Scholar]
- 21.AlDajah S. Prevalence and risk factors of low back pain among nurses in Sudayr region. Eur. Sci. J. 2013;9:1857–7881. [Google Scholar]
- 22.Attar S.M. Frequency and risk factors of musculoskeletal pain in nurses at a tertiary centre in Jeddah, Saudi Arabia: A cross-sectional study. BMC Res. Notes. 2014;7:61. doi: 10.1186/1756-0500-7-61. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Jradi H., Alanazi H., Mohammad Y. Psychosocial and occupational factors associated with low back pain among nurses in Saudi Arabia. J. Occup. Health. 2020;62:e12126. doi: 10.1002/1348-9585.12126. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Alghadir A., Zafar H., Iqbal Z.A., Al-Eisa E. Work-related low back pain among physical therapists in Riyadh, Saudi Arabia. Workplace Health Saf. 2017;65:337–345. doi: 10.1177/2165079916670167. [DOI] [PubMed] [Google Scholar]
- 25.Aljanakh M., Shaikh S., Siddiqui A.A., Al-Mansour M., Hassan S.S. Prevalence of musculoskeletal disorders among dentists in the Ha’il Region of Saudi Arabia. Ann. Saudi Med. 2015;35:456–461. doi: 10.5144/0256-4947.2015.456. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Abduljabbar T., Abdullah M. Musculoskeletal disorders among dentists in Saudi Arabia. Pak. Oral Dent. J. 2008;28:135–139. [Google Scholar]
- 27.Dighriri Y.H., Akkur M.A., Alharbi S.A., Madkhali N.A., Matabi K.I., Mahfouz M.S. Prevalence and associated factors of neck, shoulder, and low-back pains among medical students at Jazan University, Saudi Arabia: A cross-sectional study. J. Fam. Med. Prim. Care. 2019;8:3826–3831. doi: 10.4103/jfmpc.jfmpc_721_19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Alturkistani L.H., Hendi O.M., Bajaber A.S., Alhamoud M.A., Althobaiti S.S., Alharthi T.A., Atallah A.A. Prevalence of lower back pain and its relation to stress among medical students in Taif University, Saudi Arabia. Int. J. Prev. Med. 2020;11:56. doi: 10.4103/ijpvm.IJPVM_264_19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.AlShayhan F.A., Saadeddin M. Prevalence of low back pain among health sciences students. Eur. J. Orthop. Surg. Traumatol. 2018;28:165–170. doi: 10.1007/s00590-017-2034-5. [DOI] [PubMed] [Google Scholar]
- 30.Alrabai H., Aladhayani M., Alshahrani S., Alwethenani Z., Alsahil M., Algarni A. Low back pain prevalence and associated risk factors among medical students at four major medical colleges in Saudi Arabia. J. Nat. Sci. Med. 2021;4:202–208. doi: 10.4103/jnsm.jnsm_132_20. [DOI] [Google Scholar]
- 31.Alghadir A., Anwer S. Prevalence of musculoskeletal pain in construction workers in Saudi Arabia. Sci. World J. 2015;2015:529873. doi: 10.1155/2015/529873. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Abdel-Salam D.M., Almuhaisen A.S., Alsubiti R.A., Aldhuwayhi N.F., Almotairi F.S., Alzayed S.M., Bakri F.F. Musculoskeletal pain and its correlates among secondary school female teachers in Aljouf region, Saudi Arabia. J. Public Health. 2021;29:211–217. [Google Scholar]
- 33.Elnaggar R., Elshazly F., Mahmoud W., Ahmed A. Determinants and relative risks of low back pain among the employees in Al-Kharj area, Saudi Arabia. Eur. J. Sci. Res. 2015;137:246–255. [Google Scholar]
- 34.Assiri A., Mahfouz A.A., Awadalla N.J., Abolyazid A.Y., Shalaby M., Abogamal A., Alsabaani A., Riaz F. Classroom furniture mismatch and back pain among adolescent school-children in Abha City, Southwestern Saudi Arabia. Int. J. Environ. Res. Public Health. 2019;16:1395. doi: 10.3390/ijerph16081395. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Issa L.F., Seleem N.A., Bakheit A.M., Baky A.A., Fahad A.A. Low back pain among undergraduate students at Taif University, Saudi Arabia. Int. J. Public Health Epidemiol. 2016;5:264–272. [Google Scholar]
- 36.Memish Z.A., Alqahtani A.S., Al-Azemi N., Abu Alhamayel N., Saeedi M., Abuzinada S., Albarakati R.G., Natarajan S., Alvira X., Bilimoria K., et al. A new era of national guideline development in Saudi Arabia. J. Epidemiol. Glob. Health. 2022;12:83–90. doi: 10.1007/s44197-022-00076-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.National Institute for Health and Care Excellence (NICE) Low Back Pain and Sciatica in Over 16s: Assessment and Management (NICE Guideline NG59) NICE; London, UK: 2016. [PubMed] [Google Scholar]
- 38.Wood L., Hendrick P.A. A systematic review and meta-analysis of pain neuroscience education for chronic low back pain: Short- and long-term outcomes of pain and disability. Eur. J. Pain. 2019;23:234–249. doi: 10.1002/ejp.1314. [DOI] [PubMed] [Google Scholar]
