Bibliographic record
Abstract
Atrial fibrillation (AF) is a major risk factor for stroke. Currently, acetylsalicylic acid (a platelet inhibitor) and vitamin K antagonists (VKAs; oral anticoagulants), including warfarin, are the only approved antithrombotic therapies for stroke prevention in patients with AF. Although effective, VKAs have unpredictable pharmacological effects, requiring regular coagulation monitoring and dose adjustment to maintain effects within the therapeutic range. The clinical development pathway for novel anticoagulants often involves evaluation of efficacy and safety in a short-term indication, such as the prevention of venous thrombo-embolism (VTE), followed by longer-term VTE treatment studies, and finally chronic indications, including stroke prevention studies in patients with AF. The coagulation pathway provides many targets for novel anticoagulants, including Factor Xa (FXa) and Factor IIa (thrombin). Numerous oral, direct FXa inhibitors are in various stages of clinical development, including rivaroxaban, LY517717, YM150, DU-176b, apixaban, and betrixaban, and are anticipated to overcome the limitations of VKAs. Dabigatran is the only oral direct thrombin inhibitor in late-stage development. Studies of these agents for stroke prevention in patients with AF are planned or ongoing. If approved, they may represent the next generation of anticoagulants, by providing new therapeutic options for stroke prevention in patients with AF.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 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 | 0.001 |
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".