ReviewCirculation research2020
Emerging Technologies for Identifying Atrial Fibrillation.
Review in Circulation research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 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
40 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Systematic Review on the Effectiveness of Machine Learning in the Detection of Atrial Fibrillation.Current cardiology reviews · 2025Pooled it
- Automated interpretations of single-lead electrocardiograms predict incident atrial fibrillation: The VITAL-AF trial.Heart rhythm · 2024Trial
- Accuracy and variability of cardiologist interpretation of single lead electrocardiograms for atrial fibrillation: The VITAL-AF trial.American heart journal · 2023Trial
- Symptom severity assessment in patients with atrial fibrillation after catheter ablation using a smartphone application.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 · 2026Article
- Heart Failure With Mildly Reduced Ejection Fraction: A Call for a Precision Medicine Approach.JACC. Advances · 2026Review
- Diagnostic Accuracy of Wearable ECG Devices for Atrial Fibrillation and ST-Segment Changes: A Systematic Review.Diagnostics (Basel, Switzerland) · 2025Review
- Atrial fibrillation and flutter as global drivers of heart failure: Burden and longitudinal trends over three decades.ESC heart failure · 2025Article
- Atrial Fibrillation Treatment Pathway in the Emergency Department Reduces Median 30-Day Health Service Charges.Journal of the American Heart Association · 2025Article
- Reliability and validity of a novel single-lead portable electrocardiogram device for pregnant women: a comparative study.BMC medical informatics and decision making · 2025Article
- Left atrial size and echocardiographic diastolic parameters as predictors of incident atrial fibrillation in older hospitalized patients.Aging clinical and experimental research · 2025Article
- An Evaluation of Neuron-Specific Enolase as a Biomarker of Neurological Impact in Pacemaker-Implanted Patients with Atrial High-Rate Episodes: An Observational Study from Turkey.Medicina (Kaunas, Lithuania) · 2025Observational
- Screening and diagnosis of atrial fibrillation using wearable devices.The Korean journal of internal medicine · 2025Review
- Wearables and Atrial Fibrillation: Advances in Detection, Clinical Impact, Ethical Concerns, and Future Perspectives.Cureus · 2025Review
- Episode-level and clinical characterization of asymptomatic atrial fibrillation events.Journal of cardiovascular electrophysiology · 2024Article
- A Patient-Centered Approach to Cardiac Monitoring After Cryptogenic Stroke: A Review.Stroke (Hoboken, N.J.) · 2024Review
- Article
- Accuracy, Usability, and Adherence of Smartwatches for Atrial Fibrillation Detection in Older Adults After Stroke: Randomized Controlled Trial.JMIR cardio · 2023Article
- Review
- Screening for Atrial Fibrillation Using Digital Health: Moving From Promises to Reality.JACC. Advances · 2023Article
- Design and Implementation of an Atrial Fibrillation Detection Algorithm on the ARM Cortex-M4 Microcontroller.Sensors (Basel, Switzerland) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Atrial fibrillation (AF) is a major cause of morbidity and mortality globally, and much of this is driven by challenges in its timely diagnosis and treatment. Existing and emerging mobile technologies have been used to successfully identify AF in a variety of clinical and community settings, and while these technologies offer great promise for revolutionizing AF detection and screening, several major barriers may impede their effectiveness. The unclear clinical significance of device-detected AF, potential challenges in integrating patient-generated data into existing healthcare systems and clinical workflows, harm resulting from potential false positives, and identifying the appropriate scope of population-based screening efforts are all potential concerns that warrant further investigation. It is crucial for stakeholders such as healthcare providers, researchers, funding agencies, insurers, and engineers to actively work together in fulfilling the tremendous potential of mobile technologies to improve AF identification and management on a population level.
Indexed as
Identifiers
What Socratic holds
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 Socratic graph.