- 39.Schünemann H.J., Wiercioch W., Brożek J., Etxeandia-Ikobaltzeta I., Mustafa R.A., Manja V., Brignardello-Petersen R., Neumann I., Falavigna M., Alhazzani W., et al. GRADE Evidence to Decision (EtD) frameworks for adoption, adaptation, and de novo development of trustworthy recommendations: GRADE-ADOLOPMENT. J. Clin. Epidemiol. 2017;81:101–110. doi: 10.1016/j.jclinepi.2016.09.009. [DOI] [PubMed] [Google Scholar]
- 40.Brouwers M.C., Kho M.E., Browman G.P., Burgers J.S., Cluzeau F., Feder G., Fervers B., Graham I.D., Grimshaw J., Hanna S.E., et al. AGREE II: Advancing guideline development, reporting, and evaluation in health care. Can. Med Assoc. J. 2010;182:E839–E842. doi: 10.1503/cmaj.090449. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Schünemann H., Brożek J., Guyatt G., Oxman A. The GRADE Handbook. Cochrane Collaboration; London, UK: 2013. [Google Scholar]
- 42.Morsø L., Kent P., Manniche C., Albert H.B. The predictive ability of the STarT Back Screening Tool in a Danish secondary care setting. Eur. Spine J. 2014;23:120–128. doi: 10.1007/s00586-013-2861-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Von Korff M., Shortreed S.M., Saunders K.W., Leresche L., Berlin J.A., Stang P., Turner J.A. Comparison of back pain prognostic risk stratification item sets. J. Pain. 2014;15:81–89. doi: 10.1016/j.jpain.2013.09.013. [DOI] [PubMed] [Google Scholar]
- 44.Gabel C.P., Melloh M., Yelland M., Burkett B., Roiko A. Predictive ability of a modified Örebro Musculoskeletal Pain Questionnaire in an acute/subacute low back pain working population. Eur. Spine J. 2011;20:449–457. doi: 10.1007/s00586-010-1509-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Jellema P., van der Windt D.A.W.M., van der Horst H.E., Stalman W.A.B., Bouter L.M. Prediction of an unfavourable course of low back pain in general practice: Comparison of four instruments. Br. J. Gen. Pract. 2007;57:15–22. [PMC free article] [PubMed] [Google Scholar]
- 46.Newell D., Field J., Pollard D. Using the STarT Back Tool: Does timing of stratification matter? Man. Ther. 2015;20:533–539. doi: 10.1016/j.math.2014.08.001. [DOI] [PubMed] [Google Scholar]
- 47.Morsø L., Kent P., Albert H.B., Hill J.C., Kongsted A., Manniche C. The predictive and external validity of the STarT Back Tool in Danish primary care. Eur. Spine J. 2013;22:1859–1867. doi: 10.1007/s00586-013-2690-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Morsø L., Albert H., Kent P., Manniche C., Hill J. Translation and discriminative validation of the STarT Back Screening Tool into Danish. Eur. Spine J. 2011;20:216–222. doi: 10.1007/s00586-011-1911-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Hill J.C., Dunn K.M., Lewis M., Mullis R., Main C.J., Foster N.E., Hay E.M. A primary care back pain screening tool: Identifying patient subgroups for initial treatment. Arthritis Rheum. 2008;59:632–641. doi: 10.1002/art.23563. [DOI] [PubMed] [Google Scholar]
- 50.Childs J.D., Piva S.R. Psychometric properties of the Functional Rating Index in patients with low back pain. Eur. Spine J. 2005;14:1008–1012. doi: 10.1007/s00586-005-0900-z. [DOI] [PubMed] [Google Scholar]
- 51.Pagé I., Abboud J., O’Shaughnessy J., Laurencelle L., Descarreaux M. Chronic low back pain clinical outcomes present higher associations with the STarT Back Screening Tool than with physiologic measures: A 12-month cohort study. BMC Musculoskelet. Disord. 2015;16:201. doi: 10.1186/s12891-015-0669-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Hill J.C., Whitehurst D.G.T., Lewis M., Bryan S., Dunn K.M., Foster N.E., Konstantinou K., Main C.J., Mason E., Somerville S., et al. Comparison of stratified primary care management for low back pain with current best practice (STarT Back): A randomised controlled trial. Lancet. 2011;378:1560–1571. doi: 10.1016/S0140-6736(11)60937-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Foster N.E., Mullis R., Hill J.C., Lewis M., Whitehurst D.G.T., Doyle C., Konstantinou K., Main C., Somerville S., Sowden G., et al. Effect of stratified care for low back pain in family practice (IMPaCT Back): A prospective population-based sequential comparison. Ann. Fam. Med. 2014;12:102–111. doi: 10.1370/afm.1625. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Cherkin D., Balderson B., Wellman R., Hsu C., Sherman K.J., Evers S.C., Hawkes R., Cook A., Levine M.D., Piekara D., et al. Effect of low back pain risk-stratification strategy on patient outcomes and care processes: The MATCH randomized trial in primary care. J. Gen. Intern. Med. 2018;33:1795–1805. doi: 10.1007/s11606-018-4468-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Whitehurst D.G.T., Bryan S., Lewis M., Hay E.M., Mullis R., Foster N.E. Implementing stratified primary care management for low back pain: Cost-utility analysis alongside a prospective, population-based, sequential comparison study. Spine. 2015;40:405–414. doi: 10.1097/BRS.0000000000000770. [DOI] [PubMed] [Google Scholar]
