Skip to main content
Frontiers in Oncology logoLink to Frontiers in Oncology
. 2026 Sep 14;16:1913126. doi: 10.3389/fonc.2026.1913126

Prehabilitation for patients undergoing neoadjuvant treatment: results of a single-center pilot study using an integrative medicine day clinic

Svenja Klaus-Karwisch 1,*, Stephanie Otto 2,3,4,5,6, Paul Georg Werthmann 1, Ann-Kathrin Lederer 1, André Leopold Mihaljevic 7, Fynn Treiber 8, Lena Cihlar 8, Keanu Leins 8, Benjamin Mayer 9, Klaus Kramer 1
PMCID: PMC13616645  PMID: 42806990

Abstract

Introduction

Oncological prehabilitation aims to strengthen cancer patients physically and mentally before treatment, yet it is not standard care. The Prehabilitation through an Integrative Medicine Day Clinic (PRIME-DC) study examined the feasibility of a multimodal program during neoadjuvant therapy prior to surgery.

Material and methods

In this single-arm, mono-center interventional feasibility trial, patients attended a closed-group program once weekly for eight weeks (6.5-hour sessions) scheduled across the neoadjuvant treatment period. The curriculum integrated physical exercise, nutritional and naturopathic counseling, and Mind-Body Medicine practices. The primary outcome was program adherence, defined by attendance rate. Secondary outcomes included patient-reported measures of quality of life, anxiety, depression, fatigue, sleep, mindfulness, and physical fitness tests assessed at baseline and post-intervention. Patient satisfaction were evaluated at program completion.

Results

Twenty-three of the 41 patients who were assessed for eligibility were enrolled, with an adherence rate of 69%. An exploratory within-group improvement in the 1-minute sit-to-stand test was observed from baseline to post-intervention (V1: 26.00 (22.00/34.00), V10a: 27.00 (24.99/34.00), 95% CI = 1.000 – 6.000, p = 0.02, r = 0.66), while other functional and patient-reported outcomes showed no statistically detectable within-group changes (p > 0.05). No study-related adverse events occurred. Patient satisfaction was assessed using a 17-item Likert scale (0–4). Overall, patients reported high levels of satisfaction (range: 0.00 - 1.88).

Conclusion

This pilot feasibility study provides preliminary evidence that participation in an integrative prehabilitation day-clinic program may be associated with the preservation of physical and mental health during neoadjuvant treatment. The findings indicate good feasibility and acceptability, providing a strong rationale for further investigation in larger, controlled trials.

Clinical trial registration

https://drks.de/search/de/trial/DRKS00028126, identifier DRKS00028126.

Keywords: integrative oncology, mind-body medicine, multimodal prehabilitation, neoadjuvant treatment, supportive care

1. Introduction

Neoadjuvant therapy (NAT) plays a crucial role in many solid tumors to optimize surgical outcomes and improve long-term prognosis (1–5). However, across multiple tumor entities, patients typically experience a decline in health-related Quality of Life (QoL) and physical fitness during NAT, reflecting shared treatment-related and perioperative challenges (6, 7). Furthermore, reduced postoperative fitness and QoL are associated with poorer surgical outcomes and delayed recovery in patients undergoing oncologic surgery (8, 9). To address this challenging period, prehabilitation was established. Unlike traditional rehabilitation, which focuses on recovery after treatment-related declines, prehabilitation aims to optimize a patient’s physical, nutritional, and mental health status before surgery or during NAT by anticipating and preparing the patients for relevant potential challenges (10, 11). Several studies have evaluated multimodal prehabilitation programs combining exercise, nutritional support, and psychological interventions, demonstrating that prehabilitation during NAT is feasible and safe and may lead to faster postoperative recovery, reduced treatment-related side effects, and improvements in physical and psychological outcomes (10–16). In patients with esophagogastric cancer, improvements in cardiopulmonary fitness and muscle mass have been observed, along with maintenance of physical performance (12, 13). These changes may enhance treatment response and tolerance and reduce the risk of postoperative complications, although high-quality evidence remains limited (10–13, 15, 17, 18). In addition, prehabilitation has been associated with improved QoL and greater patient empowerment by enabling individuals to take an active role in their own cancer care (19).

Integrative Oncology (IO) is defined as a subspecialty of cancer care combining conventional oncological treatments with complementary approaches with the aim to support the patients physical, emotional, and spiritual well-being (18–27). These interventions are integrated to strengthen patients’ overall condition, reduce symptom burden, enhance treatment tolerance, and improve well-being and QoL (24–27). This holistic and evidence-based approach is increasingly acknowledged in major clinical guidelines, such as those of the American Society of Clinical Oncology (ASCO) and the Society for Integrative Oncology, supplementing standard cancer therapy (20–22).

The integration of a holistic prehabilitation approach into cancer care can be implemented via a prehabilitative IO Day Clinic based on Mind-Body Medicine (MBM). MBM helps manage sleep disturbances and other psychosocial symptoms in cancer survivors (28, 29), and enhances physical, emotional, cognitive, and social functioning, alleviates fatigue, pain, anxiety, and depression, and supports coping and overall life satisfaction (30). Programs combining mindfulness, yoga, exercise, nutrition counseling, cognitive restructuring, and self-help strategies have improved global QoL and reduced stress, anxiety, and depression, particularly in breast cancer patients undergoing chemotherapy (31).

Building on this foundation, the PRehabilitation Integrative MEdicine Day Clinic (PRIME-DC) study aimed to evaluate the feasibility of a multimodal IO program for patients undergoing NAT prior to surgery, with the objective of mitigating deterioration in physical function and QoL and maintaining or improving mental and physical health parameters during NAT across different tumor entities. It also provides insights whether an IO prehabilitation day clinic can be optimized within the context of cancer treatment and recovery.

2. Materials and methods

2.1. Overview

This mono-center, single-arm interventional study aimed to assess the feasibility of implementing a prehabilitation day clinic program for cancer patients at Ulm University Hospital, a maximum care provider in Baden-Württemberg, Germany. This study was designed as a feasibility trial rather than an efficacy study targeting tumor-specific outcomes. The aim was not to demonstrate uniform clinical effectiveness across tumor types, but to evaluate the feasibility, adherence, acceptability, and implementation of a multimodal IO prehabilitation program within a real-world oncologic setting. Feasibility studies designed for pragmatic trials aim to investigate real-world applicability, including procedures such as eligibility and recruitment that reflect usual care conditions, before progressing to disease-specific trials (32). This investigation was carried out and documented in compliance with the Consolidated Standards of Reporting Trials (CONSORT) guidelines, the extension for pilot and feasibility trials, and the template for intervention description and replication (TIDieR) checklist (33–35).

During the preparation of this work the authors used ChatGPT (OpenAI, San Francisco, CA, USA) and DeepL Write (DeepL SE, Cologne, Germany) in order to assist with language editing. After using these tools, the authors reviewed and edited the content as needed and take full responsibility for the content of the published article.

2.2. Participants

All cancer patients with abdominal tumors, and breast cancers undergoing treatment at the Comprehensive Cancer Center Ulm were evaluated for eligibility for the study. Patients were required to be scheduled for, currently receiving, or to have recently completed NAT prior to planned curative surgery. All patients initiated their planned therapy during the intervention period. Further inclusion criteria were: being at least 18 years old, and having the capacity to comprehend the nature and individual implications of the clinical trial. Patients were excluded from the study if they had an American Society of Anesthesiologists physical status classification of greater than three, if they were unable to walk unassisted, or if they were currently participating in another study that could potentially affect the intervention and outcomes of this trial. Only patients who have provided informed consent were included in the study.

A maximum of 15 patients were enrolled during every eight-week cycle. Patients who withdrew their informed consent and subsequently dropped out were not replaced since the program was conducted in a closed-group setting. For reasons of traceability, the attendance of each patient was recorded on each day of the day clinic.

2.3. Intervention

The day clinic routine which comprised an IO approach, was conducted at the University Hospital Ulm in person on a weekly basis, on Mondays. The total duration of the intervention was eight weeks, and each session lasted 6.5 hours. This eight-week program was offered on three separate times. The intervention course of actions is shown in Figure 1. The program was delivered in a multidisciplinary day-care setting with group-based sessions. The program was based on the Essener model (Department of Internal and Integrative Medicine, Kliniken Essen-Mitte, Faculty of Medicine, University of Duisburg-Essen, Essen, Germany) which integrates elements of the MBM model by Herbert Benson (Harvard Medical School) and the Mindfulness-Based Stress Reduction program by Jon Kabat-Zinn (University of Massachusetts) (36). Core components include mindful physical exercise, nutritional counseling, naturopathic self-help techniques, cognitive restructuring, and patient empowerment/self-management training to promote holistic well-being (29, 36). According to this program, the investigated program in this study consisted of the following key elements:

Figure 1.

Flowchart with four labeled rectangles and arrows showing thecourse of events: Diagnose, Integrative Medicine Day Clinic plus NeoadjuvantTherapy, Surgery, and Recovery. Visit 1 between Diagnose and Integrative Medicine Day Clinic, Visit 10 between Integrative Medicine Day Clinic and surgery.

Timeline, the course of events, from diagnosis through intervention to surgery and recovery.

The program was guided by a trained medical doctor and a MBM therapist. Initially, the participants completed the questionnaires, after which a discussion ensued regarding the preceding week. This was followed by a naturopathic consultation conducted by a trained medical doctor. The exercise therapy, conducted by a certified sports therapist, included strength training, aerobic exercises, yoga, and life kinetics. The program was designed according to the FITT principles (frequency, intensity, time, type) as recommended in recent exercise-oncology guidelines and prehabilitation reviews (37, 38): participants attended one supervised 60-minute session per week at moderate intensity. This multimodal approach combined physical training with an educational component to promote correct exercise execution and to provide advice on additional home-based exercises. This session was concluded with a shared integrative lunch. The organic lunch, which was provided by a local caterer, consisted of a salad, a high-protein vegetarian meal and a dessert with fresh fruits.

