Evidence map›Paper›PMID 41975286›Full record

ArticleBMC cardiovascular disorders2026

Associations between phenotypic age and carotid atherosclerosis among the general population: evidence from a multi-stage study.

Nimei Zeng, Ting Tian, Quan Zhou, Yuanli Li, Xunzhi Geng, Fangfei Xie, Renfang Han, Yi Wang, Yun Wang, Yuancheng Li and 1 more

Abstract read
In one paragraph

Article in BMC cardiovascular disorders, 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
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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

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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

11 authors.

Nimei Zeng *Health Management Center, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, 215008, China.
Ting Tian *Central Research Laboratory, Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, Nanjing, 210042, China.
Quan ZhouHealth Management Center, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, 215008, China.
Yuanli LiHealth Management Center, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, 215008, China.
Xunzhi GengHealth Management Center, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, 215008, China.
Fangfei XieHealth Management Center, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, 215008, China.
Renfang HanHealth Management Center, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, 215008, China.
Yi WangHealth Management Center, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, 215008, China.
Yun WangHealth Management Center, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, 215008, China.
Yuancheng LiCentral Research Laboratory, Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, Nanjing, 210042, China. ycli@pumcderm.cams.cn.
Jingyi FanHealth Management Center, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, 215008, China. fanjingyi@njmu.edu.cn.

Funding

Basic Research Program of Jiangsu Province BK20220258Basic Research Program of Jiangsu Province BK20230129National Natural Science Foundation of China 82304236Suzhou Applied Basic Research (Medical and Health) Technology Innovation Project SYWD2024144Suzhou Gusu Medical Youth Talent GSWS2023109
6 · The paper itself

Abstract

backgroundCardiovascular disease onset and mortality vary substantially among individuals of the same chronological age, reflecting differences in the pace of biological aging. This multi-stage study aimed to investigate the association between phenotypic age acceleration (PhenoAgeAccel) and subclinical carotid atherosclerosis.

methodsWe conducted a case-control study (2,088 matched pairs) and a prospective validation cohort (n = 3,833) to assess the association between PhenoAgeAccel and carotid atherosclerotic plaque (CAP) presence in a Chinese general population. We then extended the analysis to occlusion and stenosis of the carotid artery (OSCA) in an external UK Biobank cohort (n = 362,893). PhenoAgeAccel was calculated using chronological age and nine clinical parameters, and PhenoAgeAccel ≤ 0 and > 0 were defined as biologically younger and older, respectively. Multivariable logistic regression and Cox proportional hazards regression models were employed for analyses.

resultsIn the case-control study, each 1-SD increase in PhenoAgeAccel was associated with a 17% higher risk of CAP presence (OR: 1.17, 95% CI: 1.07-1.26) after adjusting for multiple covariates. A similar association was observed for incident CAP, with each 1-SD increase in PhenoAgeAccel associated with an 17% increase in hazard (HR: 1.17, 95% CI: 1.08-1.27). The transportability analysis in the UK Biobank revealed a 26% increased risk of OSCA per-SD increase in PhenoAgeAccel (HR:1.26, 95% CI: 1.20-1.33). The area under receiver operating characteristic curve (AUC) for a model containing PhenoAgeAccel (AUC = 0.700) was significantly (P = 0.026) larger than the standard model (AUC = 0.689). The restricted cubic splines further confirmed a dose-response association between PhenoAgeAccel and risk of CAP or OSCA (P for overall < 0.001). Subgroup analyses showed significant interactions with diabetes and BMI, with stronger associations in non-diabetic and normal-weight individuals (P < 0.001).

conclusionsPhenoAgeAccel was independently associated with an increased risk of CAP presence and incident OSCA, suggesting its potential as a complementary indicator for identifying individuals at higher risk of carotid atherosclerosis.

Indexed as

AgingCarotid Artery DiseasesCarotid StenosisAgedAge FactorsCase-Control StudiesChinaFemaleHumansIncidenceMaleMiddle AgedPhenotypePlaque, AtheroscleroticProspective StudiesRisk AssessmentBiological agingCardiovascular diseaseCarotid atherosclerosisPhenotypic age accelerationRisk prediction

Identifiers

PMID41975286
PMCPMC13214275

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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.