Evidence map›Paper›PMID 42336394›Full record

Observational studyRenal failure2026

Frailty index and type 2 diabetes with renal complications: insights from Mendelian randomization and retrospective observational study.

Huanhua Wu, Jiaxin Lin, Xiongbin Wu, Xiaozheng Cao, Biao Wu, Hongmei Liu

Abstract readObservational Study
In one paragraph

Observational study in Renal failure, 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

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.

Huanhua WuCentral Laboratory, The Affiliated Shunde Hospital of Jinan University, Foshan, Guangdong Province, PR China.ORCID 0000-0002-2690-9234
Jiaxin LinDepartment of Nephrology, The Affiliated Shunde Hospital of Jinan University, Foshan, Guangdong Province, PR China.
Xiongbin WuDepartment of Nephrology, The Affiliated Shunde Hospital of Jinan University, Foshan, Guangdong Province, PR China.
Xiaozheng CaoCentral Laboratory, The Affiliated Shunde Hospital of Jinan University, Foshan, Guangdong Province, PR China.
Biao WuDepartment of Nuclear Medicine and PET/CT-MRI Center, The First Affiliated Hospital of Jinan University & Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, Guangdong Province, PR China.
Hongmei LiuDepartment of Clinical Nutrition, The Affiliated Shunde Hospital of Jinan University, Foshan, Guangdong Province, PR China.ORCID 0009-0009-7599-0890

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate the relationship between frailty and diabetic kidney disease (DKD)-related renal complications using Mendelian randomization (MR) and complementary clinical analysis.

methodsTwo-sample MR was performed using genome-wide association study summary statistics to assess the association between genetically predicted frailty and type 2 diabetes with renal complications. Functional annotation and sensitivity analyses, including exclusion of potentially pleiotropic variants and multivariable MR, were conducted. A retrospective hemodialysis cohort (

resultsGenetically predicted frailty was significantly associated with increased risk of type 2 diabetes with renal complications (inverse-variance weighted odds ratio = 5.30, 95% confidence interval: 1.89-14.91,

conclusionsFrailty was associated with DKD-related renal complications, and forward MR suggested a potential causal contribution. Frailty may represent a clinically relevant marker of systemic vulnerability in this setting, although further validation in larger prospective cohorts is needed.

Indexed as

Diabetes Mellitus, Type 2Diabetic NephropathiesFrailtyKidney Failure, ChronicAgedFemaleGenome-Wide Association StudyHumansMachine LearningMaleMendelian Randomization AnalysisMiddle AgedRenal DialysisRetrospective StudiesDiabetic kidney diseaseFrailtyMachine learningMendelian randomizationNeuromuscular dysfunction

Identifiers

PMID42336394
PMCPMC13292309

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.