Trial reportTrials2015
Detecting and Diagnosing Atrial Fibrillation (D2AF): study protocol for a cluster randomised controlled trial.
Trial report in Trials, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 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
22 citing papers in PubMed, 34 citations in OpenAlex.
- Trial
- Opportunistic screening versus usual care for detection of atrial fibrillation in primary care: cluster randomised controlled trial.BMJ (Clinical research ed.) · 2020Trial
- Artificial intelligence-enabled analysis of handheld single-lead electrocardiograms to predict incident atrial fibrillation: an analysis of the VITAL-AF randomized trial.NPJ digital medicine · 2025Article
- Atrial Fibrillation Screening Driven by Monitoring Technologies: Reducing Stroke Burden in Asian Populations.JACC. Asia · 2025Article
- Screening for atrial fibrillation: a narrative review.The British journal of cardiology · 2025Article
- Mobile Electrocardiograms in the Detection of Subclinical Atrial Fibrillation in High-Risk Outpatient Populations: Protocol for an Observational Study.JMIR research protocols · 2024Article
- How is atrial fibrillation detected in everyday healthcare? Results of a Dutch cohort study.Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation · 2023Article
- Keep your fingers on the PULsE: artificial intelligence to guide atrial fibrillation screening.European heart journal. Digital health · 2022Article
- Article
- Article
- Research Priorities in Atrial Fibrillation Screening: A Report From a National Heart, Lung, and Blood Institute Virtual Workshop.Circulation · 2021Review
- New Technologies for Detection and Management of Atrial Fibrillation.Journal of the Saudi Heart Association · 2021Review
- Cost-Effectiveness of Extended and One-Time Screening Versus No Screening for Non-Valvular Atrial Fibrillation in the USA.Applied health economics and health policy · 2020Article
- Population-Based Screening for Atrial Fibrillation.Circulation research · 2020Review
- Review of mobile applications for the detection and management of atrial fibrillation.Heart rhythm O2 · 2020Article
- ECG Monitoring Systems: Review, Architecture, Processes, and Key Challenges.Sensors (Basel, Switzerland) · 2020Review
- Risk of Atrial Fibrillation, Ischemic Stroke and Cognitive Impairment: Study of a Population Cohort ≥65 Years of Age.Vascular health and risk management · 2020Observational
- How do Dutch general practitioners detect and diagnose atrial fibrillation? Results of an online case vignette study.BMC family practice · 2019Article
- Electrocardiographic screening in primary care for cardiovascular disease risk and atrial fibrillation.Primary health care research & development · 2019Article
- Current practice of Dutch cardiologists in detecting and diagnosing atrial fibrillation: results of an online case vignette study.Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAtrial fibrillation is a common cause of stroke and other morbidity. Adequate treatment with anticoagulants reduces the risk of stroke by 60 %. Early detection and treatment of atrial fibrillation could prevent strokes. Atrial fibrillation is often asymptomatic and/or paroxysmal. Case-finding with pulse palpation is an effective screening method, but new methods for detecting atrial fibrillation have been developed. To detect paroxysmal atrial fibrillation ambulatory rhythm recording is needed. This study aims to determine the yield of case-finding for atrial fibrillation in primary care patients. In addition, it will determine the diagnostic accuracy of three different case-finding methods. METHODS/
designIn a multicenter cluster randomised controlled trial, we compare an enhanced protocol for case-finding of atrial fibrillation with usual care. We recruit 96 practices. We include primary care patients aged 65 years or older not diagnosed with atrial fibrillation. Within each practice, a cluster of 200 patients is randomly selected and marked. Practices are evenly randomised to intervention or control group. The allocation is not blinded. When a marked patient visits an intervention practice, the case-finding protocol starts, consisting of: pulse palpation, sphygmomanometer with automated atrial fibrillation detection and handheld single-lead electrocardiogram (ECG). All patients with at least 1 positive test and a random sample of patients with negative tests receive a 12-lead ECG. Patients without atrial fibrillation on the 12-lead ECG, undergo additional continuous Holter and use the handheld single-lead ECG at home for 2 weeks. Control practices provide care as usual. The study runs for 1 year in each cluster. The primary outcomes are the difference in detection rate of new AF between intervention and control practices and the accuracy of three index tests to diagnose AF. We are currently recruiting practices. The 'Detecting and Diagnosing Atrial Fibrillation' (D2AF) study will determine the yield of an intensive case-finding strategy and the diagnostic accuracy of three index tests to diagnose atrial fibrillation in a primary care setting.
trial registrationNetherlands Trial Register: NTR4914 , registered on the 25 of November 2014.
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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.