- 56.Whitehurst D.G.T., Bryan S., Lewis M., Hill J., Hay E.M. Exploring the cost-utility of stratified primary care management for low back pain compared with current best practice within risk-defined subgroups. Ann. Rheum. Dis. 2012;71:1796–1802. doi: 10.1136/annrheumdis-2011-200731. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Gilbert F.J., Grant A.M., Gillan M.G.C., Vale L., Scott N.W., Campbell M.K., Wardlaw D., Knight D., McIntosh E., Porter R.W. Does early imaging influence management and improve outcome in patients with low back pain? A pragmatic randomised controlled trial. Health Technol. Assess. 2004;8:1–131. doi: 10.3310/hta8170. [DOI] [PubMed] [Google Scholar]
- 58.Kerry S., Hilton S., Patel S., Dundas D., Rink E., Lord J. Routine referral for radiography of patients presenting with low back pain: Is patient outcome influenced by general practitioners’ referral for plain radiography? Health Technol. Assess. 2000;4:1–109. doi: 10.3310/hta4200. [DOI] [PubMed] [Google Scholar]
- 59.Kendrick D., Fielding K., Bentley E., Miller P., Kerslake R., Pringle M. The role of radiography in primary care patients with low back pain of at least six weeks duration: A randomised (unblinded) controlled trial. Health Technol. Assess. 2001;5:1–119. doi: 10.3310/hta5300. [DOI] [PubMed] [Google Scholar]
- 60.Lambeek L.C., van Mechelen W., Buijs P.C., Loisel P., Anema J.R. An integrated care program to prevent work disability due to chronic low back pain: A process evaluation within a randomized controlled trial. BMC Musculoskelet. Disord. 2009;10:147. doi: 10.1186/1471-2474-10-147. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Baron R., Freynhagen R., Tölle T.R., Cloutier C., Leon T., Murphy T.K., Phillips K. The efficacy and safety of pregabalin in the treatment of neuropathic pain associated with chronic lumbosacral radiculopathy. Pain. 2010;150:420–427. doi: 10.1016/j.pain.2010.04.013. [DOI] [PubMed] [Google Scholar]
- 62.Brötz D., Maschke E., Burkard S., Engel C., Mänz C., Ernemann U., Wick W., Weller M. Is there a role for benzodiazepines in the management of lumbar disc prolapse with acute sciatica? Pain. 2010;149:470–475. doi: 10.1016/j.pain.2010.02.015. [DOI] [PubMed] [Google Scholar]
- 63.Dreiser R.L., Le Parc J.M., Vélicitat P., Lleu P.L. Oral meloxicam is effective in acute sciatica: Two randomised, double-blind trials versus placebo or diclofenac. Inflamm. Res. 2001;50:17–23. doi: 10.1007/PL00022375. [DOI] [PubMed] [Google Scholar]
- 64.Mathieson S., Maher C.G., McLachlan A.J., Latimer J., Koes B.W., Hancock M.J., Harris I., Day R.O., Billot L., Pik J., et al. Trial of pregabalin for acute and chronic sciatica. N. Engl. J. Med. 2017;376:1111–1120. doi: 10.1056/NEJMoa1614292. [DOI] [PubMed] [Google Scholar]
- 65.Yildirim K., Şişecioğlu M., Karatay S., Erdal A., Akin L., Akin U., Şenel K.M. The effectiveness of gabapentin in patients with chronic radiculopathy. Pain Clin. 2003;15:213–218. doi: 10.1163/156856903767650718. [DOI] [Google Scholar]
- 66.Goldberg H., Firtch W., Tyburski M., Pressman A., Ackerson L., Hamilton L., Smith W., Carver R., Maratukulam A., Won L.A., et al. Oral steroids for acute radiculopathy due to a herniated lumbar disk: A randomized clinical trial. JAMA. 2015;313:1915–1923. doi: 10.1001/jama.2015.4468. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Herrmann W.A., Geertsen M.S. Efficacy and safety of lornoxicam compared with placebo and diclofenac in acute sciatica/lumbo-sciatica: An analysis from a randomised, double-blind, multicentre, parallel-group study. Int. J. Clin. Pract. 2009;63:1613–1621. doi: 10.1111/j.1742-1241.2009.02187.x. [DOI] [PubMed] [Google Scholar]
