ReviewTexas Heart Institute journal2022
Using the Apple Watch to Record Multiple-Lead Electrocardiograms in Detecting Myocardial Infarction: Where Are We Now?
Review in Texas Heart Institute journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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
11 citing papers in PubMed.
- Wearable Electrocardiogram Technologies for the Early Detection of Acute Coronary Syndromes.JACC. Asia · 2026Review
- Advancing conversational diagnostic AI with multimodal reasoning.Nature medicine · 2026Article
- Making Sense of Shoulder Exercise: Measuring the Accuracy of an Artificial Intelligence Model to Classify Shoulder Exercise via Wearable Sensors Among People With and Without Rotator Cuff Tendinopathy.European journal of sport science · 2026Article
- Smartwatch Locates Myocardial Lesion in Stable Angina.JACC. Case reports · 2025Article
- Diagnostic Accuracy of Apple Watch Electrocardiogram for Atrial Fibrillation: A Systematic Review and Meta-Analysis.JACC. Advances · 2025Article
- Data Interoperability for Ambulatory Monitoring of Cardiovascular Disease: A Scientific Statement From the American Heart Association.Circulation. Genomic and precision medicine · 2024Article
- Detecting QT prolongation from a single-lead ECG with deep learning.PLOS digital health · 2024Article
- Remote, automatic, digital preanesthetic evaluation - are we there yet?Anaesthesiology intensive therapy · 2024Review
- Patent and Bibliometric Analysis of the Scientific Landscape of the Use of Pulse Oximeters and Their Prospects in the Field of Digital Medicine.Healthcare (Basel, Switzerland) · 2023Article
- Feasibility of patch-type wireless 12-lead electrocardiogram in laypersons.Scientific reports · 2023Article
- Early Changes in Acute Myocardial Infarction in Pigs: Achieving Early Detection with Wearable Devices.Diagnostics (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
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although the outcome after myocardial infarction depends on the time to treatment, a delay between symptom onset and treatment is common. Apple Watch, a popular wearable device, provides the ability to perform an electrocardiogram. We review the progress made in using the Apple Watch to record multiple electrocardiogram leads for diagnosing myocardial infarction. Although the data are encouraging, many limitations remain, and more research is needed. Nevertheless, the Apple Watch could eventually serve as a self-check tool for patients who have chest pains or other symptoms of myocardial infarction, thus substantially decreasing the time to treatment and improving the outcome after myocardial infarction.
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Identifiers
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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.