Evidence mapPaperPMID 39717880Full record

ArticleAging cell2025

Associations of clinical parameter-based accelerated aging, genetic predisposition with risk of chronic kidney disease and associated life expectancy: A prospective cohort study.

Gang Zheng, Qing Chang, Yixiao Zhang, Yashu Liu, Chao Ji, Honghao Yang, Liangkai Chen, Yang Xia, Yuhong Zhao

Abstract read
In one paragraph

Article in Aging cell, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 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

9 authors.

Gang ZhengDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, China Medical University, Shenyang, China.
Qing ChangDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, China Medical University, Shenyang, China.
Yixiao ZhangDepartment of Urology Surgery, Shengjing Hospital of China Medical University, China Medical University, Shenyang, China.
Yashu LiuDepartment of General Surgery, Shengjing Hospital of China Medical University, China Medical University, Shenyang, China.
Chao JiDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, China Medical University, Shenyang, China.
Honghao YangDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, China Medical University, Shenyang, China.
Liangkai ChenDepartment of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yang XiaDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, China Medical University, Shenyang, China.ORCID 0000-0001-8783-1592
Yuhong ZhaoDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, China Medical University, Shenyang, China.ORCID 0000-0002-6806-521X

Funding

the 345 Talent Project of Shengjing Hospital of China Medical University M0294the LiaoNing Revitalization Talents Program XLYC2203168The National Key R&D Program 2023YFC3604605the Scientific Research Project of Liaoning Province Education Department LJKMZ20221149the Young Elite Scientists Sponsorship Program by China Association for Science and Technology YESS20200151
6 · The paper itself

Abstract

Little evidence exists regarding the associations between clinical parameter-based biological aging and the incidence and outcome of chronic kidney disease (CKD). Thus, we aimed to assess the associations between biological aging, genetic risk, and the risk of CKD, as well as investigate the impact of accelerated biological aging on life expectancy. 281,363 participants free of kidney diseases from the UK Biobank were included in this prospective study. Biological age was measured from clinical traits using the KDM-BA and PhenoAge algorithms, and the discrepancies from chronological age were defined as biological age accelerations. A polygenic score was calculated to indicate the genetic predisposition of the estimated glomerular filtration rate (eGFR). A cause-specific competing risk model was used to estimate hazard ratios (HRs) and the corresponding confidence intervals (CIs) of incident CKD. We found that individuals with more pronounced accelerations in biological age exhibited an elevated risk of developing CKD (HR

Indexed as

AgingGenetic Predisposition to DiseaseLife ExpectancyRenal Insufficiency, ChronicAdultAgedFemaleHumansMaleMiddle AgedProspective StudiesRisk Factorsbiological agingchronic kidney diseasegenetic predispositionlife expectancy

Identifiers

PMID39717880
PMCPMC11984662

What Socratic holds

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Registered trials

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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.