Low Muscle Mass is Independently Associated with an Increased Risk of Having Lower Limb Atherosclerosis in T2DM Patients

Low muscle mass is independently associated with an increased risk of having lower limb atherosclerosis in T2DM patients. And there may be some relationship between BTMs and arteriosclerosis of the lower limb atherosclerosis in T2DM.

Authors

Institutions

Publication Details

Journal
Diabetes Metabolic Syndrome and Obesity
Published
2024-11-01
DOI
https://doi.org/10.2147/dmso.s492973
Citations
2
Primary Topic
Nutrition and Health in Aging
Type
article
Field-Weighted Citation Impact
0.65
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Low Muscle Mass is Independently Associated with an Increased Risk of Having Lower Limb Atherosclerosis in T2DM Patients

Bin Xiao, Sijie Deng, Hanlin Yin, Dan Lü et al.
2 citations
Diabetes Metabolic Syndrome and Obesity
Nutrition and Health in Aging
0.65
article

Low Muscle Mass is Independently Associated with an Increased Risk of Having Lower Limb Atherosclerosis in T2DM Patients

Bin Xiao, Sijie Deng, Hanlin Yin, Dan Lü, Shishi Lv, Yun Li, Xiaoqian Wang, Yiying Liu, Huiwen Xu, Sen Wang
article en
2 citations

Abstract

Low muscle mass is independently associated with an increased risk of having lower limb atherosclerosis in T2DM patients. And there may be some relationship between BTMs and arteriosclerosis of the lower limb atherosclerosis in T2DM.

Diabetes Metabolic Syndrome and ObesityVol. Volume 17
Deyang Stomatological Hospital (CN)
Good health and well-being
Openalex Percentile: Top 28%
Nutrition and Health in Aging
0.65
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.