Evidence map›Paper›PMID 41245739›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2025

Quantitative CT Assessment of Skeletal Muscle and Abdominal Fat Distribution: Predictive Value for Type 2 Diabetes Mellitus.

Bo Zhang, Zhe Wu, Chao Jiang, Ning Li, Xiujing An, Lufeng Tian, Yang Cai, Yanjun Zou, Yi Tang

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 1 paper.

0numbers the graph read from it
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

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

1 citing paper in PubMed.

  1. 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.

Bo Zhang *College of The Third Clinical Medical College, Jinzhou Medical University, Jinzhou, Liaoning Province, People's Republic of China.ORCID 0009-0001-3533-7784
Zhe Wu *Department of Radiology, Fushun Central Hospital, Fushun, Liaoning Province, People's Republic of China.ORCID 0000-0003-2135-6420
Chao JiangDepartment of Radiology, Fushun Central Hospital, Fushun, Liaoning Province, People's Republic of China.
Ning LiDepartment of Radiology, Fushun Central Hospital, Fushun, Liaoning Province, People's Republic of China.
Xiujing AnCollege of The Third Clinical Medical College, Jinzhou Medical University, Jinzhou, Liaoning Province, People's Republic of China.
Lufeng TianDepartment of Internal Medicine, Fushun Central Hospital, Fushun, Liaoning Province, People's Republic of China.
Yang CaiDepartment of Medical Record Room, Fushun Central Hospital, Fushun, Liaoning Province, People's Republic of China.
Yanjun ZouDepartment of Radiology, Ansteel Group General Hospital, Anshan, Liaoning Province, People's Republic of China.
Yi TangDepartment of Endocrinology, Fushun Central Hospital, Fushun, Liaoning Province, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: In this study, we aimed to investigate the association between skeletal muscle area (SMA), subcutaneous fat area (SFA), and visceral fat area (VFA), quantified using computed tomography (CT), and the risk of type 2 diabetes mellitus (T2DM). We also evaluated the predictive performance of these parameters for assessing T2DM risk. Methods: We used a retrospective case-control design, including 207 hospitalized patients who underwent abdominal quantitative CT (QCT) scans at Fushun Central Hospital from July 2021 to July 2022. Using QCT technology, SMA, SFA, and VFA were measured at the level of the third lumbar vertebra. Additionally, the skeletal muscle index (SMI=SMA/height Results: Body mass index, systolic blood pressure, diastolic blood pressure, fasting blood glucose, VFA, and SFA were significantly higher in the T2DM group compared with the control group, and SMA and SMI were significantly lower (all Conclusion: Visceral fat accumulation was an independent risk factor for T2DM, and increased skeletal muscle mass showed a protective effect. The combined SMI and VFA model showed significantly enhanced predictive ability for T2DM risk, suggesting its potential as a clinical biomarker.

Indexed as

risk predictionskeletal muscle indexsubcutaneous fat areatype 2 diabetes mellitusvisceral fat area

Identifiers

PMID41245739
PMCPMC12619564

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.