Evidence map›Paper›PMID 40299261›Full record

ArticleGeroScience2026

Biological age acceleration and interaction with genetic predisposition in the risk of type 2 diabetes and coronary artery disease.

Guangrui Yang, Xihao Du, Xuanwei Jiang, Jingxuan Wang, Shuxiao Shi, Victor W Zhong

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in GeroScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. 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

6 authors.

Guangrui Yang *Department of Epidemiology and Biostatistics, School of Public Health, Shanghai Jiao Tong University School of Medicine, 415 East No. 1 Building, 227 South Chongqing Rd, Shanghai, 200025, China.
Xihao Du *Department of Epidemiology and Biostatistics, School of Public Health, Shanghai Jiao Tong University School of Medicine, 415 East No. 1 Building, 227 South Chongqing Rd, Shanghai, 200025, China.
Xuanwei JiangDepartment of Epidemiology and Biostatistics, School of Public Health, Shanghai Jiao Tong University School of Medicine, 415 East No. 1 Building, 227 South Chongqing Rd, Shanghai, 200025, China.
Jingxuan WangDepartment of Epidemiology and Biostatistics, School of Public Health, Shanghai Jiao Tong University School of Medicine, 415 East No. 1 Building, 227 South Chongqing Rd, Shanghai, 200025, China.
Shuxiao ShiDepartment of Epidemiology and Biostatistics, School of Public Health, Shanghai Jiao Tong University School of Medicine, 415 East No. 1 Building, 227 South Chongqing Rd, Shanghai, 200025, China.
Victor W ZhongDepartment of Epidemiology and Biostatistics, School of Public Health, Shanghai Jiao Tong University School of Medicine, 415 East No. 1 Building, 227 South Chongqing Rd, Shanghai, 200025, China. wenze.zhong@shsmu.edu.cn.ORCID 0000-0001-9208-4683

Funding

National Natural Science Foundation of China 82373551Shanghai Key Discipline of Public Health Grants Award GWVI-11.1-20
6 · The paper itself

Abstract

Biological age (BA), compared to chronological age, offers a more accurate reflection of aging status. In this prospective UK Biobank study, BA acceleration was measured using the Klemera-Doubal method BA (KDM-BA) and Phenotypic age (PhenoAge). Cox models estimated associations of BA acceleration with incident T2D (n = 271,885) and CAD (n = 270,054). Both additive and multiplicative interactions between BA acceleration and polygenic risk score (PRS) were examined. Predictive performance was assessed by adding BA, PRS, and their interactions to traditional risk models. BA acceleration was positively associated with incident T2D (HR

Indexed as

AgingCoronary Artery DiseaseDiabetes Mellitus, Type 2Genetic Predisposition to DiseaseAgedFemaleHumansIncidenceMaleMiddle AgedProportional Hazards ModelsProspective StudiesRisk AssessmentRisk FactorsUnited KingdomBiological ageCoronary artery diseaseGenetic predispositionType 2 diabetes

Identifiers

PMID40299261
PMCPMC12972435

What Socratic holds

Textmetadata
Read underepoch 390

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.