Aerobic and Resistance Exercise Improves Reynolds Risk Score in Overweight or Obese Breast Cancer Survivors
Bibliographic record
Abstract
Abstract Background : Breast cancer survivors have double the risk of mortality from cardiovascular disease than age-matched women without a cancer history. Reynolds risk score (RRS) is a validated algorithm for the assessment of cardiovascular disease risk. This secondary analysis sought to examine the effects of a 16-week aerobic and resistance exercise intervention on RRS in overweight or obese breast cancer survivors. Methods and Results: One hundred overweight or obese (BMI>25kg/m 2 ) breast cancer survivors were randomized to exercise or usual care. The exercise group underwent aerobic and resistance exercise sessions for 16 weeks. RRS was calculated using a validated equation. Group differences in mean change for RRS were evaluated using repeated-measures analyses of variance. Post-intervention, RRS was significantly reduced (7.9±0.9% to 1.0±0.5%, p<0.001) in the exercise group compared to a significant increase (9.0±0.8% to 11.6±1.2%; p=0.002%) in the usual care group (P<0.01). RRS was significantly reduced in exercise vs usual care (between group difference, -10.6; 95% CI, -16.3 to -7.4; p<0.001). Conclusion: A 16-week aerobic and resistance exercise intervention is an effective approach to reduce the risk of cardiovascular disease in breast cancer survivors. Exercise during cancer survivorship should be considered to reduce the risk for cardiovascular disease risk in overweight women breast cancer survivors. Trial registration: ClinicalTrials.gov: NCT01140282. Registered 9 June 2010, https://clinicaltrials.gov/ct2/show/NCT01140282?term=NCT01140282&draw=2&rank=1
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".