Abstract 13208: Time-Dependent Interactions of Prasugrel vs Clopidogrel on the Long-Term Risks of Stroke after Acute Coronary Syndromes: Results from the TRILOGY ACS Trial
Bibliographic record
Abstract
Introduction: The role of more intense, sustained platelet inhibition in preventing post-ACS stroke is unclear. We previously observed a signal for a reduced risk of stroke in the TRILOGY ACS trial after 12 months of treatment with prasugrel vs clopidogrel in medically managed ACS patients. Methods: We examined the TRILOGY efficacy population (7243 ACS patients <75 y), analyzing differences in baseline characteristics between patients with/without a stroke event through 30 months with a Cox proportional hazards model. Patients with prior stroke and/or need for chronic anticoagulation were excluded. We also assessed the impact of prasugrel vs clopidogrel on risk of all stroke events and ischemic stroke over time with an extended Cox proportional hazards model. Results: There were few stroke events (n=77; ischemic stroke=62; hemorrhagic stroke=15) through 30 months. Patients with stroke were older, had more comorbidities including atrial fibrillation, and had a higher GRACE long-term mortality risk score vs...
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".