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Record W4415468230 · doi:10.1161/jaha.124.039752

Rivaroxaban in Peripheral Artery Disease After Revascularization: Worst Events and Net Outcomes in VOYAGER PAD

2025· article· en· W4415468230 on OpenAlexaff
Shea E. Hogan, Michael Szarek, E. Sebastian Debus, Mark R. Nehler, Sonia S. Anand, Manesh R. Patel, Ákos F. Pap, Hsiaowei Deng, Sophie Hodge, Lloyd Haskell, Eva Muehlhofer, Scott D. Berkowitz, Rupert Bauersachs, Marc P. Bonaca

Bibliographic record

VenueJournal of the American Heart Association · 2025
Typearticle
Languageen
FieldMedicine
TopicPeripheral Artery Disease Management
Canadian institutionsHamilton Health SciencesMcMaster UniversityPopulation Health Research Institute
Fundersnot available
KeywordsRivaroxabanArterial diseaseDiseasePeripheralCoronary artery diseaseCarotid artery diseaseDiabetes mellitus

Abstract

fetched live from OpenAlex

Background 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) demonstrated that antiplatelet therapy with rivaroxaban 2.5 mg twice daily compared with placebo reduced the first event in a composite end point in patients with peripheral artery disease after revascularization. The purpose of this analysis was to (1) evaluate whether rivaroxaban decreased the most severe events and (2) compare the harm and benefit of rivaroxaban on the same scale. Methods Two exploratory, hierarchical analyses of the primary efficacy composite outcome and one exploratory analysis of the net clinical benefit composite outcome were prespecified. The global rank method and the win ratio method ranked components of the composite outcome by clinical importance. The net clinical benefit included both efficacy and safety outcomes. Results The global rank method demonstrated that participants on rivaroxaban had fewer or later events than their placebo counterparts when events were compared in a hierarchical manner (primary ranking, P =0.0158). The win ratio approach demonstrated fewer or later fatal and nonfatal ischemic events in the rivaroxaban arm (win ratio, 1.16 [95% CI, 1.03–1.30]; P =0.0167). The net clinical benefit analysis revealed an overall beneficial effect of rivaroxaban when different efficacy and safety end points were included ( P <0.001). Conclusions Evaluation of the VOYAGER PAD primary outcome exploring ranking of components revealed that (1) rivaroxaban decreased the most severe ischemic events and (2) that across different efficacy and safety outcomes, results consistently supported a favorable benefit–risk profile. These results help inform shared decision making on the use of rivaroxaban 2.5 mg twice daily with daily antiplatelet therapy. Registration URL: https://www.clinicaltrials.gov ; unique identifier: NCT02504216.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.005
GPT teacher head0.260
Teacher spread0.255 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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