Association between physical activity and the time course of cancer recurrence in stage III colon cancer
Bibliographic record
Abstract
OBJECTIVE: We determined if postoperative physical activity prevents or delays cancer recurrence in patients with stage III colon cancer. METHODS: This cohort study nested within a randomised trial enrolled 1696 patients with surgically resected stage III colon cancer. Physical activity was calculated based on self-reporting during and after chemotherapy. Patients were classified as physically active (≥9 MET-h/wk, comparable with the energy expenditure of 150 min/wk of brisk walking, consistent with the current physical activity guidelines for cancer survivors) or physically inactive (<9 MET-h/wk). The confounder-adjusted hazard rate (risk of recurrence or death) and HR by physical activity category were estimated with continuous time to allow non-proportionality of hazards. RESULTS: During a median 5.9 years follow-up, 457 patients experienced disease recurrence or death. For physically active and physically inactive patients, the risk of disease recurrence peaked between 1 and 2 years postoperatively and declined gradually to year 5. The risk of recurrence in physically active patients never exceeded that of physically inactive patients during follow-up, suggesting that physical activity prevents-as opposed to delays-cancer recurrence in some patients. A statistically significant disease-free survival benefit associated with physical activity was observed during the first postoperative year (HR 0.68, 95% CI 0.51 to 0.92). A statistically significant overall survival benefit associated with physical activity was observed during the first three postoperative years (HR 0.32, 95% CI 0.19 to 0.51). CONCLUSIONS: In this observational study of patients with stage III colon cancer, postoperative physical activity is associated with improved disease-free survival by lowering the recurrence rate within the first year of treatment, which translates into an overall survival benefit.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 |
| 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".