Evidence map›Paper›PMID 40033441›Full record

ArticleEuropean journal of medical research2025

Association of sarcopenia index, based on serum creatinine and cystatin C, with incident diabetes mellitus.

Xuanyu Wang, Yan Bai, Fan Zhang, Huafa Que

Abstract read
In one paragraph

Article in European journal of medical research, 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

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3 · Its place in the literature

Who cites it

3 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

4 authors.

Xuanyu WangDepartment of Surgery, Longhua Hospital Shanghai University of Traditional Chinese Medicine, No. 725, Wanping South Road, Xuhui District, Shanghai, China.
Yan BaiDepartment of Endocrine, Longhua Hospital Shanghai University of Traditional Chinese Medicine, No. 725, Wanping South Road, Xuhui District, Shanghai, China.
Fan ZhangDepartment of Nephrology, Longhua Hospital Shanghai University of Traditional Chinese Medicine, No. 725, Wanping South Road, Xuhui District, Shanghai, China. fan_zhang1993@163.com.
Huafa QueDepartment of Surgery, Longhua Hospital Shanghai University of Traditional Chinese Medicine, No. 725, Wanping South Road, Xuhui District, Shanghai, China. huafaque@126.com.

Funding

Shanghai Clinical Key Specialty Construction Project shslczdzk03801
6 · The paper itself

Abstract

backgroundSarcopenia, characterized by loss of muscle mass and strength, has been linked to various health outcomes, including diabetes mellitus. This study aims to investigate the association of sarcopenia index, based on serum creatinine and cystatin C levels, with incident diabetes mellitus in middle-aged and older adults in China.

methodsThis study extracted data from 2015 to 2020 China Health and Retirement Longitudinal Study (CHARLS), including age ≥ 45-year adults without diabetes mellitus at baseline. Sarcopenia index was calculated based on serum creatinine and cystatin C levels, and incident diabetes mellitus was assessed through follow-up surveys. Cox proportional hazards regression models were used to analyze the association between sarcopenia index and incident diabetes mellitus, adjusting for potential confounders, with hazard ratio (HR) with 95% confidence interval (95% CI) reported.

resultsDuring a mean follow-up period of 5.0 years, a total of 501 new cases of diabetes were recorded. A total of 7718 participants were included in the analysis. The median age was 60 years, and 46.2% were male. During a mean follow-up period of 5.0 years, 501 cases of incident diabetes mellitus were identified. After adjusting for covariates, Compared with participants in the lowest quartile, the corresponding diabetes HRs (95% CIs) for participants in the second, third, and fourth quartiles were 0.930 (95% CI 0.724-1.193; P = 0.567); 0.892 (95% CI 0.685-1.162; P = 0.398), 0.869 (95% CI 0.657-1.150; P = 0.327). Restricted cubic spline curves revealed that incident rate decreased with increase in sarcopenia index.

conclusionsThis study provides national longitudinal evidence in China on the association of sarcopenia index, based on serum creatinine and cystatin C levels, with incident diabetes mellitus in middle-aged and older adults. Our findings suggest that sarcopenia index may be a useful biomarker for predicting the risk of diabetes mellitus in this population.

Indexed as

CreatinineCystatin CDiabetes MellitusSarcopeniaAgedBiomarkersChinaFemaleFollow-Up StudiesHumansIncidenceLongitudinal StudiesMaleMiddle AgedRisk FactorsBiomarkersCreatinineCST3 protein, humanCystatin CCohort studyDiabetes mellitusIncidentSarcopenia index

Identifiers

PMID40033441
PMCPMC11877682

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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.