- 68.Atkinson J.H., Slater M.A., Capparelli E.V., Patel S.M., Wolfson T., Gamst A., Abramson I.S., Wallace M.S., Funk S.D., Rutledge T.R., et al. A randomized controlled trial of gabapentin for chronic low back pain with and without a radiating component. Pain. 2016;157:1499–1507. doi: 10.1097/j.pain.0000000000000554. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Toroski M., Nikfar S., Mojahedian M.M., Ayati M.H. Comparison of the cost-utility analysis of electroacupuncture and nonsteroidal antiinflammatory drugs in the treatment of chronic low back pain. J. Acupunct. Meridian Stud. 2018;11:185–191. doi: 10.1016/j.jams.2018.01.003. [DOI] [PubMed] [Google Scholar]
- 70.Cashin A.G., Folly T., Bagg M.K., Wewege M.A., Jones M.D., Ferraro M.C., Leake H.B., Rizzo R.N., Schabrun S.M., Gustin S.M., et al. Efficacy, acceptability, and safety of muscle relaxants for adults with non-specific low back pain: Systematic review and meta-analysis. BMJ. 2021;374:n1446. doi: 10.1136/bmj.n1446. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Ferraro M.C., Bagg M.K., Wewege M.A., Cashin A.G., Leake H.B., Rizzo R.N., Jones M.D., Gustin S.M., Day R., Loo C.K., et al. Efficacy, acceptability, and safety of antidepressants for low back pain: A systematic review and meta-analysis. Syst. Rev. 2021;10:62. doi: 10.1186/s13643-021-01599-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Anema J.R., Steenstra I.A., Bongers P.M., de Vet H.C.W., Knol D.L., Loisel P., van Mechelen W. Multidisciplinary rehabilitation for subacute low back pain: Graded activity or workplace intervention or both? A randomized controlled trial. Spine. 2007;32:236–243. doi: 10.1097/01.brs.0000253604.90039.ad. [DOI] [PubMed] [Google Scholar]
- 73.Lambeek L.C., van Mechelen W., Knol D.L., Loisel P., Anema J.R. Randomised controlled trial of integrated care to reduce disability from chronic low back pain in working and private life. BMJ. 2010;340:c1035. doi: 10.1136/bmj.c1035. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Whitfill T., Haggard R., Bierner S.M., Pransky G., Hassett R.G., Gatchel R.J. Early intervention options for acute low back pain patients: A randomized clinical trial with one-year follow-up outcomes. J. Occup. Rehabil. 2010;20:200–214. doi: 10.1007/s10926-010-9238-4. [DOI] [PubMed] [Google Scholar]
- 75.Salathé C., Rolli M., Crawford R., Scherrer S., Boos N., Elfering A. Treatment efficacy, clinical utility, and cost-effectiveness of multidisciplinary biopsychosocial rehabilitation treatments for persistent low back pain: A systematic review. Glob. Spine J. 2018;8:872–883. doi: 10.1177/2192568218765483. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Steenstra I.A., Anema J.R., van Tulder M.W., Bongers P.M., de Vet H.C.W., van Mechelen W. Economic evaluation of a multi-stage return to work program for workers on sick-leave due to low back pain. J. Occup. Rehabil. 2006;16:557–578. doi: 10.1007/s10926-006-9053-0. [DOI] [PubMed] [Google Scholar]
- 77.Lambeek L.C., Bosmans J.E., van Royen B.J., van Tulder M.W., van Mechelen W., Anema J.R. Effect of integrated care for sick-listed patients with chronic low back pain: Economic evaluation alongside a randomised controlled trial. BMJ. 2010;341:c6414. doi: 10.1136/bmj.c6414. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Newcomer K.L., Vickers Douglas K.S., Shelerud R.A., Long K.H., Crawford B. Is a videotape to change beliefs and behaviors superior to a standard videotape in acute low back pain? A randomized controlled trial. Spine J. 2008;8:196–204. doi: 10.1016/j.spinee.2007.08.007. [DOI] [PubMed] [Google Scholar]
- 79.Sanderson K.B., Roditi D., George S.Z., Atchison J.W., Banou E., Robinson M.E. Investigating patient expectations and treatment outcome in a chronic low back pain population. J. Pain Res. 2012;5:15–22. doi: 10.2147/jpr.s28636. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Carpenter K.M., Stoner S.A., Mundt J.M., Stoelb B. An online self-help CBT intervention for chronic lower back pain. Clin. J. Pain. 2012;28:14–20. doi: 10.1097/AJP.0b013e31822363db. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Göhner W., Schlicht W. Preventing chronic back pain: Evaluation of a theory-based cognitive-behavioural training programme for patients with subacute back pain. Patient Educ. Couns. 2006;64:87–95. doi: 10.1016/j.pec.2005.11.018. [DOI] [PubMed] [Google Scholar]
- 82.Linden M., Scherbe S., Cicholas B. Randomized controlled trial on the effectiveness of cognitive behavior group therapy in chronic back pain patients. J. Back Musculoskelet. Rehabil. 2014;27:563–568. doi: 10.3233/BMR-140518. [DOI] [PubMed] [Google Scholar]
