Evidence map›Paper›PMID 39863329›Full record

ArticleThe journal of prevention of Alzheimer's disease2025

Associations of early-onset coronary heart disease and genetic susceptibility with incident dementia and white matter hyperintensity: A prospective cohort study.

Jie Liang, Yanyu Zhang, Wenya Zhang, Yang Pan, Darui Gao, Jingya Ma, Yuling Liu, Yiwen Dai, Mengmeng Ji, Wuxiang Xie and 1 more

Abstract read
In one paragraph

Article in The journal of prevention of Alzheimer's disease, 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.

Jie LiangSchool of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Yanyu ZhangDepartment of Endocrinology, Peking University First Hospital, Beijing, China; Clinical Research Institute, Institute of Advanced Clinical Medicine, Peking University, Beijing, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China.
Wenya ZhangSchool of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Yang PanSchool of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Darui GaoDepartment of Endocrinology, Peking University First Hospital, Beijing, China; Clinical Research Institute, Institute of Advanced Clinical Medicine, Peking University, Beijing, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China.
Jingya MaSchool of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Yuling LiuSchool of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Yiwen DaiSchool of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Mengmeng JiDepartment of Endocrinology, Peking University First Hospital, Beijing, China; Clinical Research Institute, Institute of Advanced Clinical Medicine, Peking University, Beijing, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China.
Wuxiang XieDepartment of Endocrinology, Peking University First Hospital, Beijing, China; Clinical Research Institute, Institute of Advanced Clinical Medicine, Peking University, Beijing, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China. Electronic address: xiewuxiang@hsc.pku.edu.cn.
Fanfan ZhengSchool of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China. Electronic address: zhengfanfan@nursing.pumc.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe associations of early-onset coronary heart disease (CHD) and genetic susceptibility with incident dementia and brain white matter hyperintensity (WMH) remain unclear. Elucidation of this problem could promote understanding of the neurocognitive impact of early-onset CHD and provide suggestions for the prevention of dementia.

objectivesThis study aimed to investigate whether observed and genetically predicted early-onset CHD were related to subsequent dementia and WMH volume.

designProspective cohort study.

settingUK Biobank.

participants500 671 individuals without dementia at baseline. MEASUREMENTS: Early-onset CHD (male ≤55 years; female ≤65 years) was ascertained using hospital inpatient records. Incident dementia including all-cause dementia, Alzheimer's disease, and vascular dementia was ascertained using hospital inpatient records, mortality register data, and self-reported data. WMH volume was measured through brain magnetic resonance imaging (MRI). Cox proportional hazards models and linear regression models were used to analyze the associations of early-onset CHD with incident dementia and WMH. Subsequently, a polygenetic risk score (PRS) analysis was conducted to investigate the associations of genetically predicted early-onset CHD with outcomes.

resultsAmong 500 671 individuals (female: 272 669, 54.5%; mean age: 57.0 ± 8.1 years), 9 294 dementia occurred during a median follow-up of 13.8 years. Compared with the non-CHD group, both early-onset (n = 16 133) and late-onset CHD (n = 43 944) groups had higher risks of developing dementia (hazard ratio [HR]: 1.99, 95% confidence interval [CI]: 1.81 to 2.19 for early-onset group; HR: 1.20, 95% CI: 1.14 to 1.27 for late-onset group). Among CHD participants, early-onset CHD was associated with a significantly higher risk of incident dementia, compared with late-onset CHD (HR: 1.56, 95% CI: 1.39 to 1.75). In a subset of 40 290 individuals who completed brain MRI scans during a median follow-up of 9.3 years, participants with early-onset CHD exhibited the largest WMH volume among the three groups (early-onset CHD, late-onset CHD, and non-CHD, P

conclusionsEarly-onset CHD and genetic susceptibility are associated with a higher risk of incident dementia and a larger WMH volume. Additional attention should be paid to the neurocognitive status of individuals with early-onset CHD.

Indexed as

Coronary DiseaseDementiaGenetic Predisposition to DiseaseWhite MatterAgedAge of OnsetBrainFemaleHumansIncidenceMagnetic Resonance ImagingMaleMiddle AgedProspective StudiesUnited KingdomDementiaEarly-onset coronary heart diseaseGenetic susceptibilityPolygenetic risk scoreWhite matter hyperintensity

Identifiers

PMID39863329
PMCPMC12184021

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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 OpenQuestion graph.