Evidence map›Paper›PMID 40980292›Full record

ArticleWorld journal of diabetes2025

Magnetic resonance imaging derived biomarkers for the diagnosis of type 2 diabetes with insulin resistance: A pilot study.

Bo-Wen Hou, Zheng Ran, Yi-Tong Li, Jing Zhang, Yong-Qiang Chu, Nadeer M Gharaibeh, Xiao-Ming Li

Abstract read
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Article in World journal of diabetes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing 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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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

1 citing paper in PubMed.

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4 · The record

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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

7 authors.

Bo-Wen HouDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei Province, China.
Zheng RanDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei Province, China.
Yi-Tong LiDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei Province, China.
Jing ZhangDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei Province, China.
Yong-Qiang ChuDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei Province, China.
Nadeer M GharaibehDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei Province, China.
Xiao-Ming LiDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei Province, China. lilyboston2002@tjh.tjmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInsulin resistance (IR) plays a critical role in the musculoskeletal metabolic disorders associated with type 2 diabetes mellitus (T2DM).

aimTo develop multiparametric magnetic resonance imaging (MRI)-derived biomarkers and diagnostic models for non-invasive identification and stratification of IR.

methodsParameters of paravertebral muscles and vertebra were evaluated using quantitative chemical shift-encoded MRI and diffusion tensor imaging protocols. Tripartite cohort analyses were conducted through Kruskal-Wallis

resultsThis study evaluated 97 subjects (control: 39 subjects, T2DM-IR: 18 subjects, T2DM patients without IR: 40 subjects) using multiparametric MRI protocols. Significant intergroup differences were observed in the cross-sectional area (

conclusionIMCL in erector emerges as a highly discriminative metric for T2DM-IR diagnosis. Multiparametric MRI enables non-invasive quantification of early musculoskeletal metabolic injury, providing reliable biomarkers for IR identification and stratification.

Indexed as

Fat infiltrationInsulin resistanceMagnetic resonance imagingMuscleType 2 diabetes mellitus

Identifiers

PMID40980292
PMCPMC12444292

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