- 83.Menzel N.N., Robinson M.E. Back pain in direct patient care providers: Early intervention with cognitive behavioral therapy. Pain Manag. Nurs. 2006;7:31–41. doi: 10.1016/j.pmn.2006.02.002. [DOI] [PubMed] [Google Scholar]
- 84.Smeets R.J.E.M., Vlaeyen J.W.S., Kester A.D.M., Knottnerus J.A. Reduction of pain catastrophizing mediates the outcome of both physical and cognitive-behavioral treatment in chronic low back pain. J. Pain. 2006;7:261–271. doi: 10.1016/j.jpain.2005.10.011. [DOI] [PubMed] [Google Scholar]
- 85.Jellema P., van der Windt D.A.W.M., van der Horst H.E., Twisk J.W.R., Stalman W.A.B., Bouter L.M. Should treatment of (sub)acute low back pain be aimed at psychosocial prognostic factors? Cluster randomised clinical trial in general practice. BMJ. 2005;331:84. doi: 10.1136/bmj.38495.686736.E0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.Morone N.E., Greco C.M., Weiner D.K. Mindfulness meditation for the treatment of chronic low back pain in older adults: A randomized controlled pilot study. Pain. 2008;134:310–319. doi: 10.1016/j.pain.2007.04.038. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Banth S., Ardebil M.D. Effectiveness of mindfulness meditation on pain and quality of life of patients with chronic low back pain. Int. J. Yoga. 2015;8:128–133. doi: 10.4103/0973-6131.158476. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Storheim K., Brox J.I., Holm I., Koller A.K., Bø K. Intensive group training versus cognitive intervention in sub-acute low back pain: Short-term results of a single-blind randomized controlled trial. J. Rehabil. Med. 2003;35:132–140. doi: 10.1080/16501970310010484. [DOI] [PubMed] [Google Scholar]
- 89.Cherkin D.C., Sherman K.J., Balderson B.H., Cook A.J., Anderson M.L., Hawkes R.J., Hansen K.E., Turner J.A. Effect of mindfulness-based stress reduction vs cognitive behavioral therapy or usual care on back pain and functional limitations in adults with chronic low back pain: A randomized clinical trial. JAMA. 2016;315:1240–1249. doi: 10.1001/jama.2016.2323. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Ardito R.B., Pirro P.S., Re T.S., Bonapace I., Menardo V., Bruno E., Gianotti L. Mindfulness-based stress reduction program on chronic low back pain: A study investigating the impact on endocrine, physical, and psychologic functioning. J. Altern. Complement. Med. 2017;23:140–147. doi: 10.1089/acm.2016.0423. [DOI] [PubMed] [Google Scholar]
- 91.Jellema P., van der Roer N., van der Windt D.A.W.M., van Tulder M.W., van der Horst H.E., Stalman W.A.B., Bouter L.M. Low back pain in general practice: Cost-effectiveness of a minimal psychosocial intervention versus usual care. Eur. Spine J. 2007;16:1487–1495. doi: 10.1007/s00586-007-0439-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Herman P.M., Anderson M.L., Sherman K.J., Balderson B.H., Turner J.A., Cherkin D.C. Cost-effectiveness of mindfulness-based stress reduction versus cognitive behavioral therapy or usual care among adults with chronic low back pain. Spine. 2017;42:1511–1520. doi: 10.1097/BRS.0000000000002344. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Buchner M., Zeifang F., Brocai D.R.C., Schiltenwolf M. Epidural corticosteroid injection in the conservative management of sciatica. Clin. Orthop. Relat. Res. 2000;375:149–156. doi: 10.1097/00003086-200006000-00018. [DOI] [PubMed] [Google Scholar]
- 94.Dincer U., Kiralp M.Z., Cakar E., Yasar E., Dursan H. Caudal epidural injection versus non-steroidal anti-inflammatory drugs in the treatment of low back pain accompanied with radicular pain. Jt. Bone Spine. 2007;74:467–471. doi: 10.1016/j.jbspin.2006.09.016. [DOI] [PubMed] [Google Scholar]
- 95.Laiq N., Khan M.N., Iqbal M.J., Khan S. Comparison of epidural steroid injections with conservative management in patients with lumbar radiculopathy. J. Coll. Physicians Surg. Pak. 2009;19:539–543. [PubMed] [Google Scholar]
- 96.Pearson A., Lurie J., Tosteson T., Zhao W., Abdu W., Weinstein J.N. Who should have surgery for spinal stenosis? Treatment effect predictors in SPORT. Spine. 2012;37:1791–1802. doi: 10.1097/BRS.0b013e3182634b04. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Cook C.E., Arnold P.M., Passias P.G., Frempong-Boadu A.K., Radcliff K., Isaacs R., Association for Collaborative Spine Research (ACSR) Predictors of pain and disability outcomes in one thousand, one hundred and eight patients who underwent lumbar discectomy surgery. Int. Orthop. 2015;39:1147–1154. doi: 10.1007/s00264-015-2748-0. [DOI] [PubMed] [Google Scholar]
