Construction and evaluation of sarcopenia risk prediction model for patients with diabetes: a study based on the China health and retirement longitudinal study (CHARLS)

This comprehensive nomogram presented high clinical predictability, which was a promising tool to evaluate the risk of sarcopenia in patients with diabetes.

Authors

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Publication Details

Journal
Diabetology & Metabolic Syndrome
Published
2024-09-16
DOI
https://doi.org/10.1186/s13098-024-01467-w
Citations
7
Primary Topic
Nutrition and Health in Aging
Type
article
Field-Weighted Citation Impact
2.29

Funders

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article

Construction and evaluation of sarcopenia risk prediction model for patients with diabetes: a study based on the China health and retirement longitudinal study (CHARLS)

Mingrui Zou, Zhenxing Shao
7 citations
Diabetology & Metabolic Syndrome
Nutrition and Health in Aging
2.29
article

Construction and evaluation of sarcopenia risk prediction model for patients with diabetes: a study based on the China health and retirement longitudinal study (CHARLS)

Mingrui Zou, Zhenxing Shao
article en
7 citations

Abstract

This comprehensive nomogram presented high clinical predictability, which was a promising tool to evaluate the risk of sarcopenia in patients with diabetes.

Diabetology & Metabolic SyndromeVol. 16(1)
Peking University (CN), Peking University First Hospital (CN), Peking University Third Hospital (CN), Capital University of Physical Education and Sports (CN)
National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 11%
Nutrition and Health in Aging
2.29
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