Efficacy of exercise interventions for women during and after gynaecological cancer treatment – a systematic scoping review
Bibliographic record
Abstract
Abstract Purpose To systematically synthesise evidence of exercise intervention efficacy for physical/psychosocial outcomes that matter to women during/following treatment for gynaecological cancer. Methods Five databases were searched (PubMed, EMBASE, CINAHL, PsychInfo, Scopus). Exercise-only intervention studies that included women during/ following treatment for any gynaecological cancer, with/ without control comparison, on any physical or psychosocial outcome(s), were included and qualitatively appraised using the Revised Cochrane Risk of Bias tool and a modified Newcastle-Ottawa Scale. Results Seven randomised controlled trials (RCTs), three single-arm pre-post studies, and one prospective cohort study satisfied were included (11 studies). Most studies were completed following treatment (91%), included combined (aerobic and resistance; 36%) and aerobic (36%) training, were fully/mostly (63%) unsupervised, and had a moderate-to-high risk of bias. Overall, 33 outcomes (64% objectively-measured) were assessed. Improvements were observed in aerobic capacity (V̇O2 Peak +1.6 mL/kg/min, 6-minute walk distance +20-27 m), lower- (30-second sit-to-stand +2-4 repetitions) and upper-limb strength (30-second arm curl +5 repetitions; 1RM grip strength/chest press +2.4-3.1 kg), and agility (timed up-and-go -0.6 seconds). However, changes in quality of life, anthropometry/body composition, balance and flexibility were inconsistent. There was no evidence to support worsening of outcomes. Conclusion Preliminary research into the role of exercise post-gynaecological cancer suggests an improvement in exercise capacity, muscular strength, and agility which, in the absence of exercise, typically decline following gynaecological cancer. Future exercise trials involving larger and more diverse gynaecological cancer samples will improve understanding of the potential and magnitude of effect of guideline-recommended exercise on outcomes that matter to patients.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.015 | 0.064 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.010 | 0.007 |
| Bibliometrics | 0.011 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".