Evidence map›Paper›PMID 42271486›Full record

ArticleDiabetes, obesity & metabolism2026

Intrinsic Capacity, Genetic Susceptibility and Incident Cardiovascular Disease Among Individuals With Diabetes: A Prospective Cohort Study.

Huan Chen, Jian Gao, Wen-Fang Zhong, Chuan Li, Xiao-Lin Wang, Dan Liu, Zhi-Hao Li, Chen Mao

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Article in Diabetes, obesity & metabolism, 2026. 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

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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

1 citing paper in PubMed.

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4 · The record

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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

8 authors.

Huan ChenDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China.
Jian GaoDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China.
Wen-Fang ZhongDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China.
Chuan LiDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China.
Xiao-Lin WangDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China.
Dan LiuDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China.
Zhi-Hao LiDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China.ORCID 0000-0002-1597-2676
Chen MaoDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China.ORCID 0000-0002-6537-6215

Funding

National Natural Science Foundation of China 82425052
6 · The paper itself

Abstract

backgroundThe relationship between intrinsic capacity (IC), genetic susceptibility, and CVD outcomes in individuals with diabetes remains unclear.

methodsData were obtained from 18 333 participants with diabetes (58.63 ± 7.54 years). The IC deficit score was categorised into five levels: 0, 1, 2, 3, and 4+. Outcomes included: hypertension, IHD, stroke, PAD, HF, and AF. Genetic risk scores (PRS) were constructed based on previously identified single nucleotide polymorphisms (SNPs) associated with these outcomes.

resultsOver a follow-up period of 9.91 to 13.43 years. Compared to those with an IC deficit score of 0, diabetes participants with a score of 4+ had significantly elevated risks, particularly for PAD (HR: 3.25, 95% CI: 2.44-4.33). The association between IC deficit score and IHD risk was stronger in individuals with low genetic risk. Notably, even among those with high genetic risk, an IC deficit score of 0 was linked to a lower risk of CVD outcomes.

conclusionsIn individuals with diabetes, a higher IC deficit score is associated with an increased risk of hypertension, ischemic heart disease, stroke, PAD, HF, and AF.

Indexed as

Cardiovascular DiseasesDiabetes Mellitus, Type 2Diabetic AngiopathiesGenetic Predisposition to DiseaseAgedFemaleFollow-Up StudiesGenetic Risk ScoreHumansIncidenceMaleMiddle AgedPolymorphism, Single NucleotideProspective StudiesRisk Factorscardiovascular diseasegenetic susceptibilityintrinsic capacity

Identifiers

PMID42271486
PMCPMC13448865

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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.