Evidence map›Paper›PMID 37451355›Full record

Trial reportAmerican heart journal2023

Accuracy and variability of cardiologist interpretation of single lead electrocardiograms for atrial fibrillation: The VITAL-AF trial.

Daniel C Pipilas, Shaan Khurshid, Steven J Atlas, Jeffrey M Ashburner, Ana T Lipsanopoulos, Leila H Borowsky, Wyliena Guan, Patrick T Ellinor, David D McManus, Daniel E Singer and 2 more

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in American heart journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 18% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Trial
  2. Interrater agreement in atrial fibrillation diagnosis using one-week single-lead patch ECG monitoring: findings from the NORSCREEN trial.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 · 2026
    Article
  3. Review
  4. Reliability of single-lead electrocardiogram interpretation to detect atrial fibrillation: insights from the SAFER feasibility study.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 · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 1 country.

Daniel C PipilasDivision of Cardiology, Massachusetts General Hospital, Boston, MA; Harvard Medical School, Boston, MA.
Shaan KhurshidDivision of Cardiology, Massachusetts General Hospital, Boston, MA; Harvard Medical School, Boston, MA; Demoulas Center for Cardiac Arrhythmias and Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA.
Steven J AtlasHarvard Medical School, Boston, MA; Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA.
Jeffrey M AshburnerHarvard Medical School, Boston, MA; Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA.
Ana T LipsanopoulosDivision of Cardiology, Massachusetts General Hospital, Boston, MA.
Leila H BorowskyDivision of General Internal Medicine, Massachusetts General Hospital, Boston, MA.
Wyliena GuanUniversity of North Carolina, Chapel Hill, NC.
Patrick T EllinorDivision of Cardiology, Massachusetts General Hospital, Boston, MA; Harvard Medical School, Boston, MA; Demoulas Center for Cardiac Arrhythmias and Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA.
David D McManusDepartment of Medicine, University of Massachusetts Medical School, Worcester, MA.
Daniel E SingerHarvard Medical School, Boston, MA; Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA.
Yuchiao ChangHarvard Medical School, Boston, MA; Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA.
Steven A LubitzHarvard Medical School, Boston, MA; Demoulas Center for Cardiac Arrhythmias and Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA. Electronic address: slubitz@mgh.harvard.edu.
Harvard University · USMassachusetts General Hospital · USUniversity of Massachusetts Chan Medical School · USUniversity of North Carolina at Chapel Hill · US

Funding

The Center for Advancing Point of Care in Heart, Lung, Blood and Sleep DiseasesU54HL143541 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI Nathaniel Scott Hafer · 2018 to 2026
$141.0M
IDENTIFICATION OF COMMON GENETIC VARIANTS FOR ATRIAL FIBRILLATION AND PR INTERVALR01HL092577 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI BENJAMIN, EMELIA J., ELLINOR, PATRICK THOMAS · 2009 to 2025
$20.6M
A phase I trial of AdKCNH2-G628S gene therapy for post-op atrial fibrillationR33HL158541 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI DONAHUE, J KEVIN, MCMANUS, DAVID D. · 2022 to 2023
$3.4M
SUPPORT-AF IVR01HL155343 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI KAPOOR, ALOK, MCMANUS, DAVID D. · 2021 to 2025
$3.4M
Genomics of Cardiac ArrhythmiasR01HL139731 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI ELLINOR, PATRICK THOMAS · 2018 to 2022
$3.3M
Using Electrocardiogram Genetics to Inform Arrhythmia RiskR01HL157635 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI ELLINOR, PATRICK THOMAS, MIRSHAHI, TOORAJ · 2022 to 2025
$2.9M
FHS-NEXT - Framingham Novel EXam using TechnologyR01HL141434 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BENJAMIN, EMELIA J., MCMANUS, DAVID D. · 2019 to 2022
$2.5M
Mechanistic Evaluations of ILC2 Cells for the Treatment/Prevention of GVHDR01HL139730 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SERODY, JONATHAN S. · 2017 to 2020
$2.2M
Identifying primary care patients at increased risk of atrial fibrillation for screening interventionsK01HL148506 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI ASHBURNER, JEFFREY M · 2019 to 2023
$887k
Electrocardiogram-based deep learning and decision analysis to improve atrial fibrillation risk estimationK23HL169839 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI Shaan Khurshid · 2023 to 2026
$860k
NHLBI NIH HHS K01 HL148506NHLBI NIH HHS K23 HL169839NHLBI NIH HHS R01 HL092577NHLBI NIH HHS R01 HL139730NHLBI NIH HHS R01 HL139731NHLBI NIH HHS R01 HL141434NHLBI NIH HHS R01 HL155343NHLBI NIH HHS R01 HL157635NHLBI NIH HHS R33 HL158541NHLBI NIH HHS U54 HL143541
6 · The paper itself

Abstract

backgroundScreening for atrial fibrillation (AF) using consumer-based devices capable of producing a single lead electrocardiogram (1L ECG) is increasing. There are limited data on the accuracy of physician interpretation of these tracings. The goal of this study is to assess the sensitivity, specificity, confidence, and variability of cardiologist interpretation of point-of-care 1L ECGs.

methodsFifteen cardiologists reviewed point-of-care handheld 1L ECGs collected from patients aged 65 years or older enrolled in the VITAL-AF clinical trial [NCT035115057] who underwent cardiac rhythm assessments with a 1L ECG using an AliveCor KardiaMobile device. Random sampling of 1L ECGs for cardiologist review was stratified by the AliveCor algorithm interpretation. A 12L ECG performed on the same day for clinical purposes was used as the gold standard. Cardiologists each reviewed a common sample of 200 1L ECG tracings and completed a survey associated with each tracing. Cardiologists were blinded to both the AliveCor algorithm and same day 12L ECG interpretation. For each tracing, study cardiologists were asked to assess the rhythm (sinus rhythm, AF, unclassifiable), report their assessment of the quality of the tracing, and rate their confidence in rhythm interpretation. The outcomes included the sensitivity, specificity, variability, and confidence in physician interpretation. Variables associated with each measure were identified using multivariable regression.

resultsThe average sensitivity for AF was 77.4% (range 50%-90.6%, standard deviation [SD]=11.4%) and the average specificity was 73.0% (range 41.3%-94.6%, SD = 15.4%). The mean variability was 30.8% (range 0%-76.2%, SD = 23.2%). The average reviewer confidence of 1L ECG rhythm assessment was 3.6 out of 5 (range 2.5-4.2, SD = 0.6). Patient and tracing factors associated with sensitivity, specificity, variability, and confidence were identified and included age, body mass index, and presence of artifact.

conclusionCardiologist interpretation of point-of-care handheld 1L ECGs has modest diagnostic sensitivity and specificity with substantial variability for AF classification despite high confidence. Variability in cardiologist interpretation of 1L ECGs highlights the importance of confirmatory testing for diagnosing AF.

Indexed as

Atrial FibrillationCardiologistsElectrocardiographyAgedAlgorithmsFemaleHumansMaleReproducibility of ResultsSensitivity and Specificity

Identifiers

PMID37451355
PMCPMC11194686
OpenAlexW4384009041

What OpenQuestion holds

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Registered trials

None linked

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.