Bleeding in patients with atrial fibrillation treated with combined antiplatelet and anticoagulant therapy: time to turn the corner
Bibliographic record
Abstract
Anticoagulation is the mainstay for stroke prevention in patients with atrial fibrillation (AF). Many patients with AF also have a concomitant indication for either single or dual antiplatelet (aspirin plus a P2Y12 inhibitor) therapy. For instance, about 1 in 3 patients with AF have coexistent coronary artery disease, and about 1 in 5 undergo percutaneous coronary intervention (PCI) (1). Although anticoagulant therapy is more effective than either single or dual antiplatelet therapy (DAPT) for stroke prevention in AF, guidelines recommend DAPT over vitamin K antagonist (VKA) for the prevention of coronary stent thrombosis. Such quandary prompted the addition of DAPT to an anticoagulant, also known as triple therapy, with the intent of preventing both coronary ischemic and cardioembolic events (2).
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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 | 0.001 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.016 | 0.016 |
| Insufficient payload (model declined to judge) | 0.007 | 0.004 |
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".