Rivaroxaban as an oral anticoagulant for stroke prevention in atrial fibrillation
Bibliographic record
Abstract
Atrial fibrillation (AF) is the most common cardiac arrhythmia in the developed world and is associated with a fivefold increase in the risk of stroke, accounting for up to 15% of strokes in the general population. The European Society of Cardiology now recommends direct oral anticoagulants, such as rivaroxaban, apixaban, and dabigatran, in preference to vitamin K antagonist therapy for the prevention of stroke in patients with A F. This review focuses on the direct Factor Xa inhibitor rivaroxaban, summarizing the properties that make rivaroxaban appropriate for anticoagulant therapy in this indication (including its predictable pharmacokinetic and pharmacodynamic profile and once-daily dosing regimen) and describing data from the Phase III ROCKET AF trial, which showed once-daily rivaroxaban to be noninferior to warfarin for the prevention of stroke in patients with nonvalvular AF. In this trial, similar rates of major and nonmajor clinically relevant bleeding were observed; however, when compared with warfarin, rivaroxaban was associated with clinically significant reductions in intracranial and fatal bleeding. On the basis of these results, rivaroxaban was approved in both the United States and the European Union for the prevention of stroke and systemic embolism in patients with nonvalvular AF. Subanalyses of ROCKET AF data showed rivaroxaban to have consistent efficacy and safety across a wide range of patients, and studies to confirm these results in real-world settings are underway. This review also describes practical considerations for treatment with rivaroxaban in clinical practice (including dose reductions in specific high-risk patients, eg, those with renal impairment), recommendations for the transition from vitamin K antagonists to rivaroxaban, the management of bleeding events, and the measurement of rivaroxaban exposure.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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".