Evidence map›Paper›PMID 34476979›Full record

ArticleJournal of the American Heart Association2021

Comparative Clinical Effectiveness of Population-Based Atrial Fibrillation Screening Using Contemporary Modalities: A Decision-Analytic Model.

Shaan Khurshid, Wanyi Chen, Daniel E Singer, Steven J Atlas, Jeffrey M Ashburner, Jin G Choi, Chin Hur, Patrick T Ellinor, David D McManus, Jagpreet Chhatwal and 1 more

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Cost-effectiveness of atrial fibrillation screening programmes across European nations.European heart journal. Quality of care & clinical outcomes · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Article
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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

11 authors.

Shaan KhurshidCardiovascular Research Center and Cardiac Arrhythmia Service Division of Cardiology Massachusetts General Hospital Boston MA.ORCID 0000-0002-2840-4539
Wanyi ChenInstitute for Technology Assessment Massachusetts General Hospital Boston MA.
Daniel E SingerDivision of General Internal Medicine Massachusetts General Hospital MA.ORCID 0000-0001-6145-4848
Steven J AtlasDivision of General Internal Medicine Massachusetts General Hospital MA.
Jeffrey M AshburnerDivision of General Internal Medicine Massachusetts General Hospital MA.
Jin G ChoiUniversity of Chicago Pritzker School of Medicine Chicago IL.
Chin HurDepartment of Medicine Columbia University New York NY.
Patrick T EllinorCardiovascular Research Center and Cardiac Arrhythmia Service Division of Cardiology Massachusetts General Hospital Boston MA.ORCID 0000-0002-2067-0533
David D McManusDepartment of Medicine University of Massachusetts Medical School Worcester MA.
Jagpreet ChhatwalInstitute for Technology Assessment Massachusetts General Hospital Boston MA.
Steven A LubitzCardiovascular Research Center and Cardiac Arrhythmia Service Division of Cardiology Massachusetts General Hospital Boston MA.ORCID 0000-0002-9599-4866

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
RURAL: Risk Underlying Rural Areas Longitudinal Cohort StudyU01HL146382 · NHLBI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI JUDD, SUZANNE E, RAMACHANDRAN, VASAN · 2019 to 2025
$42.5M
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
MULTIDISCIPLINARY RESEARCH TRAINING IN CARDIOLOGYT32HL007208 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI Patrick Thomas Ellinor, David E Sosnovik · 1985 to 2026
$16.1M
Optimizing Atrial Fibrillation Management in CKDR01HL142834 · NHLBI · UNIVERSITY OF WASHINGTON · PI BANSAL, NISHA, GO, ALAN S · 2019 to 2022
$3.4M
Genomics of Cardiac ArrhythmiasR01HL139731 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI ELLINOR, PATRICK THOMAS · 2018 to 2022
$3.3M
Detecting bleeding events using EHRs for prediction in AfibR01HL137794 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI MCMANUS, DAVID D., YU, HONG · 2018 to 2021
$3.3M
Systematic Assessment of Geriatric Elements in Atrial Fibrillation (SAGE-AF)R01HL126911 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI MCMANUS, DAVID D., SACZYNSKI, JANE STEELE · 2016 to 2019
$3.2M
Community Surveillance of Coronary Heart DiseaseR01HL135219 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI GOLDBERG, ROBERT JOEL, YU, HONG · 2017 to 2020
$3.2M
AFGen Consortium: Atrial Fibrillation Genomics to Functional AnalysesR01HL128914 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BENJAMIN, EMELIA J., ELLINOR, PATRICK THOMAS · 2015 to 2018
$3.1M
Smartwatch Monitoring for Atrial Fibrillation After StrokeR01HL137734 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI CHON, KI H, MCMANUS, DAVID D. · 2018 to 2021
$3.1M
Automated detection and prediction of atrial fibrillation during sepsisR01HL136660 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI WALKEY, ALLAN J. · 2017 to 2020
$2.2M
NHLBI NIH HHS K01 HL148506NHLBI NIH HHS K24 HL105780NHLBI NIH HHS R01 HL092577NHLBI NIH HHS R01 HL126911NHLBI NIH HHS R01 HL128914NHLBI NIH HHS R01 HL135219NHLBI NIH HHS R01 HL136660NHLBI NIH HHS R01 HL137734NHLBI NIH HHS R01 HL137794NHLBI NIH HHS R01 HL139731NHLBI NIH HHS R01 HL142834NHLBI NIH HHS T32 HL007208NHLBI NIH HHS U01 HL146382
6 · The paper itself

Abstract

Background Atrial fibrillation (AF) screening is endorsed by certain guidelines for individuals aged ≥65 years. Yet many AF screening strategies exist, including the use of wrist-worn wearable devices, and their comparative effectiveness is not well-understood. Methods and Results We developed a decision-analytic model simulating 50 million individuals with an age, sex, and comorbidity profile matching the United States population aged ≥65 years (ie, with a guideline-based AF screening indication). We modeled no screening, in addition to 45 distinct AF screening strategies (comprising different modalities and screening intervals), each initiated at a clinical encounter. The primary effectiveness measure was quality-adjusted life-years, with incident stroke and major bleeding as secondary measures. We defined continuous or nearly continuous modalities as those capable of monitoring beyond a single time-point (eg, patch monitor), and discrete modalities as those capable of only instantaneous AF detection (eg, 12-lead ECG). In total, 10 AF screening strategies were effective compared with no screening (300-1500 quality-adjusted life-years gained/100 000 individuals screened). Nine (90%) effective strategies involved use of a continuous or nearly continuous modality such as patch monitor or wrist-worn wearable device, whereas 1 (10%) relied on discrete modalities alone. Effective strategies reduced stroke incidence (number needed to screen to prevent a stroke: 3087-4445) but increased major bleeding (number needed to screen to cause a major bleed: 1815-4049) and intracranial hemorrhage (number needed to screen to cause intracranial hemorrhage: 7693-16 950). The test specificity was a highly influential model parameter on screening effectiveness. Conclusions When modeled from a clinician-directed perspective, the comparative effectiveness of population-based AF screening varies substantially upon the specific strategy used. Future screening interventions and guidelines should consider the relative effectiveness of specific AF screening strategies.

Indexed as

Atrial FibrillationStrokeAgedCost-Benefit AnalysisHumansIntracranial HemorrhagesMass ScreeningTreatment Outcomeatrial fibrillationcost‐effectivenessmicrosimulationscreening

Identifiers

PMID34476979
PMCPMC8649502

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.