ArticleJournal of arrhythmia2025
Novel anticoagulation therapy using apple watch after catheter ablation for atrial fibrillation-Up to AF trial: Design and rationale.
Article in Journal of arrhythmia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Clinical outcomes of continuing vs. discontinuing oral anticoagulation after atrial fibrillation ablation: an updated systematic review and meta-analysis of observational studies and randomized controlled trials.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2026Pooled it
- Monitoring Atrial Fibrillation Using Wearable Digital Technologies: The Emerging Role of Smartwatches.Journal of clinical medicine · 2025Review
- Novel anticoagulation therapy using apple watch after catheter ablation for atrial fibrillation-Up to AF trial: Design and rationale.Journal of arrhythmia · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
21 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Continuous anticoagulation based on the CHA2DS2-VASc score is recommended to prevent embolism caused by atrial fibrillation (AF), but it does not consider AF episodes. The Apple Watch's continuous heart rhythm monitoring and fast-acting direct oral anticoagulants (DOACs) could enable precise, episode-tailored anticoagulation, reducing bleeding risks while preventing stroke. This study evaluates Apple Watch-guided personalized anticoagulation therapy, adjusting DOAC usage based on real-time AF detection. Methods: This multicenter prospective single-arm study will enroll patients who have maintained sinus rhythm post-ablation and are on DOACs. The target enrollment is 50 patients free of AF for at least 30 days following the initiation of Apple Watch monitoring. If no AF occurs for the first 30 days of monitoring, anticoagulants will be discontinued on day 31. If AF is confirmed after day 31, DOAC administration will be resumed and continued until the end of the observation period. The primary endpoint is the reduction in the total number of days with DOACs from day 31 to day 360 compared to the conventional method of continuing anticoagulation. Secondary endpoints include all-cause mortality, stroke, systemic thromboembolism, bleeding events, and Apple Watch malfunctions. Results: Enrollment of a total of 50 patients was completed in April 2024. Follow-up of the last enrolled patient will be completed in April 2025 and primary results are expected to be available in late 2025. Conclusions: The Up to AF trial is the first trial to evaluate Apple Watch-guided personalized anticoagulation therapy. This trial represents a potential advancement in personalized medicine for AF management.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.