Evidence map›Paper›PMID 40357667›Full record

ArticleJournal of the American Heart Association2025

Integration of Left Atrial Function Assessment, Genetic Risk, and Clinical Risk Factors Improves Prediction of Incident Atrial Fibrillation.

Hanjin Park, Daehoon Kim, Eunsun Jang, Hee T Yu, Tae-Hoon Kim, Jae-Sun Uhm, Jung-Hoon Sung, Hui-Nam Pak, Moon-Hyoung Lee, Pil-Sung Yang and 1 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Hanjin ParkDivision of Cardiology, Department of Internal Medicine Yonsei University College of Medicine Seoul Republic of Korea.ORCID 0000-0002-7965-532X
Daehoon KimDivision of Cardiology, Department of Internal Medicine Yonsei University College of Medicine Seoul Republic of Korea.ORCID 0000-0002-9736-450X
Eunsun JangDivision of Cardiology, Department of Internal Medicine Yonsei University College of Medicine Seoul Republic of Korea.ORCID 0000-0001-6991-4765
Hee T YuDivision of Cardiology, Department of Internal Medicine Yonsei University College of Medicine Seoul Republic of Korea.ORCID 0000-0002-6835-4759
Tae-Hoon KimDivision of Cardiology, Department of Internal Medicine Yonsei University College of Medicine Seoul Republic of Korea.ORCID 0000-0003-4200-3456
Jae-Sun UhmDivision of Cardiology, Department of Internal Medicine Yonsei University College of Medicine Seoul Republic of Korea.ORCID 0000-0002-1611-8172
Jung-Hoon SungDivision 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 Yonsei University College of Medicine Seoul Republic of Korea.ORCID 0000-0002-3256-3620
Moon-Hyoung LeeDivision of Cardiology, Department of Internal Medicine Yonsei University College of Medicine Seoul Republic of Korea.ORCID 0000-0002-7268-0741
Pil-Sung YangDivision of Cardiology, CHA Bundang Medical Center CHA University Seongnam Republic of Korea.ORCID 0000-0002-6552-1742
Boyoung JoungDivision of Cardiology, Department of Internal Medicine 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

backgroundIntegration of imaging, genetic, and clinical markers might improve risk assessment of atrial fibrillation (AF). We explored whether the addition of left atrial (LA) function and polygenic risk score (PRS) to a clinical risk score improves risk prediction of AF.

methodsA total of 36 919 individuals without AF who were assessed for LA emptying fraction (evaluated by cardiac magnetic resonance imaging) and PRS were analyzed from the UK Biobank imaging enhancement.

resultsOver a median of 2.9 (2.0-4.2) years, 535 individuals developed incident AF. Per-SD decrease in LA emptying fraction and increase in PRS was associated with a hazard ratio of 2.13 (95% CI, 1.99-2.27) and 1.65 (95% CI, 1.52-1.79) for incident AF, respectively. C-index increase when LA emptying fraction was added to CHARGE-AF (Cohorts for Heart and Aging Research in Genomic Epidemiology Atrial Fibrillation) was 0.036 (95% CI, 0.013-0.057) and when joint LA emptying fraction and PRS was added to CHARGE-AF was 0.057 (95% CI, 0.034-0.081). At a 3-year risk threshold of 3%, the predicted net benefit was 2.48 per 1000 people for a model including LA emptying fraction, PRS, and CHARGE-AF compared with 0.30 per 1000 people for a model including CHARGE-AF only. In addition, a 6.5-fold risk gradient was observed for AF-mediated stroke or other systemic embolism after accounting for LA emptying fraction and PRS.

conclusionsIntegration of LA emptying fraction and PRS significantly improved risk prediction of incident AF when added to CHARGE-AF.

Indexed as

Atrial FibrillationAtrial Function, LeftHeart AtriaAgedFemaleGenetic Predisposition to DiseaseHumansIncidenceMagnetic Resonance ImagingMagnetic Resonance Imaging, CineMaleMiddle AgedMultifactorial InheritancePredictive Value of TestsRisk AssessmentRisk Factorsatrial fibrillationatrial myopathypolygenic risk scorestrokesystemic embolism

Identifiers

PMID40357667
PMCPMC12184605

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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.