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Record W4408868284 · doi:10.1001/jamacardio.2025.0277

Asundexian or Apixaban in Patients With Atrial Fibrillation According to Prior Oral Anticoagulant Use

2025· article· en· W4408868284 on OpenAlexaff
John H. Alexander, Elizabeth Lydon, Jonathan Piccini, Thomas Viethen, Jonas Oldgren, Shaun G. Goodman, Jan Steffel, Andrea M. Russo, Isabelle C. Van Gelder, Keith C. Ferdinand, Renato D. Lópes, Hardi Mundl, Béla Benczúr, Juan José Gómez‐Doblas, M Glikson, Assen Goudev, Erik Lerkevang Grove, Sigrun Halvorsen, Tuomas Kiviniemi, Anne-Céline Martin, Roopinder K. Sandhu, Dragoş Vinereanu, Frank W. Rockhold, Valeria Caso, Rosa Coppolecchia, Manesh R. Patel

Bibliographic record

VenueJAMA Cardiology · 2025
Typearticle
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsLibin Cardiovascular Institute of AlbertaUniversity of CalgaryUniversity of AlbertaCanadian VIGOUR CentreUniversity of TorontoUniversity Health NetworkSt. Michael's Hospital
Fundersnot available
KeywordsMedicineApixabanAtrial fibrillationInternal medicineStroke (engine)Randomized controlled trialAntithromboticRivaroxabanWarfarin

Abstract

fetched live from OpenAlex

Importance: In patients with atrial fibrillation (AF), oral anticoagulants (OACs) reduce the risk of stroke. Objective: To investigate if patients with less prior OAC exposure respond differently to a new OAC than patients with more OAC exposure. Design, Setting, and Participants: In this prespecified exploratory subgroup analysis of the Oral Factor 11a Inhibitor Asundexian as Novel Antithrombotic-Atrial Fibrillation (OCEANIC-AF) randomized clinical trial, patients enrolled in the OCEANIC-AF trial were categorized as OAC naive or OAC experienced based on whether they had 6 or fewer weeks or more than 6 weeks of prior OAC use. The effect of asundexian vs apixaban was then compared on outcomes among patients who were OAC naive and OAC experienced. The study setting included 1035 sites in 38 countries, and participants were those enrolled in the OCEANIC-AF trial. Data were analyzed from June to July 2024. Interventions: Asundexian, a novel factor XIa inhibitor, was compared with apixaban in patients with AF. Main Outcomes and Measures: The primary efficacy outcome was stroke or systemic embolism. The main safety outcome was major bleeding. Results: Of patients in the OCEANIC-AF trial, 2493 (17%) were OAC naive (mean [SD] age, 72.6 [8.6] years; 1464 male [59%]) and 12 317 (83%) were OAC experienced (mean [SD] age, 74.2 [7.5] years; 8132 male [66%]). In the asundexian arm, patients who were OAC naive had a stroke or systemic embolism rate of 0.8% (10 of 1238) compared with 1.4% (88 of 6177) in those who were OAC experienced. In the apixaban arm, patients who were OAC naive had a stroke or systemic embolism rate of 0.6% (7 of 1255) compared with 0.3% (19 of 6140) in those who were OAC experienced. Thus, patients who were OAC naive had a smaller increase in stroke or systemic embolism with asundexian compared with apixaban (hazard ratio [HR], 1.42; 95% CI, 0.54-3.73) than patients who were OAC experienced (HR, 4.66; 95% CI, 2.84-7.65; P for interaction =.03). Bleeding rates were lower among both OAC-naive patients (0.2% [2 of 1228]) and OAC-experienced patients (0.2% [15 of 6145]) assigned asundexian than among OAC-naive patients (1.0% [13 of 1249]) and OAC-experienced patients (0.7% [40 of 6115]) assigned apixaban. Conclusions and Relevance: In the OCEANIC-AF randomized clinical trial, patients with AF who were OAC naive had a smaller increase in stroke or systemic embolism and a similar lower rate of bleeding with asundexian compared with apixaban than patients who were OAC experienced. The mechanism of these findings is unknown and deserves further research. Trial Registration: ClinicalTrials.gov Identifier: NCT05643573.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.025
Threshold uncertainty score0.421

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.051
GPT teacher head0.333
Teacher spread0.282 · 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 teacher head, 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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