Statin Use and Risk of Vascular Events Among Cancer Patients After Radiotherapy to the Thorax, Head, and Neck
Bibliographic record
Abstract
Background This study aimed to explore whether statins reduce radiation-induced vascular complications in cancer patients postradiotherapy to the thorax, head, and neck. Methods and Results We conducted a retrospective cohort study within a provincial linked database of 5718 cardiac patients with thorax and head or neck cancer having undergone radiotherapy between 2000 and 2011. One thousand five hundred fifty-two patients were identified as nonstatin users and 4166 as statin users. The primary outcome of interest was the composite of cerebrovascular (transient ischemic attack, and fatal or nonfatal stroke) or cardiovascular events (fatal or nonfatal myocardial infarction). Time-dependent Cox proportional hazard analyses were performed. The crude event rate was 10.31% for nonusers and 9.03% for statin users (hazard ratio of 0.92 [95% CI 0.76-1.10, P=0.3451]), over a mean time to event/censoring of 534±687 days for nonusers and 594±706 days for the statin users. After adjusting for age, sex, prior history of stroke/transient ischemic attack or myocardial infarction, diabetes mellitus, dyslipidemia, atrial fibrillation, chronic kidney disease, heart failure, and hypertension, statin use postradiotherapy was associated with a nonsignificant 15% relative risk reduction, but a strong trend toward reducing the primary outcome (hazard ratio=0.85 95% CI 0.69-1.04, P=0.0811). The use of statins was associated with a significant reduction of 32% for the outcome of stroke alone (hazard ratio=0.68, 95% CI 0.48-0.98, P=0.0368). Conclusions Statin use post radiation therapy was associated with a significant reduction in stroke, with a trend toward significantly reducing cardiovascular and cerebrovascular events.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| 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".