Evidence map›Paper›PMID 40738943›Full record

ArticleScientific reports2025

Evaluating the potential of phenotypic age to enhance cardiovascular risk prediction over chronological age in the UK Biobank.

Kristine J S Kwan, Shi-Shuai Xie, Hai-Lei Li, Xue-Guang Lin, Yi-Jie Lu, Bo Chen, Kai-Xin Ge, Shu-Ya Tang, Hui Zhang, Shuai Jiang and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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.

Kristine J S Kwan *Department of Vascular Surgery, Shanghai Key Laboratory of Vascular Lesions Regulation and Remodeling, Fudan University Pudong Medical Center, Shanghai, 201399, China.
Shi-Shuai Xie *Department of Vascular Surgery, Shanghai Key Laboratory of Vascular Lesions Regulation and Remodeling, Fudan University Pudong Medical Center, Shanghai, 201399, China.
Hai-Lei Li *Division of Vascular Surgery, Department of Surgery, The University of Hong Kong, Hong Kong SAR, China.
Xue-Guang LinDepartment of Vascular Surgery, Shanghai Key Laboratory of Vascular Lesions Regulation and Remodeling, Fudan University Pudong Medical Center, Shanghai, 201399, China.
Yi-Jie LuDepartment of Vascular Surgery, Shanghai Key Laboratory of Vascular Lesions Regulation and Remodeling, Fudan University Pudong Medical Center, Shanghai, 201399, China.
Bo ChenDepartment of Vascular Surgery, Shanghai Key Laboratory of Vascular Lesions Regulation and Remodeling, Fudan University Pudong Medical Center, Shanghai, 201399, China.
Kai-Xin GeDepartment of Vascular Surgery, Shanghai Key Laboratory of Vascular Lesions Regulation and Remodeling, Fudan University Pudong Medical Center, Shanghai, 201399, China.
Shu-Ya TangFudan Zhangjiang Institute, Shanghai, China.
Hui ZhangSchool of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University Schools of Medicine, Shanghai, China. zhanghui2939@163.com.
Shuai JiangDepartment of Vascular Surgery, Shanghai Key Laboratory of Vascular Lesions Regulation and Remodeling, Fudan University Pudong Medical Center, Shanghai, 201399, China. zhiyusang@163.com.
Jing-Dong TangDepartment of Vascular Surgery, Shanghai Key Laboratory of Vascular Lesions Regulation and Remodeling, Fudan University Pudong Medical Center, Shanghai, 201399, China. drtangjingdong@126.com.

Funding

Fudan Zhangjiang Institute Project KP7202109Key Disciplines Construction Project of Pudong Local Health Commission of Shanghai PWZxk2022-01Program for Outstanding Medical Academic Leader of Shanghai LJ202202Scientific Research Foundation provided by Pudong Hospital affiliated to Fudan University YJYJRC202202Shanghai Academy of Educational Sciences C2021329Shanghai Municipal Science and Technology Commission Project 22dz1202004Talent Development Program of Pudong Health Committee Shanghai PWRq2023-19Young Medical Talents Training Program of Pudong Hospital affiliated to Fudan University YQ202201
6 · The paper itself

Abstract

Phenotypic age acceleration (PhenoAgeAccel) is a novel biological indicator estimates an individual's mortality risk. The primary aim of this study was to evaluate the association between PhenoAge and PhenoAgeAccel with incident cardiovascular diseases (CVD) in the UK Biobank cohort. We analyzed data from 114,517 UK Biobank participants free of CVD history at baseline. PhenoAgeAccel of was obtained by regressing PhenoAge on chronological age (ChronoAge). We applied a Cox regression model with time-dependent variables to assess the association between PhenoAgeAccel and incident CVD. The predictive value of PhenoAge and PhenoAgeAccel was evaluated with reference to the Framingham Risk Score (FRS) model using Kaplan-Meier curves, receiver operating characteristic curves (AUC), and Harrel's C-index. The positive PhenoAgeAccel comprised of 36.5% of the cohort. The mean ChronoAge and PhenoAge of participants in the positive PhenoAgeAccel group was 57.5 years and 61.7 years, respectively. The mean ChronoAge and PhenoAge of participants in the negative PhenoAgeAccel group was 56.1 years and 52.5 years, respectively. Incident CVD occurred at a higher rate in the positive PhenoAgeAccel group (44.8% vs. 33.1%) at a comparatively shorter period (11.2 years vs. 12.4 years). The AUC of PhenoAge in predicting incident CVD was lower than the FRS but higher than ChronoAge (69.3% vs. 70.9% vs. 68.1%, respectively). Discriminative performance was assessed using Harrell's C-index. The model including established cardiovascular risk factors yielded a C-index of 0.670, compared to 0.674 for the model incorporating PhenoAgeAccel (difference = 0.0049, p < 0.001). Separately, the Framingham Risk Score (FRS) model achieved a higher C-index of 0.697 versus 0.674 for the PhenoAgeAccel model (difference = 0.022, p < 0.001). Kaplein-Meier survival patterns of the positive PhenoAgeAccel group was similar to the high-risk group of FRS level. At time points year 4, 8, 12, and 16, the freedom-from-CVD probability for positive PhenoAgeAccel groups versus FRS high risk groups were 86.2% vs. 85.7%, 72.6% vs. 71.1%, 60.0% vs. 57.4%, and 54.8% vs. 51.7% respectively. Positive PhenoAgeAccel was associated with higher 10-year CVD risk, suggesting its potential as an adjunct in CVD risk assessment. PhenoAge, by incorporating biological aging markers, may offer more nuanced risk insights compared to ChronoAge. These findings are primarily applicable to men, given the male predominance in the cohort, and should be interpreted with caution for women.

Indexed as

AgingCardiovascular DiseasesAdultAgedAge FactorsBiological Specimen BanksCohort StudiesFemaleHeart Disease Risk FactorsHumansKaplan-Meier EstimateMaleMiddle AgedPhenotypeProportional Hazards ModelsRisk AssessmentBiological ageingCardiovascular diseasePhenotypic ageRisk score

Identifiers

PMID40738943
PMCPMC12310943

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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.