Investigational factor Xa inhibitors for thrombosis and acute coronary syndromes
Bibliographic record
Abstract
INTRODUCTION: A number of new oral anticoagulant drugs that selectively and directly inhibit factor Xa (FXa) appear as promising alternatives to the existing anticoagulant agents. These compounds present a convenient route of administration with predictable pharmacokinetics and pharmacodynamics that allow fixed dosing regimens without requiring coagulation monitoring. Rivaroxaban is the first of this new class of drugs that was approved for the prevention of venous thromboembolism (VTE) after elective total hip replacement or total knee replacement surgery in the EU, Canada and several other countries. Clinical trials with rivaroxaban in patients with acute VTE and in patients with atrial fibrillation have been recently completed. Numerous other compounds are under different developing stages (apixaban, edoxaban, otamixaban, LY517717, PRT-054021, YM150). AREAS COVERED: This review provides an overview of the two oral anti-FXa drugs at the most advanced stage of development (rivaroxaban and apixaban) and briefly describes and comments on the results of the most important studies. EXPERT OPINION: Undoubtedly, these new drugs will offer several advantages over the previous compounds, but a number of issues still require some attention during the phase of translation from clinical trials into daily clinical practice.
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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 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".