Evidence map›Paper›PMID 40287467›Full record

ArticleScientific reports2025

Frailty, genetic predisposition, and incident chronic kidney disease.

Shanshan Zou, Ying Sun, Yinuo Zhou, Bowei Yu, Jiang Li, Yuefeng Yu, Jianing Chen, Yujie Li, Ningjian Wang, Li Wang

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

10 authors.

Shanshan ZouDepartment of Nephrology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, No.639 Zhizaoju Road, Shanghai, 200011, People's Republic of China.
Ying SunInstitute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, People's Republic of China.
Yinuo ZhouInstitute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, People's Republic of China.
Bowei YuInstitute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, People's Republic of China.
Jiang LiInstitute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, People's Republic of China.
Yuefeng YuInstitute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, People's Republic of China.
Jianing ChenDepartment of Nephrology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, No.639 Zhizaoju Road, Shanghai, 200011, People's Republic of China.
Yujie LiDepartment of Nephrology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, No.639 Zhizaoju Road, Shanghai, 200011, People's Republic of China.
Ningjian WangInstitute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, People's Republic of China. wnj486@126.com.
Li WangDepartment of Nephrology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, No.639 Zhizaoju Road, Shanghai, 200011, People's Republic of China. wlyjy73122@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Frailty is common among individuals with chronic kidney disease (CKD), whereas its impact on incident CKD risk remains unknown. This study aimed to prospectively evaluate the association between frailty and incident CKD risk, exploring the potential modification role of genetic risk factors (GRS). A cohort of 275,442 UK Biobank participants (mean age 55.3 ± 8.1 years, 43.4% male) without CKD were included. Physical frailty was defined by Fried Frailty phenotypes (FP) and Rockwood Frailty Index (FI). New-onset CKD was identified through hospital inpatient records and death register. GRS for CKD were calculated based on 27 single-nucleotide variants. Cox proportional hazards models and Fine-Gray competing risk models were applied to evaluate the hazard ratios (HRs) and 95% confidence intervals (CIs). During a median follow-up of 14.1 years, 5771 incident CKD cases were documented. Cox models indicated that prefrailty and frailty were associated with an increased CKD risk, with HRs (95% CI) of 1.17 (1.10-1.24) and 1.74 (1.58-1.91) for FP, and 1.33 (1.24-1.41) and 1.87 (1.72-2.04) for FI. These associations remained significant after adjusting for competing risks. Estimated population attributable fractions of frailty for CKD were 5.6% (FP) and 9.9% (FI). A positive non-linear relationship between FI and CKD incidence was observed in women (P non-linearity < 0.001). Associations were strengthened in women and those under 60 years of age (P for interaction < 0.05). Frailty significantly interacted with genetic susceptibility (P for interaction < 0.001), with the highest CKD risk observed in participants with high genetic risk and frailty (HR, 95% CI; FI: 2.28, 1.90-2.74; FP: 1.88, 1.52-2.33). Pre-frailty and frailty associated with incident CKD, with further modulation by GRS. These findings have important implications of frailty assessment and management in CKD prevention.

Indexed as

FrailtyGenetic Predisposition to DiseaseRenal Insufficiency, ChronicAdultAgedFemaleHumansIncidenceMaleMiddle AgedPhenotypePolymorphism, Single NucleotideProportional Hazards ModelsProspective StudiesRisk FactorsChronic kidney diseasesFrailty indexFrailty phenotypeGenetic risk scoreUK biobank

Identifiers

PMID40287467
PMCPMC12033349

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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.