People With Hematological Malignancies Treated With Bone Marrow Transplantation Have Improved Function, Quality of Life, and Fatigue Following Exercise Intervention: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
OBJECTIVE: For people with hematological malignancies treated with bone marrow transplantation (BMT), this systematic review aimed to identify, evaluate, and synthesize the evidence examining the effect of exercise training on the outcomes of exercise capacity, health-related quality of life (HRQoL), and hospital length of stay (LOS) and to identify any difference in the effect on people treated with allogeneic versus autologous transplantation. METHODS: Five electronic databases were systematically searched from inception to December 5, 2020. Prospective studies with a comparator group, with or without randomization, were included if they investigated the effects of an exercise intervention compared with usual care or another intervention in adults who had a hematological malignancy and were undergoing BMT. Primary outcomes of interest were functional exercise capacity and HRQoL; secondary outcomes included strength, fatigue, hospital LOS, and feasibility. Only randomized controlled trials were included in the meta-analyses. Risk of bias was evaluated using the Physiotherapy Evidence Database or Newcastle-Ottawa Scale; the quality of evidence for meta-analyses was assessed using the Grading of Recommendations Assessment, Development and Evaluation approach. RESULTS: Twenty-four randomized controlled trials and 3 prospective nonrandomized experimental trials were included (n = 2432). There was moderate-quality evidence that exercise improves functional exercise capacity (mean difference [MD] = 29 m; 95% CI = 12.59 to 45.4), global HRQoL (MD = 3.38 points; 95% CI = 0.37 to 6.39), and fatigue (MD = 2.52 points; 95% CI = 0.42 to 4.63) and low-quality evidence for reduced hospital LOS (MD = 2.07 days; 95% CI = 0.43 to 3.72). These effects were more pronounced in recipients of allogeneic transplantation. No serious adverse events were associated directly with exercise in the included studies. CONCLUSION: Exercise is safe and improves outcomes, including functional exercise capacity, HRQoL, and hospital LOS in adults undergoing BMT. IMPACT: The results of this systematic review support the implementation of exercise programs in adults undergoing BMT, particularly recipients of allogeneic transplantation.
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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 | 0.010 | 0.029 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.017 | 0.031 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".