Exercise training in patients with locally advanced stage rectal cancer: Pain, fatigue, insomnia, and health perceptions outcomes
Bibliographic record
Abstract
The wait period between the completion of neoadjuvant-chemoradiation therapy (NACRT) and surgery can be challenging for patients with advanced rectal cancer who experience debilitating side effects. This can depreciate patients' perceptions of their health status. Thus, identifying strategies to reduce side effects and maintain patients' perceptions of their health status is a priority in the treatment of advanced stage rectal cancer. In this study, the effectiveness of a 6-week, in-hospital exercise intervention for promoting physical and mental health perceptions and reducing pain, fatigue, and insomnia in patients with locally advanced rectal cancer (n=24, Mage=63 years, SD = 9.7; 58% male) was examined. The intervention was delivered immediately after patients completed NACRT and prior to surgery. Participants completed questionnaires at three time points: pre-NACRT, post-NACRT/pre-exercise intervention, and post-exercise intervention. Data were analyzed using Wilcoxon matched-pairs signed-rank tests, and the Simes procedure was used to correct for multiple comparisons. Fatigue decreased (p=.01) and physical health perceptions increased (p=.004) pre- to post-exercise intervention. Pain also decreased during this time, albeit not significantly based on the corrected critical p-value (p=.03). There were no significant differences in insomnia or mental health perceptions across assessments (ps=.11-.73). Based on these findings, pre-operative exercise training appears to effectively reduce fatigue and improve physical health perceptions in patients awaiting surgery for locally advanced stage rectal cancer. Including pre-surgical exercise within patients' cancer plan of care post-NACRT may be a critical strategy to reduce certain side effects, improve perceptions of physical health status, and ultimately promote recovery.Acknowledgments: This study was conducted while the first author was supported by a Canadian Cancer Society Career Development Award in Prevention.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".