Evidence map›Paper›PMID 34029116›Full record

Trial reportCirculation. Genomic and precision medicine2021

Combining Clinical and Polygenic Risk Improves Stroke Prediction Among Individuals With Atrial Fibrillation.

Jack W O'Sullivan, Anna Shcherbina, Johanne M Justesen, Mintu Turakhia, Marco Perez, Hannah Wand, Catherine Tcheandjieu, Shoa L Clarke, Manuel A Rivas, Euan A Ashley

Open access · bronzeAbstract readClinical Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Circulation. Genomic and precision medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

35 citing papers in PubMed, 45 citations in OpenAlex.

  1. Trial
  2. Article
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  6. Transforming atrial fibrillation management by targeting comorbidities and reducing atrial fibrillation burden: the 10th AFNET/EHRA consensus conference.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2025
    Article
  7. Article
  8. Review
  9. Article
  10. Polygenic risk-based prediction of heart failure in young patients with atrial fibrillation: an analysis from UK Biobank.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2025
    Article
  11. Article
  12. Review
  13. Review
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Longer and better lives for patients with atrial fibrillation: the 9th AFNET/EHRA consensus conference.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2024
    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 3 institutions in 1 country.

Jack W O'SullivanDivision of Cardiology, Department of Medicine (J.W.O., M.T., M.P., H.W., C.T., S.L.C., E.A.A.), Stanford University School of Medicine, Stanford, CA.
Anna ShcherbinaDepartment of Biomedical Data Science (A.S.), Stanford University School of Medicine, Stanford, CA.
Johanne M JustesenDepartment of Biomedical Data Science, Stanford University, Stanford, CA (A.S., J.M.J., M.A.R., E.A.A.).
Mintu TurakhiaDivision of Cardiology, Department of Medicine (J.W.O., M.T., M.P., H.W., C.T., S.L.C., E.A.A.), Stanford University School of Medicine, Stanford, CA.
Marco PerezDivision of Cardiology, Department of Medicine (J.W.O., M.T., M.P., H.W., C.T., S.L.C., E.A.A.), Stanford University School of Medicine, Stanford, CA.
Hannah WandDivision of Cardiology, Department of Medicine (J.W.O., M.T., M.P., H.W., C.T., S.L.C., E.A.A.), Stanford University School of Medicine, Stanford, CA.
Catherine TcheandjieuDivision of Cardiology, Department of Medicine (J.W.O., M.T., M.P., H.W., C.T., S.L.C., E.A.A.), Stanford University School of Medicine, Stanford, CA.
Shoa L ClarkeDivision of Cardiology, Department of Medicine (J.W.O., M.T., M.P., H.W., C.T., S.L.C., E.A.A.), Stanford University School of Medicine, Stanford, CA.
Manuel A RivasDepartment of Biomedical Data Science, Stanford University, Stanford, CA (A.S., J.M.J., M.A.R., E.A.A.).
Euan A AshleyDivision of Cardiology, Department of Medicine (J.W.O., M.T., M.P., H.W., C.T., S.L.C., E.A.A.), Stanford University School of Medicine, Stanford, CA.
Stanford University · USCardiovascular Institute of the South · USVA Palo Alto Health Care System · US

Funding

Training in Myocardial Biology at Stanford (TIMBS)T32HL094274 · NHLBI · STANFORD UNIVERSITY · PI Euan A Ashley, Daniel Bernstein · 2010 to 2026
$5.0M
NHLBI NIH HHS T32 HL094274
6 · The paper itself

Abstract

backgroundAtrial fibrillation (AF) is associated with a five-fold increased risk of ischemic stroke. A portion of this risk is heritable; however, current risk stratification tools (CHA

methodsUsing data from the largest available genome-wide association study in Europeans, we combined over half a million genetic variants to construct a PRS to predict ischemic stroke in patients with AF. We externally validated this PRS in independent data from the UK Biobank, both independently and integrated with clinical risk factors. The integrated PRS and clinical risk factors risk tool had the greatest predictive ability.

resultsCompared with the currently recommended risk tool (CHA

conclusionsIn patients with AF, there appears to be a significant association between PRS and risk of ischemic stroke. The greatest predictive ability was found with the integration of PRS and clinical risk factors; however, the prediction of stroke remains challenging.

Indexed as

Atrial FibrillationGenome-Wide Association StudyIschemic StrokeAgedFemaleHumansMaleMiddle AgedRisk Assessmentatrial fibrillationbiomarkersgeneticsischemic strokerisk factor

Identifiers

PMID34029116
PMCPMC8212575
OpenAlexW3165211157

What OpenQuestion holds

Textmetadata
LicenceTDM
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.