Aspirin-resistant thromboxane biosynthesis and the risk of myocardial infarction, stroke, or cardiovascular death in patients at high risk for cardiovascular events. Eikelboom JW, Hirsh J, Weitz J, Johnston M, Yi Q, Yusuf S. Circulation 2002; 105: 1650- 1655.
Bibliographic record
Abstract
Question: Among high-risk patients with vascular disease treated with aspirin, is incomplete suppression of thromboxane generation associated with an increased risk of recurrent cardiovascular events? Population: Men and women $ 55 years of age who had a history of coronary artery disease, stroke, peripheral vascular disease, or diabetes plus at least one other CV risk factor who participated in the HOPE trial which was a 2 3 2 factorial randomized controlled trial of ramipril and vitamin E. 1 Design and methods: Nested case‐ control study of the 5529 patients from the HOPE trial participants from Canada in whom a urine sample was collected at baseline. All samples were sent to a central laboratory and stored at -80°C. Only those patients who were taking aspirin were included. Cases were dee ned as individuals who had a cone rmed MI, stroke, or CV death after randomization. Control subjects were randomly selected from aspirin-treated patients who provided adequate urine samples but did not suffer MI, stroke or CV death after randomization. Cases and controls were matched according to sex and age ( 6 5 years) in a ratio of 1:1. Urine was thawed and assayed for 11-dehydro thromboxane B 2 levels using the Caymann Chemical immunoassay. Results: Among 488 cases and 488 matched controls, the odds of an MI, stroke or CV death increased with each increasing quartile of 11-dehydro thromboxane B 2, with patients in the upper quartile having a 1.8 times higher risk than those in the lower quartile (OR = 1.8; 95% CI: 1.2‐ 2.7, p = 0.009). Conclusion: Among aspirin-treated patents who have established vascular disease, urinary 11dehydro thromboxane B 2 predicts the future risk of MI and CV death, and may ree ect ‘ aspirin resistance’ .
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.005 |
| 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) | 0.000 | 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".