Evidence map›Paper›PMID 29649277›Full record

ArticlePloS one2018

Estimated prevalence of undiagnosed atrial fibrillation in the United States.

Mintu P Turakhia, Jason Shafrin, Katalin Bognar, Jeffrey Trocio, Younos Abdulsattar, Daniel Wiederkehr, Dana P Goldman

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
93citing papers in PubMed, 3 pooled it
–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

93 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  12. Artificial Intelligence-Enhanced Electrocardiography for Predicting Paroxysmal Atrial Fibrillation From Sinus Rhythm: Impact of Data Integration Across Institutions and Devices.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2026
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  18. Multidiagnostic chest-worn patch to detect obstructive sleep apnea and cardiac arrhythmias.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025
    Article
  19. Domestic water hardness, genetic risk, and distinct phenotypes of cardiovascular disease.Environmental health : a global access science source · 2025
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  20. Review

33 more citing papers are in PubMed but not listed here.

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

7 authors.

Mintu P TurakhiaStanford University School of Medicine, Stanford, California, United States of America.
Jason ShafrinPrecision Health Economics, Los Angeles, California, United States of America.
Katalin BognarPrecision Health Economics, Los Angeles, California, United States of America.
Jeffrey TrocioPfizer Inc., New York, New York, United States of America.
Younos AbdulsattarPfizer Inc., New York, New York, United States of America.
Daniel WiederkehrPfizer Inc., New York, New York, United States of America.
Dana P GoldmanLeonard D. Schaeffer Center for Health Policy & Economics, University of Southern California, Los Angeles, California, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAs atrial fibrillation (AF) is often asymptomatic, it may remain undiagnosed until or even after development of complications, such as stroke. Consequently the observed prevalence of AF may underestimate total disease burden.

methodsTo estimate the prevalence of undiagnosed AF in the United States, we performed a retrospective cohort modeling study in working age (18-64) and elderly (≥65) people using commercial and Medicare administrative claims databases. We identified patients in years 2004-2010 with incident AF following an ischemic stroke. Using a back-calculation methodology, we estimated the prevalence of undiagnosed AF as the ratio of the number of post-stroke AF patients and the CHADS2-specific stroke probability for each patient, adjusting for age and gender composition based on United States census data.

resultsThe estimated prevalence of AF (diagnosed and undiagnosed) was 3,873,900 (95%CI: 3,675,200-4,702,600) elderly and 1,457,100 (95%CI: 1,218,500-1,695,800) working age adults, representing 10.0% and 0.92% of the respective populations. Of these, 698,900 were undiagnosed: 535,400 (95%CI: 331,900-804,400) elderly and 163,500 (95%CI: 17,700-400,000) working age adults, representing 1.3% and 0.09% of the respective populations. Among all undiagnosed cases, 77% had a CHADS2 score ≥1, and 56% had CHADS2 score ≥2.

conclusionsUsing a back-calculation approach, we estimate that the total AF prevalence in 2009 was 5.3 million of which 0.7 million (13.1% of AF cases) were undiagnosed. Over half of the modeled population with undiagnosed AF was at moderate to high risk of stroke.

Indexed as

Data CollectionAdolescentAdultAgedAged, 80 and overAnticoagulantsAtrial FibrillationFemaleHumansMaleMedicareMiddle AgedPrevalenceProbabilityRetrospective StudiesRisk AssessmentAnticoagulants

Identifiers

PMID29649277
PMCPMC5896911

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Registered trials

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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.