Evidence map›Paper›PMID 42295631›Full record

ArticleInternational urology and nephrology2026

Deficit accumulation frailty and risk of incident chronic kidney disease: a prospective analysis of the UK biobank and CHARLS cohorts.

Lianchi Qu, Zelong Pan, Lerong Cheng, Minxin Jiang, Mengyao Gao, Xiaofeng Lu, Guosheng Wang, Guoqi Cai, Faming Pan

Abstract read
PubMed Publisher
In one paragraph

Article in International urology and nephrology, 2026. 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

5 · Who and what money

Authors and funding

9 authors.

Lianchi Qu *Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China.
Zelong Pan *Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China.
Lerong ChengDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China.
Minxin JiangDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China.
Mengyao GaoDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China.
Xiaofeng LuDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China.
Guosheng WangDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China.
Guoqi CaiDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China.
Faming PanDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China. famingpan@ahmu.edu.cn.ORCID http://orcid.org/0000-0003-4242-1025

Funding

academic and technical leaders in Anhui province 2017D140Clinical Medicine Discipline construction project of Anhui Medical University 2021lcxk043the National Natural Science Foundation of China 82373672
6 · The paper itself

Abstract

backgroundFrailty is recognized as a clinical marker of reduced physiological reserve, but its longitudinal impact on renal health across diverse populations remains unclear. We investigated the association between baseline frailty and incident chronic kidney disease (CKD) risk in a European and an East Asian cohort.

methodsWe analyzed data from the UK Biobank (UKB, N = 451,067) and the China Health and Retirement Longitudinal Study (CHARLS, N = 7,013). Frailty was quantified using a deficit-accumulation Frailty Index (FI). Incident CKD was identified via electronic health records in UKB and biochemical testing or self-reports in CHARLS. Cox proportional hazards models and restricted cubic splines (RCS) were used to evaluate risks and dose-response relationships. The proportional hazards assumption was tested using Schoenfeld residuals, and Fine-Gray subdistribution hazard models were performed to account for the competing risk of death. Cumulative risk curves for incident CKD were plotted using the Kaplan-Meier method, and group differences were assessed with the log-rank test. Subgroup analyses were also performed.

resultsOver the median follow-up, frailty was significantly associated with incident CKD risk in both cohorts. In the UKB, hazard ratios (HRs) for pre-frailty and frailty compared to robust individuals were 1.64 (95% CI: 1.59, 1.69) and 2.75 (95% CI: 2.61, 2.89), respectively. In CHARLS, corresponding HRs were 1.45 (95% CI: 1.20, 1.75) and 1.69 (95% CI: 1.35, 2.11). Fine-Gray subdistribution hazard models confirmed the robustness of these findings to the competing risk of death (Table S5). We observed a significant interaction with age in both cohorts, with stronger associations in participants under 65 years.

conclusionFrailty was associated with incident CKD in both cohorts. These findings support the value of frailty assessment for identifying individuals at elevated renal risk, particularly before age 65 years.

Indexed as

AgingChronic kidney diseaseCohort studyFrailty

Identifiers

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.