Advances in Adherence Reporting of Resistance Training in a Clinical Trial during Adjuvant Chemotherapy for Colon Cancer
Bibliographic record
Abstract
PURPOSE: Detailed reporting of individually tailored exercise prescriptions (ExR x ) used in clinical trials is essential to describe feasibility, tolerability, and efficacy of the intervention and to inform translation to clinical care. This article outlines the methodology used to develop a resistance training (RT) ExR x for people with colon cancer receiving chemotherapy and reports adherence to the randomized controlled trial testing the impact of RT on relative dose intensity of chemotherapy and patient-reported toxicities. METHODS: Participants randomized to the exercise arm ( n = 90) were included. To promote muscle hypertrophy, the ExR x was twice-weekly, moderate to heavy loads (65%-85% one-repetition maximum), high sets (3-5), and intermediate repetitions (6-10) of five large multijoint movements with adjustable dumbbells. Attendance (achieved frequency) and adherence (achieved volume) were calculated. Group-based trajectory modeling was used to identify clusters of individuals with similar adherence patterns and compared baseline characteristics across adherence groups. RESULTS: The median attendance was 69.1%. Adherence was 60.6% but higher for those receiving 3 versus 6 months of chemotherapy (80.4 vs 47.4%; P < 0.05 ). Participants engaged in a median of 1.4 d of RT each week, lifting 62% of the one-repetition maximum load, for 3.0 sets and 7.5 repetitions per set. Three distinct adherence groups were identified: 13% "nonstarter," 37% "tapered off," and 50% "consistent exercisers." Females were more likely to be in the nonstarter and tapered-off groups. CONCLUSIONS: This article outlines suggested methods for reporting ExR x of RT in oncology clinical trials and provides insight into the tolerance of ExR x of RT during chemotherapy treatment for colon cancer. These findings aim to foster constructive dialogue and offer a premise for designing future research to elucidate the benefits of exercise during chemotherapy.
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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 | 0.508 | 0.612 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".