Total Ischemic Event Reduction With Rivaroxaban After Peripheral Arterial Revascularization in the VOYAGER PAD Trial
Bibliographic record
Abstract
BACKGROUND: Patients with peripheral artery disease (PAD) undergoing lower extremity revascularization (LER) are at high risk of major adverse limb and cardiovascular events. The VOYAGER PAD (Efficacy and Safety of Rivaroxaban in Reducing the Risk of Major Thrombotic Vascular Events in Subjects With Symptomatic Peripheral Artery Disease Undergoing Peripheral Revascularization Procedures of the Lower Extremities) trial demonstrated that rivaroxaban 2.5 mg twice daily reduced first events by 15%. The benefit of rivaroxaban on total (first and subsequent) events in this population is unknown. OBJECTIVES: This study sought to evaluate the total burden of vascular events in patients with PAD after LER and the efficacy of low-dose rivaroxaban on total events. METHODS: VOYAGER PAD randomized patients with PAD undergoing LER to rivaroxaban 2.5 mg twice daily plus aspirin or aspirin alone. The primary endpoint was time to first event of acute limb ischemia, major amputation of a vascular cause, myocardial infarction, ischemic stroke, or cardiovascular death. The current analysis considered all events (first and subsequent) for components of the primary endpoint as well as additional vascular events including peripheral revascularizations and venous thromboembolism. HRs were estimated by marginal proportional hazards models. RESULTS: Among 6,564 randomized events, there were 4,714 total first and subsequent vascular events including 1,614 primary endpoint events and 3,100 other vascular events. Rivaroxaban reduced total primary endpoint events (HR: 0.86; 95% CI: 0.75-0.98; P = 0.02) and total vascular events (HR: 0.86; 95% CI: 0.79-0.95; P = 0.003). An estimated 4.4 primary and 12.5 vascular events per 100 participants were avoided with rivaroxaban over 3 years. CONCLUSIONS: Patients with symptomatic PAD who are undergoing LER have a high total event burden that is significantly reduced with rivaroxaban. Total event reduction may be a useful metric to quantify the efficacy of rivaroxaban in this setting. (Efficacy and Safety of Rivaroxaban in Reducing the Risk of Major Thrombotic Vascular Events in Subjects With Symptomatic Peripheral Artery Disease Undergoing Peripheral Revascularization Procedures of the Lower Extremities [VOYAGER PAD]; NCT02504216).
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".