Evidence map›Paper›PMID 41177536›Full record

ArticleRenal failure2025

Baseline and long-term frailty transitions and rapid estimated glomerular filtration rate decline: evidence from two large population-based studies.

Ying Deng, CaiLian Cheng, JianHao Kang, XingHua Guo, ShaoMin Li, HuaLiang Liang, JiaHui Lai, LeiLe Tang, Xun Liu

Abstract read
In one paragraph

Article in Renal failure, 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
  2. Article
  3. Article
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.

Ying DengDepartment of Nephrology, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China.
CaiLian ChengDepartment of Nephrology, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China.
JianHao KangDepartment of Nephrology, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China.
XingHua GuoDepartment of Rheumatology, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China.
ShaoMin LiDepartment of Nephrology, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China.
HuaLiang LiangDepartment of Nephrology, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China.
JiaHui LaiDepartment of Nephrology, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China.
LeiLe TangDepartment of Cardiology, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China.
Xun LiuDepartment of Nephrology, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Frailty is widely recognized to be associated with kidney function decline, but its longitudinal relationship with rapid estimated glomerular filtration rate (eGFR) decline remains unclear. This study examined associations between frailty measures and rapid eGFR decline using both frailty phenotype (FP) and frailty index (FI) in two large cohorts. We analyzed baseline frailty data from the China Health and Retirement Longitudinal Study (CHARLS) and Health and Retirement Study (HRS), with longitudinal trajectory analysis in HRS participants. Rapid eGFR decline was defined as annual decrease ≥4 mL/min/1.73 m

Indexed as

Frail ElderlyFrailtyGlomerular Filtration RateRenal Insufficiency, ChronicAgedAged, 80 and overChinaDisease ProgressionFemaleHumansLongitudinal StudiesMaleMiddle Ageddynamic natureFrailtykidney function declineLongitudinal study

Identifiers

PMID41177536
PMCPMC12581771

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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 OpenQuestion graph.