Evidence map›Paper›PMID 41514073›Full record

ArticleCommunications medicine2026

Associations of biological ageing and genetic risk with incident abdominal aortic aneurysm.

Chen Yao, Guochang You, Runnan Shen, Kangjie Wang, Yunhao Sun, Xiong Chen, Kai Huang

Abstract read
In one paragraph

Article in Communications medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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

7 authors.

Chen Yao *Division of Vascular Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, P.R. China.ORCID http://orcid.org/0000-0003-0327-9599
Guochang You *Division of Vascular Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, P.R. China.
Runnan Shen *Department of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, P.R. China.
Kangjie WangDivision of Vascular Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, P.R. China.
Yunhao SunDivision of Vascular Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, P.R. China.
Xiong ChenDepartment of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, P.R. China.ORCID http://orcid.org/0000-0003-1765-3051
Kai HuangDepartment of Cardiovascular Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, P.R. China. huangk37@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0001-8797-7671

Funding

China Postdoctoral Science Foundation 2022M710884National Natural Science Foundation of China (National Science Foundation of China) 81800420National Natural Science Foundation of China (National Science Foundation of China) 82070495National Natural Science Foundation of China (National Science Foundation of China) 82202251National Natural Science Foundation of China (National Science Foundation of China) 8240021193National Natural Science Foundation of China (National Science Foundation of China) 82470511
6 · The paper itself

Abstract

backgroundAbdominal aortic aneurysm (AAA) is a degenerative cardiovascular disorder prevalent with ageing. While accelerated biological ageing contributes to age-related diseases, its specific role in AAA risk remains unclear. This study investigates the relationships between biological ageing and risk of incident AAA and genetic predisposition to the disease.

methodsThis retrospective study used UK Biobank data from 350,483 participants without AAA at baseline. Biological age was assessed using Klemera-Doubal Method (KDMAge) and phenotypic age (PhenoAge) algorithms. Accelerated biological ageing was determined through residual analysis against chronological age, with values above 0 indicating accelerated ageing. Cox proportional hazards models evaluated the associations of biological age accelerations with AAA risk. Polygenic risk scores were calculated to evaluate genetic predisposition to AAA. We also examined the interactions between biological age accelerations and genetic predisposition on the risk of AAA.

resultsHere we show that participants with accelerated biological ageing have an elevated risk of AAA onset compared to those without, with hazard ratios (HRs) of 1.29 (95% CI 1.17-1.42) for KDMAge and 1.63 (95% CI 1.47-1.81) for PhenoAge. For joint associations, participants with accelerated biological ageing and high genetic risk have the highest risk of incident AAA (KDMAge: HR 2.15, 95% CI 1.81-2.54; PhenoAge: HR 2.72, 95% CI 2.26-3.28). There is a significant additive interaction between high genetic risk and accelerated biological ageing of PhenoAge.

conclusionsAccelerated biological ageing is significantly associated with an increased risk of AAA incidence, suggesting its potential as a focal point for risk assessment and targeted intervention development.

Identifiers

PMID41514073
PMCPMC12894926

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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 Socratic graph.