Evidence map›Paper›PMID 40621396›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2025

Relationship Between Fat-to-Muscle Ratio and Nonalcoholic Fatty Liver Disease in Middle-Aged and Older Adults with Type 2 Diabetes: Cross-Sectional Study.

Lei Zhang, Yulu Sun, Yiran Zhao, Xin Wu, Xiaofang Han

Abstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Lei ZhangDepartment of Endocrinology, The Second People's Hospital of Hefei, Hefei Hospital Affiliated to Anhui Medical University, Hefei, Anhui, 230011, People's Republic of China.
Yulu SunDepartment of Endocrinology, The Second People's Hospital of Hefei, Hefei Hospital Affiliated to Anhui Medical University, Hefei, Anhui, 230011, People's Republic of China.
Yiran ZhaoDepartment of Endocrinology, The Second People's Hospital of Hefei, Hefei Hospital Affiliated to Anhui Medical University, Hefei, Anhui, 230011, People's Republic of China.
Xin WuDepartment of Endocrinology, The Second People's Hospital of Hefei, Hefei Hospital Affiliated to Anhui Medical University, Hefei, Anhui, 230011, People's Republic of China.
Xiaofang HanDepartment of Endocrinology, The Second People's Hospital of Hefei, Hefei Hospital Affiliated to Anhui Medical University, Hefei, Anhui, 230011, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The fat-to-muscle mass ratio (FMR) is an innovative metric that integrates fat and muscle constituents. The aim of this study was to examine the efficacy of FMR in predicting non-alcoholic fatty liver disease (NAFLD) in individuals with T2DM. Methods: This cross-sectional study enrolled 307 hospitalized patients aged 50 years and older with T2DM. NAFLD was identified during ultrasound examination. Fat mass and muscle mass were quantified using dual-energy X-ray absorptiometry (DXA), with FMR calculated as fat mass (kg) divided by muscle mass (kg). Results: FMR was markedly elevated in the NAFLD patient group compared to the healthy control group (p<0.001). Sex-specific analysis demonstrated notable sex differences in the diagnostic efficacy of this indicator for fatty liver: the area under the curve (AUC) of the subject's work characteristics was significantly greater in females compared to males (0.860 vs 0.805), and the optimal threshold was also significantly elevated in females relative to males (0.563 vs 0.363). FMR was established as an independent predictor of fatty liver through multifactorial regression modeling, revealing a risk ratio of 28.171 (95% CI 7.008-113.248, p<0.001) in males, while the risk ratio for females was 3.259 (95% CI 1.221-8.700, p=0.018), indicating higher predictive value in males. Conclusions: FMR was significantly and independently linked to an increased risk of NAFLD in middle-aged and elderly individuals with T2DM, a discovery that underpins the rationale for enhancing targeted interventions and prognostic management for patients with diabetes mellitus and fatty liver disease.

Indexed as

body compositionfat-to-muscle rationon-alcoholic fatty liver diseasetype 2 diabetes mellitus

Identifiers

PMID40621396
PMCPMC12227005

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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.