Evidence map›Paper›PMID 40873790›Full record

ArticleFrontiers in medicine2025

Constructing the prediction model based on DXA between sarcopenia and BMD in middle-aged and elderly men with T2DM.

Guoyang Zhang, Lidan Huang, Liangzhong Liao

Abstract read
In one paragraph

Article in Frontiers in medicine, 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

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2 · The registry

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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

3 authors.

Guoyang Zhang *Department of Radiology, Xiamen Hospital of Traditional Chinese Medicine, Xiamen, China.
Lidan Huang *Department of Radiology, Xiamen Hospital of Traditional Chinese Medicine, Xiamen, China.
Liangzhong LiaoDepartment of Radiology, Xiamen Hospital of Traditional Chinese Medicine, Xiamen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore the relationship between sarcopenia and bone mineral density (BMD) in middle-aged and elderly male patients with type 2 diabetes mellitus (T2DM), construct a prediction model for sarcopenia based on dual-energy X-ray absorptiometry (DXA), and evaluate its clinical value. Methods: A total of 523 middle-aged and elderly male patients with T2DM in the hospital from January 2021 to December 2024 were selected and divided into the training set (366 cases) and the validation set (157 cases) at a ratio of 7:3. The BMD Results: The incidence of sarcopenia was 27.05% (99/366) in the training set and 28.02% (44/157) in the validation set. Multivariate analysis showed that age, HbA1c, and HOMA-IR were independent risk factors for sarcopenia, while the lumbar L1-L4 Conclusion: The prediction model constructed based on DXA can effectively predict the risk of sarcopenia in middle-aged and elderly male patients with T2DM, providing a basis for clinical early screening and intervention.

Indexed as

bone mineral densitydual-energy X-ray absorptiometryprediction modelsarcopeniatype 2 diabetes mellitus

Identifiers

PMID40873790
PMCPMC12378758

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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.