“Chemotherapy-periodized” Exercise to Accommodate for Cyclical Variation in Fatigue
Bibliographic record
Abstract
PURPOSE: The purpose of this study was to provide a rationale for "chemotherapy-periodized" exercise by characterizing cyclical variations in fatigue and exercise response across a chemotherapy cycle and comparing exercise adherence during chemotherapy between a prescription that is periodized according to chemotherapy cycle length and a standard linearly progressed prescription. METHODS: Women with breast cancer who were prescribed taxane-based chemotherapy were randomly assigned to a supervised aerobic and resistance exercise program after a chemotherapy-periodized exercise prescription (n = 12) or to usual care during chemotherapy (n = 15). Fatigue and steady state exercise responses were assessed in both groups before the first taxane treatment and across the third treatment (i.e., 0-3 d prior and 3-5 d after the third treatment, and 0-3 d before the fourth treatment) to assess cyclical variations. Adherence to the chemotherapy-periodized exercise prescription was compared with adherence to a standard linear prescription from a prior study in a similar population (n = 51). RESULTS: Fatigue increased from baseline (marginal mean ± standard error: 3.2 ± 0.4) to before the third treatment (4.1 ± 0.4, P = 0.025), then peaked at 3 to 5 d after the third treatment (5.1 ± 0.4, P = 0.001), before recovering before the fourth treatment (4.3 ± 0.5, P = 0.021). The peak in fatigue at 3 to 5 d post-third treatment corresponded to a decrease in steady state exercise oxygen consumption (V˙O2) (P = 0.013). Compared with a standard linear exercise prescription during chemotherapy, a chemotherapy-periodized exercise prescription resulted in higher attendance during the week after chemotherapy (57% ± 30% vs 77% ± 28%, P = 0.04) and overall attendance (63% + 25% vs 78% ± 23%, P = 0.05). CONCLUSIONS: Fatigue and exercise V˙O2 vary across a chemotherapy cycle. A chemotherapy-periodized exercise prescription that accommodates cyclical variations in fatigue may increase adherence to supervised exercise.
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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 | 0.001 | 0.002 |
| 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".