After lunchtime, the application of a yarrow liver compress (39, 40) was provided by a specially trained integrative nurse, followed by a discussion on MBM topics. The patients were also provided with written information materials. Finally, the last item on the agenda was meditation, for example body scan, breathing meditation, imagination journey. These two parts were also carried out or supervised by the MBM therapist (see Table 1). The time slots and contents for these aforementioned components are outlined in Table 1. Weeks 1 and 4 deviated from the standard program schedule due to group forming (week 1) and group cooking (week 4). For detailed information regarding the program schedule for each week and the content of the individual program items, please refer to Raff et al., 2023 (24).

Table 1.

Weekly schedule of day clinic program.

Time (hh:mm) Content
09:45-10:00 Questionnaire (15 minutes)
10:00-10:30 Week review (30 minutes)
10:30-11:15 Naturopathic consult (45 minutes)
11:15-12:15 Exercise therapy (60 minutes)
12:15-13:00 Lunch (45 minutes)
13:00-14:00 Yarrow liver compress (60 minutes)
14:00-15:45 Introduction to Mind-Body Medicine (105 minutes)
15:45-16:15 Meditation (30 minutes)

with time in 24-hour format (hh:mm).

2.4. Outcomes

Main objective of this study was to determine feasibility of prehabilitation during NAT in patients with abdominal or breast tumors. The primary endpoint of feasibility was the patient’s adherence during the day clinic. Adherence was assessed by study personnel and calculated as a ratio of appointments attended out of eight outlined appointments. Attendance was counted if a patient attended at least one of the six program points offered. Secondary endpoints included Patient- and Clinician-Reported Outcomes Measures.

Given the established correlation between heightened mindfulness and diminished pain, fatigue, and psychological distress, the Five-Facet Mindfulness Questionnaire (FFMQ-D) was incorporated as a reliable and valid instrument to assess these focused outcome measures (41, 42). As symptoms and side effects have a significant impact on the QoL of cancer patients, the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire C30 (EORTC QLQ-C30) was included in the study as a reliable and valid instrument (43–45). Due to the prevalence of anxiety and depression in cancer patients, these aspects were assessed using the validated and reliable Patient health questionnaire 4 (PHQ-4) (46–49). Given the high prevalence of sleep disturbances and their relevance to QoL, sleep quality was assessed using the Pittsburgh Sleep quality Index (PSQI) questionnaire, which has been validated and found to be reliable (16, 50–52). Fatigue, a major challenge for cancer patients undergoing therapy and associated with numerous adverse effects, including diminished QoL, was assessed using the validated and reliable Fatigue Numeric Rating Scale (F-NRS) (53–55). As weight loss is common in cancer patients and is associated with survival and treatment outcomes, Body Mass Index (BMI) was obtained (56–58). The 6-Minute Walking Test (6-MWT), a reliable and valid tool, was employed to assess functional capacity, peak VO2, and global health (59, 60). Additionally, the 1-minute sit-to-stand (STS) test, a reliable and valid tool, was used to evaluate exercise capacity and leg strength (61). Handgrip strength (HGS), recognized as an indicator of overall body strength with known associations to survival outcomes and various biological, functional, and QoL factors, was also incorporated into the study as a valid and reliable instrument (62). This value was set in relation to body weight in kilogram for better comparability (HGS/kg).

A total of 13 visits were conducted by the staff during the intervention period, during which time the endpoints were recorded. The post-intervention measurement was scheduled at Visit 10 (week 10), two weeks after the completion of the 8-week program, to allow assessment of both immediate and short-term retention effects of the multimodal prehabilitation intervention. Prior prehabilitation studies have assessed outcomes few weeks after intervention completion rather than immediately at program end to capture sustained effects and reduce short-term fluctuation due to the final session alone (63). The precise schedule for each visit is outlined in Table 2. A protocol-to-publication comparison of the assessed outcomes and variables is presented in Table 3.

Table 2.

Trial visits and documented parameters.

Visit 1 2–9 10a 10b* 11 12 13
Time Screening Week 1–8 of prehabi-litation Post prehabi-litation 1–10 days before surgery Post-operative day 4 Day of discharge Post-operative day 30
Inclusion
 Informed consent X
 Eligibility criteria X
Assessments
 Demographics and baseline clinical data X
 BMI X X X
Questionnaires
 EORTC QLQ-C30 X X X X X
 F-NRS X X X X X X X
 PHQ-4 X X X X
 PSQI X X** X X X
 FFMQ-D X X X X
Physical examination
 6-MWT X X
 HGS/kg X X
 1-minute STS test X X
Assessment of postoperative complications X X X
Intensity of analgesic treatment X X X X
Readmission to hospital X
Reoperation X
Time of stay on intensive care unit X
Duration of hospital stay X
Adherence to neoadjuvant treatment X
Evaluation Day Clinic Satisfaction X

*only if time between end of prehabilitation and surgery >14 days. **every 4 weeks during prehabilitation. ***if the eight day clinic days are completed. With BMI, Body Mass Index; EORTC QLQ-C30, European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire C30; F-NRS, Fatigue Numeric Rating Scale; PHQ-4, Patient Health Questionnaire 4; PSQI, Pittsburgh Sleep Quality Index; FFMQ-D, Five-Facet Mindfulness Questionnaire; 6-MWT, 6-Minute Walking Test; HGS/kg, Handgrip strength/body weight in kilogram; STS, sit-to-stand.

Table 3.

Protocol-to-publication comparison of assessed outcomes and variables.

Outcome Reported in publication Status/explanation
Anthropometric assessment
 Body Mass Index ✓ Reported in the current publication
Questionnaires
 EORTC QLQ-C30 European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire C30 ✓ Reported in the current publication
 Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events – Not available for analysis
 Fatigue Numeric Rating Scale ✓ Reported in the current publication
 Quality of Recovery-15 – Not available for analysis
 Patient Health Questionnaire 4 ✓ Reported in the current publication
 Pittsburgh Sleep Quality Index ✓ Reported in the current publication
 Five-Facet Mindfulness Questionnaire ✓ Reported in the current publication
Physical examination
 6-Minute Walking Test ✓ Reported in the current publication
 Handgrip strength/body weight in kilogram ✓ Reported in the current publication
 1-minute sit-to-stand test ✓ Reported in the current publication
Assessment of postoperative complications
Intensity of analgesic treatment – Not available for analysis
Readmission to hospital – Not available for analysis
Reoperation – Not available for analysis
Time of stay on intensive care unit – Not available for analysis
Duration of hospital stay – Not available for analysis
Adherence to neoadjuvant treatment – Not available for analysis
Evaluation Day Clinic Satisfaction ✓ Reported in the current publication

Furthermore, a satisfaction evaluation questionnaire was administered to patients, querying their level of satisfaction with the day clinic’s implementation, the day clinic in general, and each program component in particular (on a Likert scale from 0 – very satisfied - to 4 - very unsatisfied).

The timeline of the program is shown in Figure 1.

2.5. Sample size

PRIME-DC was a feasibility study with an exploratory approach. Therefore, no formal sample size calculation was performed. The study population was planned as a minimum number of 18 participants and a maximum of 45 patients to fulfill the organizational needs of the group-based program. For details see Raff et al., 2023 (24).

2.6. Data processing

All questionnaires and tests were evaluated for each visit separately in accordance with the methodologies described in the literature and the respective scoring manuals (41, 46, 50, 55, 64).

2.7. Statistical analysis

All statistical analyses were conducted using IBM SPSS Statistics, version 30.0. Prior to inferential testing, the normality assumption was assessed using the Kolmogorov–Smirnov test. Given that a substantial proportion of the outcome variables deviated from normality (32 out of 61), all paired comparisons were performed using the Wilcoxon signed-rank test to ensure a consistent nonparametric analytical approach across outcomes. To evaluate the psychological and physical effects of day clinic treatment, data from Visit 1 (V1) were compared with data from Visit 10a (V10a). Only participants with complete paired data for the respective variable at both Visit 1 (V1) and Visit 10a (V10a) were included in each analysis. Missing values were not imputed. Thus, the number of participants included (n) could vary between variables depending on the availability of paired data. The number of patients included in each analysis is listed in Table 4, 5. These values provide transparency regarding the available data and allow the extent of missing data across assessments to be determined.

Table 4.

Results of the mental health parameters.