- 98.Ostelo R.W.J.G., Vlaeyen J.W.S., van den Brandt P.A., de Vet H.C.W. Residual complaints following lumbar disc surgery: Prognostic indicators of outcome. Pain. 2005;114:177–185. doi: 10.1016/j.pain.2004.12.021. [DOI] [PubMed] [Google Scholar]
- 99.Weinstein J.N., Tosteson T.D., Lurie J.D., Tosteson A.N.A., Blood E., Hanscom B., Herkowitz H., Cammisa F., Albert T., Boden S.D., et al. Surgical versus nonsurgical therapy for lumbar spinal stenosis. N. Engl. J. Med. 2008;358:794–810. doi: 10.1056/NEJMoa0707136. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 100.Weinstein J.N., Tosteson T.D., Lurie J.D., Tosteson A.N.A., Hanscom B., Skinner J.S., Abdu W.A., Hilibrand A.S., Boden S.D., Deyo R.A. Surgical vs nonoperative treatment for lumbar disk herniation: The Spine Patient Outcomes Research Trial (SPORT): A randomized trial. JAMA. 2006;296:2441–2450. doi: 10.1001/jama.296.20.2441. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101.Peul W.C., van Houwelingen H.C., van den Hout W.B., Brand R., Eekhof J.A.H., Tans J.T.J., Thomeer R.T.W.M., Koes B.W., Leiden–The Hague Spine Intervention Prognostic Study Group Surgery versus prolonged conservative treatment for sciatica. N. Engl. J. Med. 2007;356:2245–2256. doi: 10.1056/NEJMoa064039. [DOI] [PubMed] [Google Scholar]
- 102.Osterman H., Seitsalo S., Karppinen J., Malmivaara A. Effectiveness of microdiscectomy for lumbar disc herniation: A randomized controlled trial with 2 years of follow-up. Spine. 2006;31:2409–2414. doi: 10.1097/01.brs.0000239178.08796.52. [DOI] [PubMed] [Google Scholar]
- 103.McMorland G., Suter E., Casha S., du Plessis S.J., Hurlbert R.J. Manipulation or microdiskectomy for sciatica? A prospective randomized clinical study. J. Manipulative Physiol. Ther. 2010;33:576–584. doi: 10.1016/j.jmpt.2010.08.013. [DOI] [PubMed] [Google Scholar]
- 104.Erginousakis D., Filippiadis D.K., Malagari A., Kostakos A., Brountzos E., Kelekis N.L., Kelekis A. Comparative prospective randomized study comparing conservative treatment and percutaneous disk decompression for treatment of intervertebral disk herniation. Radiology. 2011;260:487–493. doi: 10.1148/radiol.11101094. [DOI] [PubMed] [Google Scholar]
- 105.Gerszten P.C., Smuck M., Rathmell J.P., Simopoulos T.T., Bhagia S.M., Mocek C.K., Crabtree T., Bloch D.A., SPINE Study Group Plasma disc decompression compared with fluoroscopy-guided transforaminal epidural steroid injections for symptomatic contained lumbar disc herniation: A prospective, randomized, controlled trial. J. Neurosurg. Spine. 2010;12:357–371. doi: 10.3171/2009.10.SPINE09208. [DOI] [PubMed] [Google Scholar]
- 106.Tosteson A.N.A., Skinner J.S., Tosteson T.D., Lurie J.D., Andersson G.B., Berven S., Grove M.R., Hanscom B., Blood E.A., Weinstein J.N. The cost effectiveness of surgical versus nonoperative treatment for lumbar disc herniation over two years: Evidence from the Spine Patient Outcomes Research Trial (SPORT) Spine. 2008;33:2108–2115. doi: 10.1097/brs.0b013e318182e390. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 107.van den Hout W.B., Peul W.C., Koes B.W., Brand R., Kievit J., Thomeer R.T.W.M., Fairbank J. Prolonged conservative care versus early surgery in patients with sciatica from lumbar disc herniation: Cost utility analysis alongside a randomised controlled trial. BMJ. 2008;336:1351–1354. doi: 10.1136/bmj.39583.709074.BE. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 108.Tosteson A.N.A., Lurie J.D., Tosteson T.D., Skinner J.S., Herkowitz H., Albert T., Boden S.D., Bridwell K., Longley M., Andersson G.B., et al. Surgical treatment of spinal stenosis with and without degenerative spondylolisthesis: Cost-effectiveness after 2 years. Ann. Intern. Med. 2008;149:845–853. doi: 10.7326/0003-4819-149-12-200812160-00003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 109.Tekin I., Mirzai H., Ok G., Erbuyun K., Vatansever D. A comparison of conventional and pulsed radiofrequency denervation in the treatment of chronic facet joint pain. Clin. J. Pain. 2007;23:524–529. doi: 10.1097/AJP.0b013e318074c99c. [DOI] [PubMed] [Google Scholar]
- 110.Gallagher J., Petriccione Di Vadi P.L., Wedley J.R., Hamann W., Ryan P., Chikanza I., Kirkham B., Price R., Watson M.S., Grahame R., et al. Radiofrequency facet joint denervation in the treatment of low back pain: A prospective controlled double-blind study to assess its efficacy. Pain Clin. 1994;7:193–198. [Google Scholar]
