Uninterrupted administration of edoxaban vs vitamin K antagonists in patients undergoing atrial fibrillation catheter ablation: Rationale and design of the ELIMINATE‐AF study.
Why this work is in the frame
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Bibliographic record
Abstract
Patients with atrial fibrillation (AF) are at an approximately 0.5% to 3% increased risk of thromboembolism during and immediately after catheter ablation. Treatment guidelines recommend periprocedural oral anticoagulation plus unfractionated heparin during ablation. Rivaroxaban and dabigatran are the only non-vitamin K oral anticoagulants for which there are randomized controlled trials assessing uninterrupted anticoagulation in patients undergoing catheter ablation of AF. Edoxaban, a direct factor Xa inhibitor, is noninferior vs warfarin for the prevention of stroke or systemic embolism with less major bleeding in patients with nonvalvular AF. The ELIMINATE-AF (Evaluation of Edoxaban Compared With VKA in Subjects Undergoing Catheter Ablation of Nonvalvular Atrial Fibrillation) trial is a multinational, multicenter, prospective, randomized, open-label, parallel-group, blinded-endpoint evaluation (PROBE) study to assess the safety and efficacy of once-daily edoxaban 60 mg (30 mg in patients indicated for a dose reduction) vs vitamin K antagonists (VKA) in patients with nonvalvular AF undergoing catheter ablation (http://www.ClinicalTrials.gov: NCT02942576). A total of 560 patients are planned for randomization to edoxaban or VKA (2:1 ratio) to obtain 450 patients fully compliant with the protocol. Patients will complete 21 to 28 days of anticoagulation prior to the ablation and a 90-day post-ablation period. The primary efficacy endpoint is the composite of all-cause death, stroke, and major bleeding. The primary safety endpoint is major bleeding. A magnetic resonance imaging substudy will assess the incidence of silent cerebral lesions post-ablation. ELIMINATE-AF will define the efficacy and safety of edoxaban for uninterrupted oral anticoagulation during catheter ablation of AF.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it