Parameter n Visit 1 [median (25th percentile/75th percentile)] Visit 10a [median (25th percentile/75th percentile)] 95% CI p-value Effect size (r)
FFMQ-D
 Nonjudging to inner experience 12 32.00 (28.00/34.00) 32.00 (27.75/37.00) -3.000 – 3.000 0.505 0.19
 Describing 11 32.00 (28.00/35.00) 31.00 (29.00/33.00) -2.500 – 1.000 0.570 0.17
 Observing 10 30.00 (28.00/35.25) 31.00 (27.00/35.25) -2.500 – 1.500 0.394 0.27
 Acting with Awareness 11 29.00 (27.00/35.00) 31.00 (28.00/34.00) -3.000 – 3.000 0.893 0.04
 Nonreactivity to inner experience 11 23.00 (22.00/25.00) 25.00 (21.00/27.00) -2.000 – 3.000 0.635 0.14
 Total 10 147.50 (134.50/160.75) 145.00 (135.75/164.25) -4.000 – 8.000 0.540 0.19
EORTC QLQ-C30
 Global Health status 18 66.67 (50.00/75.00) 50.00 (41.67/66.67 -20.833 – 8.333 0.255 0.27
 Physical functioning 18 90.00 (73.33/100.00) 86.67 (83.33/95.00) -6.667 – 6.667 0.733 0.08
 Role functioning 18 66.67 (33.33/100.00) 66.67 (66.67/83.33) -8.333 – 8.333 0.166 0.33
 Emotional functioning 18 66.67 (41.67/83.33) 66.67 (56.25/85.42) 0.000 – 12.500 0.169 0.32
 Cognitive functioning 18 91.67 (62.50/100.00) 75.00 (66.67/100.00) -8.333 – 16.667 0.721 0.08
 Social functioning 18 83.33 (50.00/100.00) 66.67 50.00(/100.00) -16.667 – 8.333 0.888 0.03
 Fatigue 18 33.33 (19.44/58.33) 33.33 (30.56/44.44) -16.667 – 11.111 0.513 0.15
 Nausea and vomiting 18 0.00 (0.00/20.83) 0.00 (0.00/20.83) -8.333-8.333 0.865 0.04
 Pain 18 33.33 (0.00/50.00) 16.67 (0.00/33.33) -25.000-0.000 0.101 0.39
 Dyspnoe 18 33.33 (0.00/66.67) 33.33 (0.00/66.67) -4.974E-13 – 16.667 0.721 0.08
 Insomnia 18 33.33 (33.33/66.67) 33.33 (33.33/66.67) -4.974E-13 – 16.667 0.759 0.07
 Appetite loss 18 0.00 (0.00/8.33) 0.00 (0.00/33.33) 0.000 – 33.333 0.160 0.33
 Constipation 18 0.00 (0.00/33.33) 0.00 (0.00/33.33) -16.667 – 16.667 0.943 0.02
 Diarrhea 18 16.67 (0.00/75.00) 16.67 (0.00/66.67) -16.667 – 16.667 0.646 0.11
 Financial difficulties 18 0.00 (0.00/33.33) 0.00 (0.00/0.00) -16.667 – 0.000 0.279 0.26
PHQ-4
 PHQ-4 anxiety 17 1.00 (1.00/2.00) 1.00 (0.50/2.00) -0.500 – 0.000 0.102 0.40
 PHQ-4 depression 17 2.00 (0.50/2.00) 2.00 (1.00/2.00) -0.500 – 0.500 1.000 0.00
 PHQ-4 sum score 17 3.00 (1.50/4.00) 2.00 (1.50/4.00) -1.000 – 0.500 0.458 0.18
PSQI
 PSQI sum score 10 9.00 (5.50/10.50) 8.00 (6.75/12.00) -1.500 – 3.000 0.441 0.24
F-NRS
 Fatigue score 18 3.00 (2.00/4.00) 3.00 (2.75/4.00) -0.500 – 1.000 0.336 0.23

with n, number of analyzed cases; EORTC QLQ-C30, European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire C30; F-NRS, Fatigue Numeric Rating Scale; PHQ-4, Patient Health Questionnaire 4; PSQI, Pittsburgh Sleep Quality Index; FFMQ-D, Five-Facet Mindfulness Questionnaire; CI, Confidence Interval.

Table 5.

Results of the physical parameter.

Parameter n Visit 1 [median (25th percentile/75th percentile)] Visit 10a [median (25th percentile/75th percentile)] 95% CI p-value Effect size (r)
Body weight (in kg) 18 73.00 (62.00/97.00) 73.50 (60.75/98.50) -1.000 – 1.000 0.722 0.08
BMI 18 23.30 (22.15/32.85) 24.75 (21.62/33.03) -0.250 – 0.350 0.529 0.15
6-MWT (in m) 19 555.00 (514.54/644.00) 579.00 (555.00/651.00) 2.800 – 42.700 0.15+ 0.50
HGS/kg+ 18 0.50 (0.39/0.61) 0.52 (0.41/0.60) -0.021 – 0.028 0.777 0.07
1-minute STS test (in repetition) 19 26.00 (22.00/34.00) 27.00 (24.99/34.00) 1.000 – 6.000 0.02*,+ 0.66

*p<0.05. + adjusted due to multiple testing, with n, number of analyzed cases; BMI, Body Mass Index; 6-MWT, 6-Minute Walking Test; HGS/kg, Handgrip strength/body weight in kilogram; STS, sit-to-stand; kg, kilogram; m, meter; CI, Confidence Interval.

For each analysis, medians, interquartile ranges (IQR; 25th and 75th percentiles), the 95% confidence interval (CI), the p-value, and the effect size (r) were reported. The 95% CI of the physical and psychological tests was calculated using the Hodges–Lehmann estimator. The exploratory significance level was set at α = 0.05. The effect sizes (ES) were calculated as r=zn, where Z represents the standardized test statistic and n the number of observations included in the analysis. Effect sizes were interpreted according to Cohen’s criteria, with values of 0.10, 0.30, and 0.50 representing small, medium, and large effects, respectively (65). To account for multiple testing, p-values for statistically significant findings were re-evaluated. Where the significance status changed following adjustment, this has been clearly indicated in the results section and interpreted accordingly.

Adherence was calculated using a denominator of eight scheduled appointments for all participants. Missed appointments were recorded as missed and were not rescheduled. For participants who dropped out of the study, all scheduled appointments following withdrawal were classified as missed. The 95% CI of adherence was determined using the Clopper-Pearson method.

3. Results

Patient enrollment and characteristics: Between 09th March 2022 and 24th September 2023, 41 patients were screened for eligibility. Twenty-three patients participated in the study, whereas 17 declined to participate or were ineligible and one couldn’t be contacted because of incorrect address information. The reasons for declining participation or ineligibility included time commitment (n=4), travel distance (n=4), no surgery or already finished (n=2) or no NAT (n=2), language barriers (n=1), lack of transportation options (n=1), concurrent participation in another study and unwillingness to participate in an additional study (n=1), and no specific reason provided (n=2). 19 patients successfully completed the study. These patients are defined as those who participated in the whole interventional period without dropping out or withdrawing, and who attended the final visit. For the patient flow-chart see Figure 2.

Figure 2.

Flowchart illustrating patient enrollment, intervention, and analysis in a prehabilitation study: 41 assessed for eligibility, 18 excluded, 23 provided consent andcompleted 8 weeks, 4 lost to follow-up, and 19 completed prehabilitation and were analyzed.

Flow chart, Process from patient enrollment to analysis; n, number of patients.

3.1. Feasibility

Fourteen of 23 participants attended at least six of the eight appointments (60.9%, 95% CI = 61%–95%). Therefore, the objective outlined in the study protocol, which was to have 80% of participants complete six of eight appointments, was not met. Five more participants attended fewer than six of the eight sessions, but completed the intervention. Thus, 19 of across all enrolled participants (n = 23) completed the study. The average session attendance for all enrolled participants (n = 23) was 5.65 ± 2.01, while the average attendance for completers (n = 19) was 6.26 ± 1.49. This results in an average session attendance rate of 69%.

The process of recruitment proved to be challenging due to the temporal aspect of the situation. The patient had recently received a diagnosis, and the associated side effects were prevalent during this period. Additionally, the individual had numerous other appointments scheduled prior to undergoing surgery. The reasons for withdrawal or missed sessions also include other appointments due to treatment, side effects, tumor progression, and the time required to participate. Regarding outcome completion, the number of analyzed cases (n) for each outcome and assessment time point is reported in Table 4, 5. No study-related adverse events were observed during the implementation of the program. Exercise sessions were individually adapted to participants’ physical limitations, including restrictions related to ports, injuries, or weakness.

Descriptive data of all participants are outlined in Table 6.

Table 6.

Patient demographics and cancer types of (a) the total number (n=23) and (b) the completers (n=19).

a. b.
Characteristics Value (n, %) Characteristics Value (n, %)
Number of Patients 23 (100) Number of Patients 19 (100)
Sex Sex
 Male 3 (13.0) Male 3 (15.79)
 Female 20 (87.0) Female 16 (84.21)
Age in years (± standard deviation) 51,35 (± 13.15) Age in years (± standard deviation) 49.35 (± 12.83)
Cancer Types Cancer Types
 Breast carcinoma 17 (73.9) Breast carcinoma 15 (78.95)
 Gastric carcinoma 1 (4.3) Gastric carcinoma 1 (5.26)
 Pancreatic carcinoma 1 (4.3) Pancreatic carcinoma 1 (5.26)
 Rectal carcinoma 4 (17.4) Rectal carcinoma 2 (10.53)
Therapies Therapies
 Chemotherapy 22 (95.65) Chemotherapy 19 (100)
 Immunotherapy 11 (47.83) Immunotherapy 11 (57.89)
 Radiotherapy 3 (13.04) Radiotherapy 2 (10.53)

with n, number of patients and %, in percentage.

3.2. Patient-related outcome measures

The majority of patient-related outcome measures demonstrated no statistically detectable within-group changes, or even positive trends, during the prehabilitative IO day clinic, as indicated by mindfulness (FFMQ-D), QoL (EORTC QLQ-C30), anxiety and depression (PHQ-4) or sleep quality (PSQI). Some measures showed a non-significant decline, including global health status, insomnia and fatigue (F-NRS). All results of the mentioned questionnaires are outlined in Table 4.

3.3. Physical fitness

The HGS/kg showed no statistically detectable within-group changes during the intervention period. Although a moderate effect size was observed for the 6-MWT, the corresponding comparison was no longer statistically significant after adjustment for multiple testing. An exploratory significant within-group improvement in the 1-minute STS test (V1: 26.00 (22.00/34.00), V10a: 27.00 (24.99/34.00), 95% CI = 1.000 – 6.000, p = 0.02, r = 0.66) was observed. The results of the physical parameters are illustrated in the Table 5.

3.4. BMI

A comparison of the pre-intervention and post-intervention periods revealed no statistically significant difference in BMI among the patients (V1: 23.30 (22.15/32.85) kg/m², V10a: 24.75 (21.62/33.03) kg/m², 95% CI = -0.250 – 0.350, p = 0.529, r = 0.15), contradicting the anticipated decline during NAT.

3.5. Satisfaction

Among the 23 subjects enrolled in the study, the evaluation questionnaire was administered only to those who had completed the intervention (n = 19), as the remaining participants declined to participate in subsequent visits. Of the 19 patients who participated in the study, 16 completed the questionnaire and were included in the analysis. However, it should be noted that not all respondents answered every questionnaire item. The mean values and standard deviations for the individual questionnaire items are reported in Table 7. Table 8 presents the frequency distribution of responses for each questionnaire item, based on the number of valid responses available for that item. The corresponding numbers of complete responses are also provided in Table 8. The feedback from the satisfaction questionnaire was consistently positive. Both the program and the organization were highly rated, and the participants were very satisfied. There were a few requests for more dates to be organized.

Table 7.