- 111.Leclaire R., Fortin L., Lambert R., Bergeron Y.M., Rossignol M. Radiofrequency facet joint denervation in the treatment of low back pain: A placebo-controlled clinical trial to assess efficacy. Spine. 2001;26:1411–1416. doi: 10.1097/00007632-200107010-00003. [DOI] [PubMed] [Google Scholar]
- 112.van Kleef M., Barendse G.A., Kessels A., Voets H.M., Weber W.E., de Lange S. Randomized trial of radiofrequency lumbar facet denervation for chronic low back pain. Spine. 1999;24:1937–1942. doi: 10.1097/00007632-199909150-00013. [DOI] [PubMed] [Google Scholar]
- 113.Nath S., Nath C.A., Pettersson K. Percutaneous lumbar zygapophysial (facet) joint neurotomy using radiofrequency current in the management of chronic low back pain: A randomized double-blind trial. Spine. 2008;33:1291–1297. doi: 10.1097/BRS.0b013e31817329f0. [DOI] [PubMed] [Google Scholar]
- 114.Van Wijk R.M.A.W., Geurts J.W.M., Wynne H.J., Hammink E., Buskens E., Lousberg R., Knape J.T.A., Groen G.J. Radiofrequency denervation of lumbar facet joints in the treatment of chronic low back pain: A randomized, double-blind, sham lesion-controlled trial. Clin. J. Pain. 2005;21:335–344. doi: 10.1097/01.ajp.0000120792.69705.c9. [DOI] [PubMed] [Google Scholar]
- 115.Civelek E., Cansever T., Kabataş S., Kircelli A.K., Yilmaz C., Musluman M., Ofluoglu D., Caner H. Comparison of effectiveness of facet joint injection and radiofrequency denervation in chronic low back pain. Turk. Neurosurg. 2012;22:200–206. doi: 10.5137/1019-5149.JTN.5207-11.1. [DOI] [PubMed] [Google Scholar]
- 116.Maas E.T., Juch J.N.S., Ostelo R.W.J.G., Groeneweg J.G., Kallewaard J.-W., Koes B.W., Verhagen A.P., van Dongen J.M., van Tulder M.W., Huygen F.J.P.M. Cost-effectiveness of radiofrequency denervation for patients with chronic low back pain: The MINT randomized clinical trials. Value Health. 2020;23:546–557. doi: 10.1016/j.jval.2019.12.009. [DOI] [PubMed] [Google Scholar]
- 117.Wälti P., Kool J., Luomajoki H. Short-term effect on pain and function of neurophysiological education and sensorimotor retraining compared to usual physiotherapy in patients with chronic or recurrent non-specific low back pain: A pilot randomized controlled trial. BMC Musculoskelet. Disord. 2015;16:158. doi: 10.1186/s12891-015-0533-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 118.Werner E.L., Storheim K., Løchting I., Wisløff T., Grotle M. Cognitive patient education for low back pain in primary care: A cluster randomized controlled trial and cost-effectiveness analysis. Spine. 2016;41:455–462. doi: 10.1097/BRS.0000000000001268. [DOI] [PubMed] [Google Scholar]
- 119.Moseley G.L., Nicholas M.K., Hodges P.W. A randomized controlled trial of intensive neurophysiology education in chronic low back pain. Clin. J. Pain. 2004;20:324–330. doi: 10.1097/00002508-200409000-00007. [DOI] [PubMed] [Google Scholar]
- 120.Moseley L. Combined physiotherapy and education is efficacious for chronic low back pain. Aust. J. Physiother. 2002;48:297–302. doi: 10.1016/S0004-9514(14)60169-0. [DOI] [PubMed] [Google Scholar]
- 121.Téllez-García M., de-la-Llave-Rincón A.I., Salom-Moreno J., Palacios-Ceña M., Ortega-Santiago R., Fernández-de-Las-Peñas C. Neuroscience education in addition to trigger point dry needling for the management of patients with mechanical chronic low back pain: A preliminary clinical trial. J. Bodyw. Mov. Ther. 2015;19:464–472. doi: 10.1016/j.jbmt.2014.11.012. [DOI] [PubMed] [Google Scholar]
- 122.Pires D., Cruz E.B., Caeiro C. Aquatic exercise and pain neurophysiology education versus aquatic exercise alone for patients with chronic low back pain: A randomized controlled trial. Clin. Rehabil. 2015;29:1238–1249. doi: 10.1177/0269215514549033. [DOI] [PubMed] [Google Scholar]
- 123.Louw A., Farrell K., Landers M., Barclay M., Goodman E., Gillund J., McCaffrey S., Timmerman L. The effect of manual therapy and neuroplasticity education on chronic low back pain: A randomized clinical trial. J. Man. Manip. Ther. 2017;25:227–234. doi: 10.1080/10669817.2016.1231860. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 124.Malfliet A., Kregel J., Meeus M., Roussel N., Danneels L., Cagnie B., Dolphens M., Nijs J. Blended-learning pain neuroscience education for people with chronic spinal pain: Randomized controlled multicenter trial. Phys. Ther. 2018;98:357–368. doi: 10.1093/ptj/pzx092. [DOI] [PubMed] [Google Scholar]
