Aspirin Use Is Associated With an Improved Long‐Term Survival in an Unselected Population Presenting With Unstable Angina
Bibliographic record
Abstract
Abstract Background Few published data are available on the benefits of aspirin use in patients with unstable angina (UA). Hypothesis Aspirin use carries a mortality benefit in a population‐based cohort of patients presenting with UA. Methods All residents of Olmsted County, Minnesota presenting to local emergency departments with acute chest pain from January 1985 through December 1992 having symptoms consistent with UA were identified through medical records. A total of 1628 patients were identified with UA and were stratified by aspirin use in‐hospital and at discharge. Cardiovascular mortality and nonfatal myocardial infarction and stroke were assessed over a median of 7.5 years follow‐up and all‐cause mortality data over a median of 16.7 years. The mean age of patients with UA was 65 years, and 60% were men. Results After a median of 7.5 years follow‐up, all‐cause and cardiovascular‐mortality rates were lower among patients prescribed versus not prescribed aspirin on discharge. There were 949 postdischarge deaths over the median follow‐up of 16.7 years. After multivariable adjustment, aspirin use at discharge was associated with a lower long‐term mortality (hazard ratio 0.78; 95% confidence interval, 0.65–0.93). Conclusions Aspirin use at hospital discharge following UA is associated with a reduction in long‐term mortality. This long‐term study extends prior trial results from select populations to a population‐based cohort. Copyright © 2010 Wiley Periodicals, Inc. This study was made possible by the Rochester Epidemiology Project (grant no. R01‐AR30582 from the National Institute of Arthritis and Musculoskeletal and Skin Diseases). The authors have no other funding, financial relationships, or conflicts of interest to disclose.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".