Results of the Satisfaction Questionnaire of the Integrative Medicine Research Group Ulm on a Likert scale from 0 = very satisfied to 6 = very unsatisfied.

Questions mean (± sd)
1. How satisfied were you with the registration process at the PRIME Day Clinic? 0,00 ± 0,00
2. How did you like the premises and facilities of the PRIME Day Clinic? 1,88 ± 1,09
3. How did you find the cleanliness at the PRIME Day Clinic? 1,13 ± 0,96
4. How would you rate the friendliness of the staff? 0,00 ± 0,00
5. How satisfied were you with the content of the PRIME Day Clinic program? 0,06 ± 0,25
6. How satisfied were you with the number of appointments at the PRIME Day Clinic? 0,31 ± 0,48
7. How satisfied were you with the scope of the weekly program at the PRIME Day Clinic? 0,13 ± 0,35
8. How pleasant was the atmosphere at the PRIME Day Clinic? 0,06 ± 0,25
9. How would you assess the benefit of participating in the PRIME Day Clinic? 0,13 ± 0,34
10. How satisfied were you with the weekly review at the PRIME Day Clinic? 0,00 ± 0,00
11. How satisfied were you with the integrative medical/naturopathic counseling program at the PRIME Day Clinic? 0,19 ± 0,54
12. How satisfied were you with the exercise program at the PRIME Day Clinic? 0,13 ± 0,34
13. How satisfied were you with the yarrow-liver compress at the PRIME Day Clinic? 0,00 ± 0,00
14. How satisfied were you with the mindfulness and relaxation program at the PRIME Day Clinic? 0,13 ± 0,34
15. How satisfied were you with the nutrition counseling/cooking sessions at the PRIME Day Clinic? 0,57 ± 0,85
16. How satisfied were you with the mindfulness day at the PRIME Day Clinic? 0,14 ± 0,36
17. How satisfied were you overall with the PRIME Day Clinic? 0,00 ± 0,00

with sd, standard deviation; PRIME, PRehabilitation Integrative Medicine; 0.00 ± 0.00 indicates complete agreement among participants.

The values shown were recorded after completion of the prehabilitation program.

Table 8.

Frequency distribution of responses to the Satisfaction Questionnaire.

Number of responses Frequency score 0 (%) Frequency score 1 (%) Frequency score 2 (%) Frequency score 3 (%) Frequency score 4 (%)
Question 1 16 100.0 0.0 0.0 0.0 0.0
Question 2 16 18.8 6.3 43.8 31.3 0.0
Question 3 16 31.3 31.3 31.3 6.3 0.0
Question 4 16 100.0 0.0 0.0 0.0 0.0
Question 5 16 93.8 6.3 0.0 0.0 0.0
Question 6 16 68.8 31.3 0.0 0.0 0.0
Question 7 15 86.7 13.3 0.0 0.0 0.0
Question 8 16 93.8 6.3 0.0 0.0 0.0
Question 9 16 87.5 12.5 0.0 0.0 0.0
Question 10 16 100.0 0.0 0.0 0.0 0.0
Question 11 16 87.5 6.3 6.3 0.0 0.0
Question 12 16 87.5 12.5 0.0 0.0 0.0
Question 13 16 100.0 0.0 0.0 0.0 0.0
Question 14 16 87.5 12.5 0.0 0.0 0.0
Question 15 14 64.3 14.3 21.4 0.0 0.0
Question 16 14 85.7 14.3 0.0 0.0 0.0
Question 17 15 100.0 0.0 0.0 0.0 0.0

The reported frequencies refer to the number of completed responses for each question. The numbering of question refers to Table 7.

4. Discussion

In this single-center feasibility trial, 23 patients with breast or intraabdominal tumors participated in an 8-week multimodal IO prehabilitation program before, during, or shortly after NAT. The intervention demonstrated high adherence (mean attendance 69%) and 60.9% met the predefined feasibility criteria, with no statistically detectable within-group changes in physical or mental health parameters, and a statistically significant within-group improvement in lower limb functional performance, as assessed by the 1-minute STS test, representing an exploratory finding of this feasibility study. In a setting where declines in health-related QoL and physical fitness are typically observed during NAT, this pattern of non-significant within-group effects and selective improvement is clinically reassuring and aligns with contemporary evidence that multimodal prehabilitation can mitigate functional deterioration during treatment.

Regarding the primary outcome feasibility, 14 of 23 participants completed at least 6 of the 8 predefined intervention sessions, which was the prospectively defined adherence threshold for this study. Although the predefined target of 80% of participants reaching this threshold was not achieved, the findings provide important insights into the practical challenges of implementing a multimodal prehabilitation program during NAT. Reported adherence rates in oncologic prehabilitation programs generally range between 55% and 76%, with higher adherence observed in multimodal interventions that combine exercise, nutritional support and psychological care (15). The mean adherence rate of almost 70% in this study is therefore comparable to those reported in previous multimodal and telehealth-based prehabilitation programs, including findings from systematic reviews of multimodal prehabilitation during NAT (14, 15, 38). Reasons for incomplete adherence included treatment-related factors such as adverse effects, the timing of the intervention within the treatment course, and the required time for participation, as well as competing medical appointments. The aforementioned points also contribute to the challenges associated with the recruitment process. Nevertheless, the results suggest that the program is generally feasible to implement in this patient population while highlighting specific barriers that should be addressed in future studies. The importance of considering comorbidities and daily routines to improve adherence has also been highlighted in implementation research on digital interventions in cancer care (66). Apart from adapting the intervention to patients’ individual physical limitations, no specific safety concerns regarding program implementation were identified. Along with the high satisfaction scores and the absence of study-related adverse events, these findings support the feasibility and acceptability of an IO day-clinic model for prehabilitation in routine cancer care, while acknowledging that the sample size and design are not sufficient to draw firm conclusions about efficacy. The present results align with those of a recent systematic review by Chen et al. (2024), which revealed that prehabilitation for patients undergoing NAT prior to cancer resection is feasible and associated with treatment completion, although the certainty of the evidence is low to moderate (17). In evaluating the feasibility of implementing the program, particular attention must be given to resource requirements, including time, personnel, and organizational effort. Recent implementation-focused studies emphasize that successful integration of prehabilitation into oncologic care depends on several factors. A national survey in gastrointestinal oncology demonstrated that, despite high perceived utility and satisfaction with multimodal prehabilitation programs, implementation remains heterogeneous and is frequently limited by insufficient human resources, coordination challenges, and funding. Similarly, qualitative evaluations of patients with ovarian cancer showed that multimodal prehabilitation is generally well accepted. These evaluations also highlighted the importance of individualized communication, accessibility of healthcare professionals, the amount and timing of information, and including the patient’s social network in discussions as key facilitators of engagement and adherence (67). These findings are further supported by implementation research from adjacent rehabilitation fields, including telemedicine and telerehabilitation in non-oncologic populations (66, 68, 69). Although these studies are not directly comparable to oncologic prehabilitation, they provide valuable insights into cross-cutting determinants of successful implementation, including patient engagement, organizational factors, and adherence. In our study the daily operation of the clinic requires approximately 30 minutes of preparation and an additional 60 minutes for post-session cleaning, representing a moderate but predictable time investment. In week 4, when meals were prepared on site, both pre- and post-session workload increased, requiring additional preparation and follow-up time compared to the other intervention days. In terms of personnel, the program depended on a multidisciplinary team consisting of a physician, a nurse, an MBM therapist, and a sports scientist. From an organizational perspective, the structured nature of the program proved advantageous, as core components were predefined, resulting in minimal preparation time for staff. In addition, the staff were already sufficiently trained, and only minimal additional preparation time was necessary, suggesting that implementation does not impose substantial training demands before the different sessions. As the amount of missing data in this study was quite high, future studies should consider allocating personnel resources to supervise questionnaire completion, answer participants’ questions, remind them to complete all items, and review questionnaires for completeness immediately after completion. This may help reduce missing data and improve data quality. To comprehensively address the question of resource utilization, future analyses should also consider additional factors such as cost-effectiveness, scalability of the program, and potential constraints in routine clinical practice.

Furthermore, we would like to discuss the secondary outcomes in an exploratory manner. Existing unimodal and multimodal prehabilitation programs for cancer patients rarely include complementary therapies, and the integration of naturopathy remains particularly uncommon (70–72), so functional outcomes such as walking capacity are frequently used to evaluate effectiveness of prehabilitation interventions. With regard to functional capacity, findings on the 6-MWT are heterogeneous. A postoperative improvement of 14 m (73) is considered the minimal clinically important difference in a population undergoing abdominal surgery, with other studies defining this threshold as 20 m. Several randomized prehabilitation trials including studies by Gillis et al. (2014), Bousquet-Dion et al. (2018), and Carli et al. (2020) (74–76), as well as the home-based intervention by Brahmbhatt et al. (2020) (77) report improvements exceeding 20 m, indicating clinically relevant gains in 6-MWT distance. A comparison of the control group with the prehabilitation group demonstrates higher rates of clinically meaningful improvement in favor of prehabilitation. This finding is reinforced by a Cochrane meta-analysis by Molenaar et al. (2023) reporting a pooled preoperative improvement of the prehabilitation group by 24.91 m (95% CI = 11.24–38.57), consistent with a clinically relevant effect (71). In the present study, a non-significant but clinically relevant improvement of 29 m was observed. In addition, no changes in hand grip strength were identified within the present cohort or in the reported study (77). Hand grip strength has been associated with overall survival and other clinical and functional outcomes (62). Another important outcome parameter is fatigue. Fatigue is widely regarded as a pivotal metric in formulating assertions concerning persistent fatigue following treatment (78). In the present study, no difference in fatigue was observed between the two assessment timepoints, which contrasts with findings from other studies reporting significant differences (14, 79, 80). One possible explanation for this discrepancy is the smaller sample size in our study and the use of more differentiated questionnaires in previous work. Those studies applied the Functional Assessment of Chronic Illness Therapy (FACIT)-Fatigue Scale and the Multidimensional Fatigue Inventory (MFI), which include more items than our instrument. However, our results are consistent with those of Haller et al. (2021) (31). A key difference between studies reporting significant effects and both our study and that of Haller et al. (2021) (31) lies in the treatment context: in Wu et al. (2021), only 11% of patients received chemotherapy or radiotherapy (14), and in Schricker et al. (2025) not all patients underwent chemotherapy or surgery (79). In contrast, all patients in our study received chemotherapy, with some additionally receiving immunotherapy or radiotherapy before surgery; similarly, all patients in the study by Haller et al. received chemotherapy (31). In the context of this feasibility trial, the absence of significant changes could indicate that patients’ functional status and fatigue remained stable during the intervention period. However, the limited sample size precludes firm conclusions and warrants cautious interpretation. Another outcome parameter of this study was BMI. BMI has been shown to be associated with pathophysiological changes related to the tumor, including altered inflammatory and metabolic signaling, adipokine-driven tumorigenesis, and immune- and metabolism-related molecular signatures in multiple cancer types (81–83), and may also influences breast cancer patient’s QoL with higher BMI linked to worse QoL and slower QoL recovery in breast cancer patients undergoing radiotherapy (84). Conversely, anxiety, depression, fatigue and pain have been associated with weight loss and malnutrition (85). Notably, this study observed no change in BMI, which aligns with the findings of Wu et al. (2021) (14).