- 125.Karran E.L., Hillier S.L., Yau Y.-H., McAuley J.H., Moseley G.L. A quasi-randomised, controlled, feasibility trial of GLITtER (Green Light Imaging Interpretation to Enhance Recovery)—A psychoeducational intervention for adults with low back pain attending secondary care. PeerJ. 2018;6:e4215. doi: 10.7717/peerj.4301. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 126.Beneciuk J.M., Bishop M.D., Fritz J.M., Robinson M.E., Asal N.R., Nisenzon A.N., George S.Z. The STarT Back Screening Tool and individual psychological measures: Evaluation of prognostic capabilities for low back pain clinical outcomes in outpatient physical therapy settings. Phys. Ther. 2013;93:321–333. doi: 10.2522/ptj.20120207. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 127.Williams C.M., Maher C.G., Latimer J., McLachlan A.J., Hancock M.J., Day R.O., Lin C.-W.C. Efficacy of paracetamol for acute low-back pain: A double-blind, randomised controlled trial. Lancet. 2014;384:1586–1596. doi: 10.1016/S0140-6736(14)60805-9. [DOI] [PubMed] [Google Scholar]
- 128.Dagfinrud H., Storheim K., Magnussen L.H., Ødegaard T., Hoftaniska I., Larsen L.G., Ringstad P.O., Hatlebrekke F., Grotle M. The predictive validity of the Örebro Musculoskeletal Pain Questionnaire and the clinician’s prognostic assessment following manual therapy treatment of patients with low back pain and neck pain. Man. Ther. 2013;18:124–129. doi: 10.1016/j.math.2012.08.002. [DOI] [PubMed] [Google Scholar]
- 129.Heneweer H., Aufdemkampe G., van Tulder M.W., Kiers H., Stappaerts K.H., Vanhees L. Psychosocial variables in patients with (sub)acute low back pain: An inception cohort in primary care physical therapy in The Netherlands. Spine. 2007;32:586–594. doi: 10.1097/01.brs.0000256447.72623.56. [DOI] [PubMed] [Google Scholar]
- 130.Maher C.G., Grotle M. Evaluation of the predictive validity of the Örebro Musculoskeletal Pain Screening Questionnaire. Clin. J. Pain. 2009;25:666–670. doi: 10.1097/AJP.0b013e3181a08732. [DOI] [PubMed] [Google Scholar]
- 131.Childs J.D., Fritz J.M., Flynn T.W., Irrgang J.J., Johnson K.K., Majkowski G.R., Delitto A. A clinical prediction rule to identify patients with low back pain most likely to benefit from spinal manipulation: A validation study. Ann. Intern. Med. 2004;141:920–928. doi: 10.7326/0003-4819-141-12-200412210-00008. [DOI] [PubMed] [Google Scholar]
- 132.Beneciuk J.M., Fritz J.M., George S.Z. The STarT Back Screening Tool for prediction of 6-month clinical outcomes: Relevance of change patterns in outpatient physical therapy settings. J. Orthop. Sports Phys. Ther. 2014;44:656–664. doi: 10.2519/jospt.2014.5178. [DOI] [PubMed] [Google Scholar]
- 133.Alfayez S.M., Bin Dous A.N., Altowim A.A., Alrabiei Q.A., Alsubaie B.O., Awwad W.M. The validity and reliability of the Arabic version of the Japanese Orthopedic Association Back Pain Evaluation Questionnaire: Can we implement it in Saudi Arabia? J. Orthop. Sci. 2017;22:647–652. doi: 10.1016/j.jos.2017.04.001. [DOI] [PubMed] [Google Scholar]
- 134.Algarni A.S., Ghorbel S., Jones J.G., Guermazi M. Validation of an Arabic version of the Oswestry Disability Index in Saudi Arabia. Ann. Phys. Rehabil. Med. 2014;57:653–663. doi: 10.1016/j.rehab.2014.06.006. [DOI] [PubMed] [Google Scholar]
- 135.Alamam D.M., Leaver A., Moloney N., Alsobayel H.I., Alashaikh G., Mackey M.G. Pain Behaviour Scale (PaBS): An exploratory study of reliability and construct validity in a chronic low back pain population. Pain Res. Manag. 2019;2019:1354362. doi: 10.1155/2019/2508019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 136.Kaki A.M., El-Yaski A.Z., Youseif E. Identifying neuropathic pain among patients with chronic low-back pain: Use of the Leeds Assessment of Neuropathic Symptoms and Signs pain scale. Reg. Anesth. Pain Med. 2005;30:422–428. doi: 10.1097/00115550-200509000-00002. [DOI] [PubMed] [Google Scholar]
- 137.Almutairi B., Alodaibi F., Alnahdi A., Omar M., Algashami A., Alonazi M. Cross-cultural adaptation and validation of the Arabic version of the Pain Self-Efficacy Questionnaire in Arab people with chronic low back pain. Physiother. Theory Pract. 2021;37:1306–1315. doi: 10.1080/09593985.2021.2005196. [DOI] [PubMed] [Google Scholar]
- 138.Bargi A., Ahmed A., Khaled A., Abdulfattah A., Kubaish A., Al Jafar S., Bahrani K., Al Saleh F., Mogairen I.R., Al Abdelbary E., et al. The cost and diagnostic value of back X-ray in back pain. Int. J. Healthc. Sci. 2015;3:300–306. [Google Scholar]
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Data Availability Statement
The original contributions presented in the study are included in the article; further inquiries can be directed at the corresponding author.

