Evidence map›Paper›PMID 40577674›Full record

ArticleNeurology2025

Genetic Risk and Prognosis of the First Incident Stroke Survivors: Findings from China Kadoorie Biobank and UK Biobank.

Yuting Han, Hongjing Shi, Canqing Yu, Pei Pei, Ling Yang, Iona Y Millwood, Robin G Walters, Yiping Chen, Huaidong Du, Meiyu Guan and 7 more

Abstract read
In one paragraph

Article in Neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
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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

17 authors.

Yuting HanDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Hongjing ShiDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Canqing YuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.ORCID 0000-0002-0019-0014
Pei PeiPeking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China.
Ling YangClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, United Kingdom.
Iona Y MillwoodClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, United Kingdom.
Robin G WaltersClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, United Kingdom.ORCID 0000-0002-9179-0321
Yiping ChenClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, United Kingdom.
Huaidong DuClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, United Kingdom.
Meiyu GuanQingdao Central Hospital, University of Health and Rehabilitation Sciences, China.
Daniel AveryClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, United Kingdom.
Junshi ChenChina National Center for Food Safety Risk Assessment, Beijing, China; and.
Zhengming ChenClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, United Kingdom.
Liming LiDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Dianjianyi SunDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.ORCID 0000-0003-3651-6693
Jun LvDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.ORCID 0000-0001-7916-3870
China Kadoorie Biobank Collaborative Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesStroke is known for its poor prognosis. Although genetic instruments have shown promise in stratifying first stroke risk in the general population, it is unknown whether they are associated with stroke prognosis. Our study aims to explore the role of genetic risk of stroke in the progression from stroke-free to first stroke and then to recurrent stroke, subsequent coronary heart disease (CHD), and death in China and the United Kingdom.

methodsWe used data from 2 prospective population-based cohorts, China Kadoorie Biobank (CKB) and UK Biobank (UKB). Participants who were unrelated and free of stroke and CHD at baseline were included. Genetic risks of stroke were quantified using integrative polygenic risk scores (iPRSs), which incorporated summary statistics from multiple genome-wide association studies for stroke outcomes and its subtypes, and vascular-risk traits. We used a multistate model to analyze the roles of genetic risk in the transitions from baseline to first incident stroke and then to recurrent stroke, subsequent CHD, and death.

resultsOur study included 80,908 CKB participants and 380,348 UKB participants, with mean ages (% female) of 54.0 years (58.6%) and 56.1 years (55.4%). During median follow-ups of 11.9 years and 13.4 years in the CKB and UKB, respectively, 13,481 and 5,772 participants had their first stroke, neither experienced a CHD, or died within 28 days. These survivors had 5,707 and 943 recurrent strokes, as well as 1,196 and 418 CHD events, respectively. iPRSs were associated with recurrent stroke and CHD among stroke survivors in both populations. The corresponding hazard ratios (HRs) and 95% CIs per SD of iPRSs were 1.08 (1.05-1.11) and 1.08 (1.02-1.15) in CKB and 1.11 (1.03-1.19) and 1.23 (1.10-1.37) in UKB, respectively. There was no association between iPRSs and mortality risk. When we further divided the first stroke into 4 pathologic subtypes, both populations revealed statistically significant associations between iPRSs and the transitions from first ischemic stroke to recurrent stroke and CHD. DISCUSSION: Our study shows that the genetic risk of first stroke also influences the prognosis of stroke survivors, indicating that PRS has the potential to improve stroke prognosis.

Indexed as

Genetic Predisposition to DiseaseStrokeAdultAgedBiological Specimen BanksChinaCoronary DiseaseFemaleGenome-Wide Association StudyHumansMaleMiddle AgedPrognosisProspective StudiesRecurrenceRisk Factors

Identifiers

PMID40577674
PMCPMC12205741

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.