The most pronounced functional change was observed in the 1-minute STS test, which is a reliable measure of lower-limb strength and exercise capacity (61). Participants completed significantly more repetitions over the 8-week period, representing an exploratory within-group improvement in lower limb functional performance despite ongoing or recent NAT. This may indicate a clinically relevant benefit, as functional capacity is a key determinant of postoperative outcomes and overall QoL in oncologic patients (86, 87). Although cancer-specific minimal clinically important differences for the 1-minute STS test have not yet been established, thresholds of approximately 2–3 repetitions have been suggested in other clinical populations (88); the magnitude of change observed here therefore appears likely to be meaningful, albeit this interpretation should be made with caution.

Previous work suggests that exercise-focused prehabilitation without psychological support may not substantially change health-related QoL (77), highlighting the need for additional mind–body or psychosocial interventions (89). As this study is based on MBM, modules containing such content were integrated into the multimodal program, yet no significant changes were detected in QoL, mindfulness, sleep, anxiety or depression scores. One possible explanation is that MBM modules were delivered with less intensity and volume than in dedicated MBM group programs that have reported larger psychosocial benefits (31, 79, 90). Nevertheless, the fact that these parameters showed no statistically detectable within-group changes during NAT, a period during which deterioration is often expected, may be considered a favorable observation and could suggest that the intervention has the potential to help prevent typical declines in psychological well-being. However, this interpretation should be made with caution given the small sample size and requires confirmation in larger, controlled studies (31, 91, 92).

Overall, meta-analyses suggest that unimodal and multimodal prehabilitation may reduce intensive care unit length of stay by approximately 0.57 days (28% reduction), although effects on total hospital length of stay and 30-day postoperative complications remain inconsistent (93). Beyond clinical outcomes, qualitative studies have consistently shown that patients value integrative, expert-guided multimodal approaches combining exercise, nutritional counseling, and psychological support rather than isolated interventions (77, 94–96). The present IO day-clinic model aligns with these patient-centered principles by providing structured multidisciplinary support within routine oncologic care pathways and may represent a feasible framework for integrating comprehensive supportive care during cancer treatment. Recent evidence from multimodal prehabilitation trials, including the PREHAB randomized clinical trial and studies evaluating prehabilitation during NAT, further supports the potential value of structured multimodal approaches to preserve functional capacity and improve postoperative recovery (17, 71). However, further comparative and health economic studies are needed to evaluate the effectiveness of the intervention and its impact on cancer-specific outcomes. This will help to improve its transferability into clinical practice (63, 97–99).

It is important to note that the analysis was performed among study completers only, and this aspect should be considered when interpreting the findings. Possible limitations of this study include its single-center design, which may limit the generalizability of the findings to other clinical settings. Since most of the patients in the study were women with breast cancer, the results may not be representative of all tumor and surgical populations. This reflects a common challenge in studies evaluating prehabilitation in patients undergoing NAT, where breast cancer cohorts are frequently overrepresented (100). In addition, selection bias cannot be excluded, as participation may have been influenced by patient motivation and clinical eligibility for a multimodal prehabilitation program. Further limitations comprise the small sample size, the heterogeneity of tumor entities and treatment regimens, the lack of a randomized control group, and the absence of post-surgical outcome analyses. However, several strengths should also be acknowledged. The study was conducted in a real-world clinical setting, reflecting routine care conditions. Furthermore, the intervention was delivered by a structured interdisciplinary team and followed a standardized multimodal protocol, which enhances the internal consistency and reproducibility of the program. As a feasibility study, these characteristics provide valuable insights into the implementation, adherence, and acceptability of a multimodal IO prehabilitation program across a diverse oncologic population. Future studies should incorporate more detailed process evaluations, including adherence to the individual intervention components, comprehensive treatment-related information (e.g., timing and number of NAT cycles), surgical details, documentation of protocol deviations, and data on how the intervention was implemented in the home setting. Such information would facilitate a more comprehensive evaluation of intervention fidelity and help identify factors influencing adherence and outcomes. Overall the findings lay an important foundation for future randomized controlled trials with larger sample sizes to evaluate clinical efficacy, perioperative outcomes, and cost-effectiveness of such interventions.

This feasibility study demonstrates that a multimodal IO day-clinic prehabilitation program can be implemented during NAT in a real-world oncologic setting, with acceptable recruitment, high adherence, and patient satisfaction. The findings indicate that maintaining physical and psychological health during this intensive treatment period may be achievable; however, these observations should be interpreted as preliminary and require confirmation in larger controlled studies. The study also identified relevant implementation challenges, including treatment-related side effects, competing medical appointments, and organizational barriers that may affect participation. Future research should therefore focus on optimizing intervention delivery, evaluating implementation strategies, and assessing resource requirements, while larger randomized studies are needed to determine the clinical efficacy, perioperative effects, and cost-effectiveness of integrative prehabilitation programs. Future studies should carefully consider these identified limitations and implementation challenges to optimize study design, improve feasibility and adherence, strengthen the evidence base, and enable more robust conclusions regarding the clinical impact and integration of integrative prehabilitation into standard oncologic care pathways.

Acknowledgments

The authors would like to thank all members of the study team, including study coordinator Jessica Schwend, study nurse Waltraud Kmietschak, and medical documentarist Meryem Güler, as well as the patients who participated in this study.

Funding Statement

The author(s) declared that financial support was not received for this work and/or its publication.

Footnotes

Edited by: Julio de la Torre, Comillas Pontifical University, Spain

Reviewed by: Valentina Micheluzzi, University Hospital, Sassari, Italy

Kristy-Lee Raso, The University of Sydney, Australia

Data availability statement

The datasets presented in this article are not readily available because of e.g. ethical restrictions. Requests to access the datasets should be directed to svenja.klaus-karwisch@uniklinik-ulm.de.

Ethics statement

The study was conducted in accordance with the Declaration of Helsinki and approved by the Institutional Review Board (Ethics Committee) of Ulm University (protocol code 77/22, date of approval: 23th March 2022).

Author contributions

SK-K: Writing – original draft, Investigation, Writing – review & editing, Data curation, Methodology, Formal analysis, Project administration, Visualization. SO: Writing – review & editing, Investigation, Conceptualization, Project administration, Methodology. PW: Writing – review & editing. A-KL: Writing – review & editing. AM: Writing – review & editing. FT: Writing – review & editing. LC: Writing – review & editing, Formal analysis. KL: Writing – review & editing, Formal analysis. BM: Writing – review & editing. KK: Methodology, Conceptualization, Supervision, Writing – review & editing, Funding acquisition.

Conflict of interest

The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declared that generative AI was used in the creation of this manuscript. During the preparation of this work the authors used ChatGPT (OpenAI, San Francisco, CA, USA) and DeepL Write (DeepL SE, Cologne, Germany) in order to assist with language editing. After using these tools, the authors reviewed and edited the content as needed and take full responsibility for the content of the published article.

Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

  • 1. Qari AS, Mowais AH, Alharbi SM, Almuayrifi MJ, Al Asiri AA, Alwatid SA, et al. Adjuvant and neoadjuvant therapy for breast cancer: A systematic review. Eur J Breast Health. (2024) 20:156–66. doi:  10.4274/ejbh.galenos.2024.2023-12-16 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. Pan L, Fang J, Tong C, Chen M, Zhang B, Juengpanich S, et al. Survival benefits of neoadjuvant chemo(radio)therapy versus surgery first in patients with resectable or borderline resectable pancreatic cancer: A systematic review and meta-analysis. World J Surg Oncol. (2020) 18:1. doi:  10.1186/s12957-019-1767-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Su PF, Yu JC. Progress in neoadjuvant therapy for gastric cancer (Review). Oncol Lett. (2022) 23:172. doi:  10.3892/ol.2022.13292 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Rayner CJ, Bartlett DB, Allen SK, Wooldridge T, Seymour T, Sunshine S, et al. Prehabilitation during neoadjuvant chemotherapy results in an enhanced immune response in esophageal adenocarcinoma tumors: A randomized controlled trial. J Sport Health Sci. (2025) 14:101063. doi:  10.1016/j.jshs.2025.101063 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Zheng S, Li L, Chen M, Yang B, Chen J, Liu G, et al. Benefits of neoadjuvant therapy compared with adjuvant chemotherapy for the survival of patients with HER2-positive breast cancer: A retrospective cohort study at FUSCC. Breast. (2022) 63:177–86. doi:  10.1016/j.breast.2022.03.015 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Zhao Y, Chen L, Zheng X, Shi Y. Quality of life in patients with breast cancer with neoadjuvant chemotherapy: A systematic review. BMJ Open. (2022) 12:e061967. doi:  10.1136/bmjopen-2022-061967 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Holmén A, Jebril W, Ida S, Agustsson T, Lampi M, Rouvelas I, et al. Effects of neoadjuvant therapy on health-related quality of life for patients with gastroesophageal cancer. Eur J Surg Oncol. (2023) 49:107008. doi:  10.1016/j.ejso.2023.107008 [DOI] [PubMed] [Google Scholar]
  • 8. Loughney L, West MA, Moyses H, Bates A, Kemp GJ, Hawkins L, et al. The effects of neoadjuvant chemoradiotherapy and an in-hospital exercise training programme on physical fitness and quality of life in locally advanced rectal cancer patients: A randomised controlled trial (The EMPOWER Trial). Perioper Med. (2021) 10:23. doi:  10.1186/s13741-021-00190-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Tevis S, Kennedy G. Postoperative complications: Looking forward to a safer future. Clin Colon Rectal Surg. (2016) 29:246–52. doi:  10.1055/s-0036-1584501 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Stout NL, Fu JB, Silver JK. Prehabilitation is the gateway to better functional outcomes for individuals with cancer. J Cancer Rehabil. (2021) 4:283–6. doi:  10.48252/JCR45 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Santa Mina D, van Rooijen SJ, Minnella EM, Alibhai SMH, Brahmbhatt P, Dalton SO, et al. Multiphasic prehabilitation across the cancer continuum: A narrative review and conceptual framework. Front Oncol. (2021) 10:598425. doi:  10.3389/fonc.2020.598425 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Allen SK, Brown V, White D, King D, Hunt J, Wainwright J, et al. Multimodal prehabilitation during neoadjuvant therapy prior to esophagogastric cancer resection: Effect on cardiopulmonary exercise test performance, muscle mass and quality of life—A pilot randomized clinical trial. Ann Surg Oncol. (2022) 29:1839–50. doi:  10.1245/s10434-021-11002-0 [DOI] [PubMed] [Google Scholar]
  • 13. Barman S, Russell B, Walker RC, Knight W, Baker C, Kelly M, et al. The impact of prehabilitation on patient outcomes in oesophagogastric cancer surgery: Combined data from four prospective clinical trials performed across the UK and Ireland. Cancers. (2025) 17:1836. doi:  10.3390/cancers17111836 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Wu F, Rotimi O, Laza-Cagigas R, Rampal T. The feasibility and effects of a telehealth-delivered home-based prehabilitation program for cancer patients during the pandemic. Curr Oncol. (2021) 28:2248–59. doi:  10.3390/curroncol28030207 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Ikeda T, Toyama S, Harada T, Noma K, Hamada M, Kitagawa T. Effectiveness of prehabilitation during neoadjuvant therapy for patients with esophageal or gastroesophageal junction cancer: A systematic review. Esophagus Off J Jpn Esophageal Soc. (2024) 21:283–97. doi:  10.1007/s10388-024-01049-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Chen MY, Zheng WY, Liu YF, Li XH, Lam MI, Su Z, et al. Global prevalence of poor sleep quality in cancer patients: A systematic review and meta-analysis. Gen Hosp Psychiatry. (2024) 87:92–102. doi:  10.1016/j.genhosppsych.2023.12.004 [DOI] [PubMed] [Google Scholar]
  • 17. Chen Y, Sebio-García R, Iglesias-Garcia E, Reguart N, Martinez-Palli G, Bello I. Prehabilitation for patients undergoing neoadjuvant therapy prior to cancer resection: A systematic review and meta-analysis. Support Care Cancer. (2024) 32:749. doi:  10.1007/s00520-024-08941-1 [DOI] [PubMed] [Google Scholar]
  • 18. Ring M, Mahadevan R. Introduction to integrative medicine in the primary care setting. Prim Care Clin Off Pract. (2017) 44:203–15. doi:  10.1016/j.pop.2017.02.006 [DOI] [PubMed] [Google Scholar]
  • 19. Brown LA, Wiley JF, Wolitzky-Taylor K, Roy-Byrne P, Sherbourne C, Stein MB, et al. Changes in self-efficacy and outcome expectancy as predictors of anxiety outcomes from the CALM study: Research article: Self-efficacy and outcome expectancy. Depress Anxiety. (2014) 31:678–89. doi:  10.1002/da.22256 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Gowin K, Muminovic M, Zick SM, Lee RT, Lacchetti C, Mehta A. Integrative therapies in cancer care: An update on the guidelines. Am Soc Clin Oncol Educ Book. (2024) 44:e431554. doi:  10.1200/EDBK_431554 [DOI] [PubMed] [Google Scholar]
  • 21. Atreya CE, Leach H, Asiimwe E, Bahri N, Le BK, Macaire G, et al. Integrative oncology: Incorporating evidence-based approaches for patients with GI cancers. Am Soc Clin Oncol Educ Book. (2025) 45:e471734. doi:  10.1200/EDBK-25-471734 [DOI] [PubMed] [Google Scholar]
  • 22. Rombey T, Eckhardt H, Kiselev J, Silzle J, Mathes T, Quentin W. Cost-effectiveness of prehabilitation prior to elective surgery: A systematic review of economic evaluations. BMC Med. (2023) 21:265. doi:  10.1186/s12916-023-02977-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Crevenna R, Palma S, Licht T. Cancer prehabilitation—a short review. Memo - Mag Eur Med Oncol. (2021) 14:39–43. doi:  10.1007/s12254-021-00686-530311153 [DOI] [Google Scholar]
  • 24. Raff C, Dörr-Harim C, Otto S, Thiele J, Mihaljevic A, Kramer K. Prehabilitation in an integrative medicine day clinic for patients undergoing neoadjuvant treatment: Single-center feasibility pilot study. JMIR Res Protoc. (2023) 12:e46765. doi:  10.2196/46765 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. Liou KT, Ashare R, Worster B, Jones KF, Yeager KA, Acevedo AM, et al. SIO-ASCO guideline on integrative medicine for cancer pain management: Implications for racial and ethnic pain disparities. JNCI Cancer Spectr. (2023) 7:pkad042. doi:  10.1093/jncics/pkad042 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. Carlson LE, Ismaila N, Addington EL, Asher GN, Atreya C, Balneaves LG, et al. Integrative oncology care of symptoms of anxiety and depression in adults with cancer: Society for Integrative Oncology–ASCO guideline. J Clin Oncol. (2023) 41:4562–91. doi:  10.1200/JCO.23.00857 [DOI] [PubMed] [Google Scholar]
  • 27. Mustian K, Lacchetti C, Zick S, Bower JE. Management of fatigue in adult survivors of cancer: American Society of Clinical Oncology - Society for Integrative Oncology (ASCO-SIO) guideline update clinical insights. JCO Oncol Pract. (2024) 20:1575–9. doi:  10.1200/OP.24.00372 [DOI] [PubMed] [Google Scholar]
  • 28. Voiss P, Höxtermann MD, Dobos G, Cramer H. Cancer, sleep problems, and mind‐body medicine use: Results of the 2017 National Health Interview Survey. Cancer. (2019) 125:4490–7. doi:  10.1002/cncr.32469 [DOI] [PubMed] [Google Scholar]
  • 29. Paul A, Cramer H, Lauche R, Altner N, Langhorst J, Dobos GJ. An oncology mind-body medicine day care clinic: Concept and case presentation. Integr Cancer Ther. (2013) 12:503–7. doi:  10.1177/1534735412473639 [DOI] [PubMed] [Google Scholar]
  • 30. Dobos G, Overhamm T, Büssing A, Ostermann T, Langhorst J, Kümmel S, et al. Integrating mindfulness in supportive cancer care: A cohort study on a mindfulness-based day care clinic for cancer survivors. Support Care Cancer. (2015) 23:2945–55. doi:  10.1007/s00520-015-2660-6 [DOI] [PubMed] [Google Scholar]
  • 31. Haller H, Choi KE, Lange S, Kümmel S, Paul A, Cramer H, et al. Effects of an integrative mind-body-medicine group program on breast cancer patients during chemotherapy: An observational study. Curr Pharm Des. (2021) 27:1112–20. doi:  10.2174/1381612826666201211111122 [DOI] [PubMed] [Google Scholar]
  • 32. Chan CL, Taljaard M, Lancaster GA, Brehaut JC, Eldridge SM. Pilot and feasibility studies for pragmatic trials have unique considerations and areas of uncertainty. J Clin Epidemiol. (2021) 138:102–14. doi:  10.1016/j.jclinepi.2021.06.029 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33. Hopewell S, Chan AW, Collins GS, Hróbjartsson A, Moher D, Schulz KF, et al. CONSORT 2025 explanation and elaboration: Updated guideline for reporting randomised trials. BMJ. (2025) 389:e081124. doi:  10.1136/bmj-2024-081124 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Eldridge SM, Chan CL, Campbell MJ, Bond CM, Hopewell S, Thabane L, et al. CONSORT 2010 statement: Extension to randomised pilot and feasibility trials. BMJ. (2016) 355:i5239. doi:  10.1136/bmj.i5239 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35. Hoffmann TC, Glasziou PP, Boutron I, Milne R, Perera R, Moher D, et al. Better reporting of interventions: Template for intervention description and replication (TIDieR) checklist and guide. BMJ. (2014) 348:g1687–7. doi:  10.1136/bmj.g1687 [DOI] [PubMed] [Google Scholar]
