Atrial Fibrillation and PCI — Do We Still Need Aspirin?
Bibliographic record
Abstract
The treatment of patients with atrial fibrillation who undergo percutaneous coronary intervention (PCI) is a common clinical dilemma. Approximately 10 to 15% of patients undergoing PCI have a history of atrial fibrillation.1 Patients with atrial fibrillation are at increased risk for stroke, and warfarin has been shown to be superior to dual antiplatelet therapy (DAPT) with clopidogrel plus aspirin for the prevention of stroke.2 However, DAPT has been shown to be markedly superior to aspirin plus warfarin for the prevention of stent thrombosis.3 This has led to the adoption of triple therapy with DAPT plus warfarin in patients with atrial . . .
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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 | 0.002 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.004 | 0.008 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.032 | 0.029 |
| Insufficient payload (model declined to judge) | 0.010 | 0.006 |
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".