Evidence map›Paper›PMID 39575717›Full record

ArticleJournal of the American Heart Association2024

Genetic Determinants of Left Atrial Function Are Associated With Stroke.

Oliver B Vad, Christian Paludan-Müller, Søren Z Diederichsen, Emily A McKaige, Laia M Monfort, Pia R Lundegaard, Litten Bertelsen, Laura Andreasen, Jesper H Svendsen, Morten S Olesen

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Atrial cardiomyopathy: markers and outcomes.European heart journal · 2026
    Article
  5. Review
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.

Oliver B VadDepartment of Cardiology, The Heart Centre Copenhagen University Hospital - Rigshospitalet Copenhagen Denmark.ORCID 0000-0001-8416-0543
Christian Paludan-MüllerDepartment of Cardiology, The Heart Centre Copenhagen University Hospital - Rigshospitalet Copenhagen Denmark.ORCID 0000-0002-7724-544X
Søren Z DiederichsenDepartment of Cardiology, The Heart Centre Copenhagen University Hospital - Rigshospitalet Copenhagen Denmark.ORCID 0000-0002-9687-0857
Emily A McKaigeDepartment of Biomedical Sciences, Faculty of Health and Medical Science University of Copenhagen Denmark.ORCID 0000-0002-3313-7535
Laia M MonfortDepartment of Cardiology, The Heart Centre Copenhagen University Hospital - Rigshospitalet Copenhagen Denmark.ORCID 0000-0002-7170-481X
Pia R LundegaardDepartment of Biomedical Sciences, Faculty of Health and Medical Science University of Copenhagen Denmark.ORCID 0000-0002-8284-1844
Litten BertelsenDepartment of Cardiology, The Heart Centre Copenhagen University Hospital - Rigshospitalet Copenhagen Denmark.ORCID 0000-0001-7852-6537
Laura AndreasenDepartment of Cardiology, The Heart Centre Copenhagen University Hospital - Rigshospitalet Copenhagen Denmark.ORCID 0000-0002-4732-4921
Jesper H SvendsenDepartment of Cardiology, The Heart Centre Copenhagen University Hospital - Rigshospitalet Copenhagen Denmark.ORCID 0000-0001-8466-8515
Morten S OlesenDepartment of Biomedical Sciences, Faculty of Health and Medical Science University of Copenhagen Denmark.ORCID 0000-0001-9477-5322

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile atrial fibrillation (AF) is a key risk factor for stroke, recent studies have suggested that atrial cardiomyopathy may also increase stroke risk in the absence of AF. This study aimed to evaluate genetic determinants for left atrial (LA) function and volumes and risk of stroke. METHODS AND

resultsPolygenic scores (PGSs) for LA measures were constructed and used in 380 017 individuals in the UK Biobank, without history of ischemic stroke, systemic arterial embolism, or AF at enrollment. Risk of ischemic stroke was estimated using time-to-event models, considering all-cause death and incident AF as competing events. Systemic arterial embolism was investigated as a secondary end point. The PGS for LA passive emptying fraction was associated with risk of ischemic stroke. Individuals with a PGS for LA passive emptying fraction in the lowest quartile had a hazard ratio (HR) of 1.12 for ischemic stroke compared with those in the top quartile (

conclusionsThe PGS for LA passive emptying fraction was significantly associated with incident ischemic stroke when considering AF as a competing risk. Consistent results were found in Mendelian randomization analyses. These findings suggest that atrial dysfunction may influence stroke risk independently of AF.

Indexed as

Atrial Function, LeftMendelian Randomization AnalysisAgedAtrial FibrillationFemaleGenetic Predisposition to DiseaseHeart AtriaHumansIschemic StrokeMaleMiddle AgedMultifactorial InheritanceRisk AssessmentRisk FactorsStrokeUnited Kingdomatrial myopathygeneticsischemic strokeMendelian randomizationpolygenic risk

Identifiers

PMID39575717
PMCPMC11681563

What Socratic 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 Socratic graph.