Evidence map›Paper›PMID 42767983›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2026

Heterogeneity in the association between cardiovascular disease and cognitive decline: a pooled analysis of five prospective cohort studies from 24 countries.

Juanjuan Li, Lili Cui, Yuan Xu, Yuyan Ding, Junhao Huo, Dongmei Niu, Hong Chen, Bo Kou, Jiangping Li, Liqun Wang

Abstract read
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Juanjuan LiDepartment of Epidemiology and Statistics, School of Public Health at Ningxia Medical University, Yinchuan, Ningxia, People's Republic of China.
Lili CuiDepartment of Epidemiology and Statistics, School of Public Health at Ningxia Medical University, Yinchuan, Ningxia, People's Republic of China.
Yuan XuThe Second People's Hospital of Shizuishan, Shizuishan, Ningxia, People's Republic of China.
Yuyan DingDepartment of Epidemiology and Statistics, School of Public Health at Ningxia Medical University, Yinchuan, Ningxia, People's Republic of China.
Junhao HuoDepartment of Epidemiology and Statistics, School of Public Health at Ningxia Medical University, Yinchuan, Ningxia, People's Republic of China.
Dongmei NiuDepartment of Epidemiology and Statistics, School of Public Health at Ningxia Medical University, Yinchuan, Ningxia, People's Republic of China.
Hong ChenDepartment of Epidemiology and Statistics, School of Public Health at Ningxia Medical University, Yinchuan, Ningxia, People's Republic of China.
Bo KouThe Second People's Hospital of Shizuishan, Shizuishan, Ningxia, People's Republic of China.
Jiangping LiDepartment of Epidemiology and Statistics, School of Public Health at Ningxia Medical University, Yinchuan, Ningxia, People's Republic of China.ORCID https://orcid.org/0000-0001-5183-3713
Liqun WangDepartment of Epidemiology and Statistics, School of Public Health at Ningxia Medical University, Yinchuan, Ningxia, People's Republic of China.ORCID https://orcid.org/0000-0003-1611-3029

Funding

Integrting Information About Aging SurveysR01AG030153 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Sara Adar, Alden L. Gross · 2007 to 2026
$41.7M
Mega Meta Data Set of the Health and Retirement Surveys Around the WorldRC2AG036619 · NIA · RAND CORPORATION · PI KAPTEYN, ARIE · 2009 to 2010
$2.0M
Archiving & Creating User Friendly Data: the Longitudinal Aging Survey in IndiaR03AG043052 · NIA · RAND CORPORATION · PI LEE, JINKOOK · 2012 to 2012
$95k
Natural Science Foundation of Ningxia 2025AAC030727NIA NIH HHS R01 AG030153NIA NIH HHS R03 AG043052NIA NIH HHS RC2 AG036619the open competition mechanism to select the best candidates for key research projects of Ningxia Medical University XJKF230203
6 · The paper itself

Abstract

introductionWe assessed the association between cardiovascular disease (CVD) and cognitive decline in adults aged 50 years or older using pooled data from five multinational cohorts, quantified heterogeneity, and explored its potential sources.

methodsIndividual-level data from China Health and Retirement Longitudinal Study (CHARLS), Health and Retirement Study, Survey of Health, Ageing and Retirement in Europe, English Longitudinal Study of Ageing, and Mexican Health and Aging Study (83,159 adults ≥50 years) were pooled. Linear mixed models were used to estimate CVD-cognitive decline associations, followed by random-effects meta-analysis. Heterogeneity was explored via descriptive stratification analyses, subgroup analyses, and sensitivity analyses. In supplementary analyses, we fitted time-varying CVD models, mutually adjusted models for stroke and heart disease, and separate time-varying models for stroke and heart disease as sensitivity analyses.

resultsSubstantial heterogeneity across cohorts in the association between CVD and cognitive decline (I DISCUSSION: The association between CVD and cognitive decline varies markedly across populations, with opposite directions observed between Chinese and Western cohorts. This heterogeneity may be partially explained by variations in the composition of heart disease and the use of medication across five cohorts.

Indexed as

Cardiovascular DiseasesCognitive DysfunctionAgedCohort StudiesEuropeFemaleHumansLongitudinal StudiesMaleMiddle AgedProspective Studiescardiovascular diseasecognitive declineheterogeneitypooled analysisprospective cohort studies

Identifiers

PMID42767983
PMCPMC13593585

What Socratic holds

Textmetadata
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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.