  • 36. Dobos G. Das essener modell der integrativen onkologie. Z Fr Komplementärmedizin. (2016) 08:12–9. doi:  10.1055/s-0036-15819973785596 [DOI] [Google Scholar]
  • 37. Campbell KL, Winters-Stone KM, Wiskemann J, May AM, Schwartz AL, Courneya KS, et al. Exercise guidelines for cancer survivors: Consensus statement from international multidisciplinary roundtable. Med Sci Sports Exerc. (2019) 51:2375–90. doi:  10.1249/MSS.0000000000002116 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38. Michael CM, Lehrer EJ, Schmitz KH, Zaorsky NG. Prehabilitation exercise therapy for cancer: A systematic review and meta‐analysis. Cancer Med. (2021) 10:4195–205. doi:  10.1002/cam4.4021 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39. Ghadjar P, Stritter W, Von Mackensen I, Mehrhof F, Foucré C, Ehrhardt VH, et al. External application of liver compresses to reduce fatigue in patients with metastatic cancer undergoing radiation therapy, a randomized clinical trial. Radiat Oncol. (2021) 16:76. doi:  10.1186/s13014-021-01757-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40. Foucré C, Schulz S, Stritter W, Von Mackensen I, Luchte J, Ivaki P, et al. Randomized pilot trial using external yarrow liver compress applications with metastatic cancer patients suffering from fatigue: Evaluation of sympathetic modulation by heart rate variability analysis. Integr Cancer Ther. (2022) 21:15347354221081253. doi:  10.1177/15347354221081253 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41. Michalak J, Zarbock G, Drews M, Otto D, Mertens D, Ströhle G, et al. Erfassung von Achtsamkeit mit der deutschen Version des Five Facet Mindfulness Questionnaires (FFMQ-D). Z Fr Gesundheitspsychologie. (2016) 24:1–12. doi:  10.1026/0943-8149/a00014933157507 [DOI] [Google Scholar]
  • 42. Zimmaro LA, Carson JW, Olsen MK, Sanders LL, Keefe FJ, Porter LS. Greater mindfulness associated with lower pain, fatigue, and psychological distress in women with metastatic breast cancer. Psychooncology. (2020) 29:263–72. doi:  10.1002/pon.5223 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43. Aaronson NK, Ahmedzai S, Bergman B, Bullinger M, Cull A, Duez NJ, et al. The European Organization for Research and Treatment of Cancer QLQ-C30: A quality-of-life instrument for use in international clinical trials in oncology. J Natl Cancer Inst. (1993) 85:365–76. doi:  10.1093/jnci/85.5.365 [DOI] [PubMed] [Google Scholar]
  • 44. Sprangers MAG, Cull A, Groenvold M, Bjordal K, Blazeby J, Aaronson NK. The European Organization for Research and Treatment of Cancer approach to developing questionnaire modules: An update and overview. Qual Life Res. (1998) 7:291–300. doi:  10.1023/A:1024977728719 [DOI] [PubMed] [Google Scholar]
  • 45. Nayak M, George A, Vidyasagar M, Mathew S, Nayak S, Nayak B, et al. Quality of life among cancer patients. Indian J Palliat Care. (2017) 23:445. doi:  10.4103/IJPC.IJPC_82_17 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46. Löwe B, Wahl I, Rose M, Spitzer C, Glaesmer H, Wingenfeld K, et al. A 4-item measure of depression and anxiety: Validation and standardization of the Patient Health Questionnaire-4 (PHQ-4) in the general population. J Affect Disord. (2010) 122:86–95. doi:  10.1016/j.jad.2009.06.019 [DOI] [PubMed] [Google Scholar]
  • 47. Kroenke K, Spitzer RL, Williams JBW, Löwe B. An ultra-brief screening scale for anxiety and depression: The PHQ-4. Psychosomatics. (2009) 50:613–21. doi:  10.1176/appi.psy.50.6.613 [DOI] [PubMed] [Google Scholar]
  • 48. Zeilinger EL, Oppenauer C, Knefel M, Kantor V, Schneckenreiter C, Lubowitzki S, et al. Prevalence of anxiety and depression in people with different types of cancer or haematologic Malignancies: A cross-sectional study. Epidemiol Psychiatr Sci. (2022) 31:e74. doi:  10.1017/S2045796022000592 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49. Amiri S. The prevalence of anxiety symptoms/disorders in cancer patients: A meta-analysis. Front Psychiatry. (2024) 15:1422540. doi:  10.3389/fpsyt.2024.1422540 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50. Buysse DJ, Reynolds CF, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh Sleep Quality Index: A new instrument for psychiatric practice and research. Psychiatry Res. (1989) 28:193–213. doi:  10.1016/0165-1781(89)90047-4 [DOI] [PubMed] [Google Scholar]
  • 51. Beck SL, Schwartz AL, Towsley G, Dudley W, Barsevick A. Psychometric evaluation of the Pittsburgh sleep quality index in cancer patients. J Pain Symptom Manage. (2004) 27:140–8. doi:  10.1016/j.jpainsymman.2003.12.002 [DOI] [PubMed] [Google Scholar]
  • 52. Fontes F, Gonçalves M, Maia S, Pereira S, Severo M, Lunet N. Reliability and validity of the Pittsburgh Sleep Quality Index in breast cancer patients. Support Care Cancer Off J Multinatl Assoc Support Care Cancer. (2017) 25:3059–66. doi:  10.1007/s00520-017-3713-9 [DOI] [PubMed] [Google Scholar]
  • 53. Kuhnt S, Ernst J, Singer S, Rüffer JU, Kortmann RD, Stolzenburg JU, et al. Fatigue in cancer survivors – prevalence and correlates. Onkologie. (2009) 32:312–7. doi:  10.1159/000215943 [DOI] [PubMed] [Google Scholar]
  • 54. Stone PC, Minton O. Cancer-related fatigue. Eur J Cancer. (2008) 44:1097–104. doi:  10.1016/j.ejca.2008.02.037 [DOI] [PubMed] [Google Scholar]
  • 55. Fisher MI, Davies C, Lacy H, Doherty D. Oncology Section EDGE Task Force on Cancer: Measures of Cancer-Related Fatigue—A systematic review. Rehabil Oncol. (2018) 36:93. doi:  10.1097/01.REO.000000000000012433079766 [DOI] [Google Scholar]
  • 56. Zhang J, Tang X, Zhang W, Xu Y, Zhang H, Fan Y. Weight loss as a predictor of reduced survival in patients with lung cancer: a systematic review with meta-analysis. Int J Obes. (2025) 49:13–20. doi:  10.1038/s41366-024-01642-z [DOI] [PubMed] [Google Scholar]
  • 57. Bonomi PD, Walsh D, Currow DC, Ballinari G, Skipworth RJE. Cancer cachexia impact on chemotherapy dose reduction, treatment discontinuation, and survival: A qualitative systematic review. J Clin Oncol. (2022) 40:e24103–3. doi:  10.1200/JCO.2022.40.16_suppl.e2410342586871 [DOI] [Google Scholar]
  • 58. Mariani L, Lo Vullo S, Bozzetti F, SCRINIO Working Group . Weight loss in cancer patients: a plea for a better awareness of the issue. Support Care Cancer Off J Multinatl Assoc Support Care Cancer. (2012) 20:301–9. doi:  10.1007/s00520-010-1075-7 [DOI] [PubMed] [Google Scholar]
  • 59. Galiano-Castillo N, Arroyo-Morales M, Ariza-Garcia A, Sánchez-Salado C, Fernández-Lao C, Cantarero-Villanueva I, et al. The Six-Minute Walk Test as a measure of health in breast cancer patients. J Aging Phys Act. (2016) 24:508–15. doi:  10.1123/japa.2015-0056 [DOI] [PubMed] [Google Scholar]
  • 60. Schmidt K, Vogt L, Thiel C, Jäger E, Banzer W. Validity of the six-minute walk test in cancer patients. Int J Sports Med. (2013) 34:631–6. doi:  10.1055/s-0032-1323746 [DOI] [PubMed] [Google Scholar]
  • 61. Bohannon RW, Crouch R. 1-Minute Sit-to-Stand Test: Systematic review of procedures, performance, and clinimetric properties. J Cardiopulm Rehabil Prev. (2019) 39:2–8. doi:  10.1097/HCR.0000000000000336 [DOI] [PubMed] [Google Scholar]
  • 62. Kilgour RD, Vigano A, Trutschnigg B, Lucar E, Borod M, Morais JA. Handgrip strength predicts survival and is associated with markers of clinical and functional outcomes in advanced cancer patients. Support Care Cancer. (2013) 21:3261–70. doi:  10.1007/s00520-013-1894-4 [DOI] [PubMed] [Google Scholar]
  • 63. Meneses-Echavez JF, Loaiza-Betancur AF, Díaz-López V, Echavarría-Rodríguez AM, Triana-Reina HR. Prehabilitation programs for individuals with cancer: a systematic review of randomized-controlled trials. Syst Rev. (2023) 12:219. doi:  10.1186/s13643-023-02373-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64. Fayers P, Bottomley A, EORTC Quality of Life Group. Quality of Life Unit . Quality of life research within the EORTC-the EORTC QLQ-C30. European Organisation for Research and Treatment of Cancer. Eur J Cancer Oxf Engl 1990. (2002) 38 Suppl 4:S125–133. doi:  10.1016/s0959-8049(01)00448-8 [DOI] [PubMed] [Google Scholar]
  • 65. Cohen J. Statistical Power Analysis for the Behavioral Sciences (2013). Routledge. Available online at: https://www.taylorfrancis.com/books/9781134742707 (Accessed January 22, 2025). [Google Scholar]
  • 66. Montalescot L, Baussard L, Charbonnier E. Factors associated with digital intervention engagement and adherence in patients with cancer: systematic review. J Med Internet Res. (2024) 26:e52542. doi:  10.2196/52542 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67. McMullan JC, Williams D, Phillips R, Frost J, Newton C, Jones R, et al. Patient perspectives of multimodal prehabilitation for ovarian cancer with surgical intent: a multicentre qualitative evaluation of acceptability, barriers and facilitators for participation. BMJ Open Qual. (2026) 15:e003677. doi:  10.1136/bmjoq-2025-003677 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68. Micheluzzi V, Merella P, Burrai F, Canu A, Sircana A, Marongiu B, et al. Optimizing cardiac telerehabilitation programs: psychological, social, and implementation factors. Curr Probl Cardiol. (2026) 51:103290. doi:  10.1016/j.cpcardiol.2026.103290 [DOI] [PubMed] [Google Scholar]
