Evidence map›Paper›PMID 40159336›Full record

ArticleZhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences2025

[The association between biological aging markers and valvular heart diseases].

Xiangjing Liu, Da Luo, Zheng Hu, Hangyu Tian, Hong Jiang, Jing Chen

Abstract readEnglish Abstract
PubMed Full text at PMC Publisher
In one paragraph

Article in Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences, 2025. 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
–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

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

6 authors.

Xiangjing LiuDepartment of Cardiology, Renmin Hospital of Wuhan University, Hubei Provincial Key Laboratory of Cardiology, Cardiovascular Research Institute of Wuhan University, Wuhan 430060, China. 2020305233122@whu.edu.cn.
Da LuoDepartment of Cardiology, Renmin Hospital of Wuhan University, Hubei Provincial Key Laboratory of Cardiology, Cardiovascular Research Institute of Wuhan University, Wuhan 430060, China.
Zheng HuDepartment of Cardiology, Renmin Hospital of Wuhan University, Hubei Provincial Key Laboratory of Cardiology, Cardiovascular Research Institute of Wuhan University, Wuhan 430060, China.
Hangyu TianDepartment of Cardiology, Renmin Hospital of Wuhan University, Hubei Provincial Key Laboratory of Cardiology, Cardiovascular Research Institute of Wuhan University, Wuhan 430060, China.
Hong JiangDepartment of Cardiology, Renmin Hospital of Wuhan University, Hubei Provincial Key Laboratory of Cardiology, Cardiovascular Research Institute of Wuhan University, Wuhan 430060, China. hong-jiang@whu.edu.cn.
Jing ChenDepartment of Cardiology, Renmin Hospital of Wuhan University, Hubei Provincial Key Laboratory of Cardiology, Cardiovascular Research Institute of Wuhan University, Wuhan 430060, China. chenjing1982@whu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo analyze the association between biological aging markers (phenotypic age and phenotypic age acceleration) and valvular heart diseases.

methodsResearch subjects who met the inclusion and exclusion criteria were selected from the UK Biobank from 2006 to 2010. The phenotypic age and phenotypic age acceleration were calculated. Cox multivariate analysis was used to examine the relationship between the aging markers and valvular heart diseases. Sensitivity analysis was conducted by removing missing values and subgroup analysis. The predictive accuracy of phenotypic age and phenotypic age acceleration for valvular heart diseases was analyzed using receiver operating characteristic (ROC) curves, and a clinical decision curve was generated based on logistic regression.

resultsA total of 411 687 subjects were included in the study, among whom there were 14 258 patients with valvular heart diseases. The overall median follow-up time was 12.80 years, the median follow-up time for patients with non-rheumatic aortic valve diseases (

conclusionsPhenotypic age and phenotypic age acceleration,as markers of biological aging, are independent risk factors for valvular heart diseases. Compared with phenotypic age acceleration, phenotypic age has a greater advantage in predicting valvular heart diseases. Overall, the combination of the two indicators offers a more effective approach for predicting valvular heart diseases.

Indexed as

AgingHeart Valve DiseasesAdultAgedAged, 80 and overBiomarkersFemaleHumansMaleMiddle AgedPhenotypeRisk FactorsBiomarkersAgingNon-rheumatic valvular heart diseasesPhenotypic agePhenotypic age accelerationValvular heart diseases

Identifiers

PMID40159336
PMCPMC12062939

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.