Evidence map›Paper›PMID 36855960›Full record

ArticleClinical cardiology2023

Contemporary prevalence estimates of undiagnosed and diagnosed atrial fibrillation in the United States.

Mintu P Turakhia, Jennifer D Guo, Allison Keshishian, Rachel Delinger, Xiaoxi Sun, Mauricio Ferri, Cristina Russ, Matthew Cato, Huseyin Yuce, Patrick Hlavacek

Open access · goldAbstract read
In one paragraph

Article in Clinical cardiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 3 pooled it
10.3field-weighted citation impact, top 1% 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

37 citing papers in PubMed, 3 syntheses or guidelines pooled it, 47 citations in OpenAlex.

  1. Pooled it
  2. Guideline
  3. Guideline
  4. Trial
  5. Trial
  6. Trial
  7. NovelBiomedicines · 2026
    Article
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  11. Article
  12. Article
  13. Rare TruncatingGenes · 2026
    Article
  14. Article
  15. Pulsed field ablation: focused on atrial fibrillation ablation.The Korean journal of internal medicine · 2026
    Review
  16. Metabolic and Inflammatory Mechanisms Driving Atrial Fibrillation.Annual review of pharmacology and toxicology · 2026
    Review
  17. Article
  18. Discovery ofDiagnostics (Basel, Switzerland) · 2025
    Article
  19. Article
  20. 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

10 authors at 5 institutions in 1 country.

Mintu P TurakhiaStanford University School of Medicine, Stanford, California, USA.ORCID http://orcid.org/0000-0001-8025-0904
Jennifer D GuoBristol Myers Squibb, Lawrenceville, New Jersey, USA.
Allison KeshishianSTATinMED, LLC, Dallas, Texas, USA.
Rachel DelingerSTATinMED, LLC, Dallas, Texas, USA.
Xiaoxi SunSTATinMED, LLC, Dallas, Texas, USA.
Mauricio FerriBristol Myers Squibb, Lawrenceville, New Jersey, USA.
Cristina RussPfizer, New York City, New York, USA.
Matthew CatoPfizer, New York City, New York, USA.
Huseyin YuceNew York City College of Technology, City University of New York, New York City, New York, USA.
Patrick HlavacekPfizer, New York City, New York, USA.
Pfizer (United States) · USSTATinMED (United States) · USBristol-Myers Squibb (United States) · USCity University of New York · USStanford University · US

Funding

Bristol-Myers SquibbPfizer
6 · The paper itself

Abstract

backgroundAtrial fibrillation (AF) prevalence estimates vary and have been based on cohorts with clinically established or diagnosed disease. Undiagnosed AF prevalence estimates are less certain as they are based on nongeneralizable convenience samples. HYPOTHESIS: Because AF is often asymptomatic, it my remain undiagnosed until the development of complications such as stroke or heart failure. Consequently, the observed prevalence of diagnosed AF from the literature may underestimate total disease burden. We therefore sought to estimate the total prevalence of both diagnosed and undiagnosed AF.

methodsWe performed a retrospective cohort study from 2012 to 2017 using data from five US medical claims data sets. Undiagnosed AF prevalence was estimated based on the observed incidence of ischemic stroke, systemic embolism (SE), and AF incidence after a stroke/SE. The diagnosed AF cohort included AF patients between Q1 2014 and Q3 2015. The undiagnosed AF cohort were patients with assumed undiagnosed AF in the year before a stroke/SE and who were newly diagnosed with AF in the 3-month poststroke/SE. Stroke/SE incidence was calculated among all AF patients and the ratio of number of undiagnosed AF patients to stroke rate was created. Age- and sex-adjusted estimates were stratified by period of assumed undiagnosed AF before poststroke/SE AF diagnosis (1 or 2 years).

resultsThe estimated US prevalence of AF (diagnosed and undiagnosed) in Q3 2015 was 5 628 000 cases, of which 591 000 cases (11%) were undiagnosed. The assumed 2-year undiagnosed AF prevalence was 23% (1 531 000) of the total prevalent patients with AF (6 568 000). Undiagnosed (vs. diagnosed) AF patients were older and had higher CHA2DS2-VASc scores. Of undiagnosed AF, 93% had CHA2DS2-VASc ≥2 and met OAC criteria.

conclusionsThese contemporary estimates demonstrate the high prevalence of undiagnosed AF in the United States. Undiagnosed AF patients are composed of primarily elderly individuals who if diagnosed, would meet criteria for stroke prevention therapy.

Indexed as

Atrial FibrillationStrokeAgedAnticoagulantsHumansPrevalenceRetrospective StudiesRisk AssessmentRisk FactorsUnited StatesAnticoagulantsanticoagulantatrial fibrillationprevalencestrokesystemic embolism

Identifiers

PMID36855960
PMCPMC10189075
OpenAlexW4322719767

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.