  • 69. Podar MD, Stampa S, Razum O, Dockweiler C. Investigating the acceptance and implementation conditions of telerehabilitation in Germany among patients and health care professionals: qualitative interview study. JMIR Rehabil Assist Technol. (2025) 12:e68766. doi:  10.2196/68766 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70. Toohey K, Hunter M, McKinnon K, Casey T, Turner M, Taylor S, et al. A systematic review of multimodal prehabilitation in breast cancer. Breast Cancer Res Treat. (2023) 197:1–37. doi:  10.1007/s10549-022-06759-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71. Molenaar CJ, Van Rooijen SJ, Fokkenrood HJ, Roumen RM, Janssen L, Slooter GD. Prehabilitation versus no prehabilitation to improve functional capacity, reduce postoperative complications and improve quality of life in colorectal cancer surgery. Cochrane Database Syst Rev. (2023) 2023:16. doi:  10.1002/14651858.CD013259.pub3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72. Ferreira V, Minnella EM, Awasthi R, Gamsa A, Ferri L, Mulder D, et al. Multimodal prehabilitation for lung cancer surgery: a randomized controlled trial. Ann Thorac Surg. (2021) 112:1600–8. doi:  10.1016/j.athoracsur.2020.11.022 [DOI] [PubMed] [Google Scholar]
  • 73. Antonescu I, Scott S, Tran TT, Mayo NE, Feldman LS. Measuring postoperative recovery: What are clinically meaningful differences? Surgery. (2014) 156:319–27. doi:  10.1016/j.surg.2014.03.005 [DOI] [PubMed] [Google Scholar]
  • 74. Gillis C, Li C, Lee L, Awasthi R, Augustin B, Gamsa A, et al. Prehabilitation versus rehabilitation: a randomized control trial in patients undergoing colorectal resection for cancer. Anesthesiology. (2014) 121:937–47. doi:  10.1097/ALN.0000000000000393 [DOI] [PubMed] [Google Scholar]
  • 75. Carli F, Bousquet-Dion G, Awasthi R, Elsherbini N, Liberman S, Boutros M, et al. Effect of multimodal prehabilitation vs postoperative rehabilitation on 30-day postoperative complications for frail patients undergoing resection of colorectal cancer: a randomized clinical trial. JAMA Surg. (2020) 155:233. doi:  10.1001/jamasurg.2019.5474 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76. Bousquet-Dion G, Awasthi R, Loiselle S, Minnella EM, Agnihotram RV, Bergdahl A, et al. Evaluation of supervised multimodal prehabilitation programme in cancer patients undergoing colorectal resection: a randomized control trial. Acta Oncol. (2018) 57:849–59. doi:  10.1080/0284186X.2017.1423180 [DOI] [PubMed] [Google Scholar]
  • 77. Brahmbhatt P, Sabiston CM, Lopez C, Chang E, Goodman J, Jones J, et al. Feasibility of prehabilitation prior to breast cancer surgery: a mixed-methods study. Front Oncol. (2020) 10:571091. doi:  10.3389/fonc.2020.571091 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78. Ganz PA, Bower JE. Cancer related fatigue: a focus on breast cancer and Hodgkin’s disease survivors. Acta Oncol Stockh Swed. (2007) 46:474–9. doi:  10.1080/02841860701367845 [DOI] [PubMed] [Google Scholar]
  • 79. Schricker S, Breßmer F, Alscher MD, Löffler C, Cramer H, Winkler M. Effects of a Mind-Body Medicine Group Program for Cancer Patients: A retrospective cohort study. Integr Cancer Ther. (2025) 24:15347354251378056. doi:  10.1177/15347354251378056 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80. Casanovas-Álvarez A, Estanyol B, Ciendones M, Padròs J, Cuartero J, Barnadas A, et al. Effectiveness of an exercise and educational-based prehabilitation program in patients with breast cancer receiving neoadjuvant chemotherapy (PREOptimize) on functional outcomes: a randomized controlled trial. Phys Ther. (2024) 104:pzae151. doi:  10.1093/ptj/pzae151 [DOI] [PubMed] [Google Scholar]
  • 81. Ahrenfeldt J, Carstensen S, Eriksen IMH, Birkbak NJ. Exploring the impact of body mass index on tumor biology and cancer development. J Cancer Res Clin Oncol. (2024) 150:372. doi:  10.1007/s00432-024-05890-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82. Hu C, Chen X, Yao C, Liu Y, Xu H, Zhou G, et al. Body mass index-associated molecular characteristics involved in tumor immune and metabolic pathways. Cancer Metab. (2020) 8:21. doi:  10.1186/s40170-020-00225-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83. Fosam A, Perry RJ. Current mechanisms in obesity and tumor progression. Curr Opin Clin Nutr Metab Care. (2020) 23:395–403. doi:  10.1097/MCO.0000000000000690 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84. Fang P, Tan KS, Troxel AB, Rengan R, Freedman G, Lin LL. High body mass index is associated with worse quality of life in breast cancer patients receiving radiotherapy. Breast Cancer Res Treat. (2013) 141:125–33. doi:  10.1007/s10549-013-2663-2 [DOI] [PubMed] [Google Scholar]
  • 85. Capra S, Ferguson M, Ried K. Cancer: impact of nutrition intervention outcome—nutrition issues for patients. Nutrition. (2001) 17:769–72. doi:  10.1016/S0899-9007(01)00632-3 [DOI] [PubMed] [Google Scholar]
  • 86. Muhandiramge J, Orchard SG, Warner ET, Van Londen GJ, Zalcberg JR. Functional decline in the cancer patient: a review. Cancers. (2022) 14:1368. doi:  10.3390/cancers14061368 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87. Makker PGS, Koh CE, Solomon MJ, Steffens D. Preoperative functional capacity and postoperative outcomes following abdominal and pelvic cancer surgery: a systematic review and meta‐analysis. Anz J Surg. (2022) 92:1658–67. doi:  10.1111/ans.17577 [DOI] [PubMed] [Google Scholar]
  • 88. Crook S, Büsching G, Schultz K, Lehbert N, Jelusic D, Keusch S, et al. A multicentre validation of the 1-min sit-to-stand test in patients with COPD. Eur Respir J. (2017) 49:1601871. doi:  10.1183/13993003.01871-2016 [DOI] [PubMed] [Google Scholar]
  • 89. Tsimopoulou I, Pasquali S, Howard R, Desai A, Gourevitch D, Tolosa I, et al. Psychological prehabilitation before cancer surgery: a systematic review. Ann Surg Oncol. (2015) 22:4117–23. doi:  10.1245/s10434-015-4550-z [DOI] [PubMed] [Google Scholar]
  • 90. Haller H, Winkler MM, Klose P, Dobos G, Kümmel S, Cramer H. Mindfulness-based interventions for women with breast cancer: an updated systematic review and meta-analysis. Acta Oncol. (2017) 56:1665–76. doi:  10.1080/0284186X.2017.1342862 [DOI] [PubMed] [Google Scholar]
  • 91. Jack S, West MA, Raw D, Marwood S, Ambler G, Cope TM, et al. The effect of neoadjuvant chemotherapy on physical fitness and survival in patients undergoing oesophagogastric cancer surgery. Eur J Surg Oncol EJSO. (2014) 40:1313–20. doi:  10.1016/j.ejso.2014.03.010 [DOI] [PubMed] [Google Scholar]
  • 92. Bower JE. Cancer-related fatigue—mechanisms, risk factors, and treatments. Nat Rev Clin Oncol. (2014) 11:597–609. doi:  10.1038/nrclinonc.2014.127 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93. Cambriel A, Choisy B, Hedou J, Bonnet MP, Fellous S, Lefevre JH, et al. Impact of preoperative uni- or multimodal prehabilitation on postoperative morbidity: meta-analysis. BJS Open. (2023) 7:zrad129. doi:  10.1093/bjsopen/zrad129 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94. Carli F, Silver JK, Feldman LS, McKee A, Gilman S, Gillis C, et al. Surgical prehabilitation in patients with cancer: state-of-the-science and recommendations for future research from a panel of subject matter experts. Phys Med Rehabil Clin N Am. (2017) 28:49–64. doi:  10.1016/j.pmr.2016.09.002 [DOI] [PubMed] [Google Scholar]
  • 95. Santa Mina D, Brahmbhatt P, Lopez C, Baima J, Gillis C, Trachtenberg L, et al. The case for prehabilitation prior to breast cancer treatment. PM R. (2017) 9:S305–16. doi:  10.1016/j.pmrj.2017.08.402 [DOI] [PubMed] [Google Scholar]
  • 96. Molenaar CJL, Minnella EM, Coca-Martinez M, Ten Cate DWG, Regis M, Awasthi R, et al. Effect of multimodal prehabilitation on reducing postoperative complications and enhancing functional capacity following colorectal cancer surgery: the PREHAB randomized clinical trial. JAMA Surg. (2023) 158:572. doi:  10.1001/jamasurg.2023.0198 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 97. Silver JK, Baima J. Cancer prehabilitation: an opportunity to decrease treatment-related morbidity, increase cancer treatment options, and improve physical and psychological health outcomes. Am J Phys Med Rehabil. (2013) 92:715–27. doi:  10.1097/PHM.0b013e31829b4afe [DOI] [PubMed] [Google Scholar]
  • 98. Sabajo CR, Ten Cate DWG, Heijmans MHM, Koot CTG, Van Leeuwen LVL, Slooter GD. Prehabilitation in colorectal cancer surgery improves outcome and reduces hospital costs. Eur J Surg Oncol. (2024) 50:107302. doi:  10.1016/j.ejso.2023.107302 [DOI] [PubMed] [Google Scholar]
  • 99. Zamora Talaya BZ, Moorthy K, Savva K, Ni M. A health economic model to assess the impact of prehabilitation on hospital cost savings in gastrointestinal cancer, modelled on English National Health Service tariff. J Clin Oncol. (2023) 41:6648–. doi:  10.1200/JCO.2023.41.16_suppl.664842586871 [DOI] [Google Scholar]
  • 100. Savaş BB, Märtens B, Cramer H, Voiss P, Longolius J, Weiser A, et al. Effects of an interdisciplinary integrative oncology group-based program to strengthen resilience and improve quality of life in cancer patients: results of a prospective longitudinal single-center study. Integr Cancer Ther. (2022) 21:15347354221081770. doi:  10.1177/15347354221081770 [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The datasets presented in this article are not readily available because of e.g. ethical restrictions. Requests to access the datasets should be directed to svenja.klaus-karwisch@uniklinik-ulm.de.


Articles from Frontiers in Oncology are provided here courtesy of Frontiers Media SA

RESOURCES