ArticleJACC. Advances2025
Accuracy of Smartwatches in the Detection of Atrial Fibrillation: A Systematic Review and Diagnostic Meta-Analysis.
Article in JACC. Advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 18 papers.
What it found
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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
18 citing papers in PubMed.
- Time for Change: Strengthening Early Detection and Intervention Strategies to Improve Cardiovascular Health in Canada.CJC open · 2026Review
- Top developments in clinical cardiac electrophysiology-2025.Heart rhythm O2 · 2026Review
- AI-Driven Atrial Fibrillation Management: From Signal to Strategy.Balkan medical journal · 2026Review
- Comparative Efficacy of Continuous Versus Patch ECG Monitoring in Detecting Atrial Fibrillation Recurrence Post Catheter Ablation: Insights From the REAL-AF Registry.Journal of cardiovascular electrophysiology · 2026Observational
- Article
- Review
- Wearables for Telemonitoring in ATTR-Amyloidosis: Current Perspectives.Sensors (Basel, Switzerland) · 2026Review
- Reply: Accuracy of Smartwatches in the Detection of Atrial Fibrillation.JACC. Advances · 2026Article
- Methodological Inconsistency in Comparing Wearable Device Accuracy for Atrial Fibrillation Detection.JACC. Advances · 2026Article
- Article
- Smartwatch Accuracy for Atrial Fibrillation: Do Not Confuse Alert and Confirmation.JACC. Advances · 2026Article
- Reimagining atrial fibrillation screening beyond age-based thresholds using AI.NPJ digital medicine · 2026Article
- QT Myopia and Cardiac Safety: Expanding the Aperture of Arrhythmia Assessment in Early Phase Drug Development.Clinical and translational science · 2026Review
- The Evolving Role of Artificial Intelligence and Machine Learning in the Wearable Electrocardiogram: A Primer on Wearable-Enabled Prediction of Cardiac Dysfunction.Bioengineering (Basel, Switzerland) · 2026Review
- Comparative Performance of Patch-Type and Lead-Type Wearable Electrocardiogram Devices for Arrhythmia Detection in Routine Clinical Practice.Journal of clinical medicine · 2026Article
- Bionic Wearable ECG with Multimodal Large Language Models: Coherent Temporal Modeling for Early Ischemia Warning and Reperfusion Risk Stratification.Cyborg and bionic systems (Washington, D.C.) · 2026Article
- Uncharted Waters: The OCEAN Trial and the Expanding Indications for AF Ablation.European cardiology · 2026Article
- Monitoring Atrial Fibrillation Using Wearable Digital Technologies: The Emerging Role of Smartwatches.Journal of clinical medicine · 2025Review
Corrections and comments
- Erratum issued
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAtrial fibrillation (AF) is the most prevalent arrhythmia and a significant risk factor for stroke and heart disease, making early diagnosis crucial for prevention. Although several smartwatches can detect AF, their accuracy varies, and there is limited information regarding their effectiveness.
objectivesThe purpose of this study was to analyze the overall accuracy of current available smartwatches in identifying AF.
methodsA comprehensive systematic literature search was performed across major databases for articles published until January 2025. The specificity, sensitivity, and area under the curve (AUC). Statistical analysis was conducted using R software. The review protocol was registered in PROSPERO (CRD420251007932).
resultsTwenty-six studies were included in the study, including 17,349 patients. Overall sensitivity was 95% (95% CI: 92%-97%; I
conclusionsSmartwatches possess excellent diagnostic accuracy for AF detection and may, therefore, represent a suitable and fitting option for patients.
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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.