Evidence map›Paper›PMID 40079341›Full record

ArticleJournal of the American Heart Association2025

Clinical and Genetic Risk Factors Predict Atrial Fibrillation on the Basis of Hypertrophic Cardiomyopathy.

Young Shin Lee, Pil-Sung Yang, Eunsun Jang, Daehoon Kim, Hee Tae Yu, Tae-Hoon Kim, Jae-Sun Uhm, Jung-Hoon Sung, Hui-Nam Pak, Moon-Hyoung Lee and 2 more

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Atrial electrophysiology in hypertrophic cardiomyopathy: current insights and knowledge gaps.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2026
    Review
  2. 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.

Young Shin LeeDivision of Cardiology Department of Internal Medicine Kyung Hee University Medical Center Seoul Korea.ORCID 0000-0002-8460-1959
Pil-Sung YangDepartment of Cardiology CHA Bundang Medical Center CHA University Seongnam Republic of Korea.ORCID 0000-0002-6552-1742
Eunsun JangDivision of Cardiology Department of Internal Medicine Severance Cardiovascular Hospital Yonsei University College of Medicine Seoul Republic of Korea.ORCID 0000-0001-6991-4765
Daehoon KimDivision of Cardiology Department of Internal Medicine Severance Cardiovascular Hospital Yonsei University College of Medicine Seoul Republic of Korea.
Hee Tae YuDivision of Cardiology Department of Internal Medicine Severance Cardiovascular Hospital Yonsei University College of Medicine Seoul Republic of Korea.ORCID 0000-0002-6835-4759
Tae-Hoon KimDivision of Cardiology Department of Internal Medicine Severance Cardiovascular Hospital Yonsei University College of Medicine Seoul Republic of Korea.ORCID 0000-0003-4200-3456
Jae-Sun UhmDivision of Cardiology Department of Internal Medicine Severance Cardiovascular Hospital Yonsei University College of Medicine Seoul Republic of Korea.ORCID 0000-0002-1611-8172
Jung-Hoon SungDepartment of Cardiology CHA Bundang Medical Center CHA University Seongnam Republic of Korea.ORCID 0000-0003-3515-5283
Hui-Nam PakDivision of Cardiology Department of Internal Medicine Severance Cardiovascular Hospital Yonsei University College of Medicine Seoul Republic of Korea.ORCID 0000-0002-3256-3620
Moon-Hyoung LeeDivision of Cardiology Department of Internal Medicine Severance Cardiovascular Hospital Yonsei University College of Medicine Seoul Republic of Korea.ORCID 0000-0002-7268-0741
Jin-Bae KimDivision of Cardiology Department of Internal Medicine Kyung Hee University Medical Center Seoul Korea.
Boyoung JoungDivision of Cardiology Department of Internal Medicine Severance Cardiovascular Hospital Yonsei University College of Medicine Seoul Republic of Korea.ORCID 0000-0001-9036-7225

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClinical and genetic predispositions are significant in predicting atrial fibrillation (AF); however, their role in patients with hypertrophic cardiomyopathy (HCM) remains unclear. This study aims to elucidate the impact of clinical and genetic risk factors on the development of AF in patients with and without HCM. METHODS AND

resultsThis retrospective analysis involved data from the UK Biobank cohort. Participants were divided into 3 groups based on their validated polygenic risk score for AF: the bottom 10% as low risk, the top 10% as high risk, and the rest as intermediate risk. We assessed the incidence of AF and cardiovascular complications and analyzed its predictors, including genetic risk. We examined 1180 patients with HCM (mean age, 61.1±7.1; 63.0% men) and 476 238 participants without HCM (mean age, 57.0±8.1; 45.3% men). During the 11.6-year follow-up period, the age- and sex-adjusted AF incidence rates for the low, intermediate, and high genetic risk groups were 2.4, 3.6, and 5.4 per 100 person-years in participants with HCM and 0.2, 0.5, and 1.0 per 100 person-years in participants without HCM, respectively. Genetic risk, evaluated as a continuous variable using polygenic risk score, was a less significant predictor of AF in the HCM group (hazard ratio [HR], 1.35 [95% CI, 1.21-1.49]) than in non-HCM group (HR, 1.57 [95% CI, 1.56-1.59];

conclusionsGenetic predisposition is associated with the development of AF and cardiovascular complications in people with and without HCM; this association was weaker in the HCM group.

Indexed as

Atrial FibrillationCardiomyopathy, HypertrophicAgedFemaleGenetic Predisposition to DiseaseHumansIncidenceMaleMiddle AgedMultifactorial InheritanceRetrospective StudiesRisk AssessmentRisk FactorsUnited Kingdomatrial fibrillationhypertrophic cardiomyopathypolygenic risk scoreUK Biobank

Identifiers

PMID40079341
PMCPMC12132631

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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.