A nomogram for predicting metabolic-associated fatty liver disease in non-obese newly diagnosed type 2 diabetes patients

The nomogram demonstrated effectiveness as a screening tool for evaluating the risk of MAFLD in T2DM individuals without obesity, facilitating early identification and supporting enhanced management strategies for MAFLD.

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Publication Details

Journal
Frontiers in Endocrinology
Published
2025-05-29
DOI
https://doi.org/10.3389/fendo.2025.1521168
Citations
5
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
6.77

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article

A nomogram for predicting metabolic-associated fatty liver disease in non-obese newly diagnosed type 2 diabetes patients

Yuliang Cui, Fenghua Li, Yunyun Cheng, Tingting Li et al.
5 citations
Frontiers in Endocrinology
Liver Disease Diagnosis and Treatment
6.77
article

A nomogram for predicting metabolic-associated fatty liver disease in non-obese newly diagnosed type 2 diabetes patients

Yuliang Cui, Fenghua Li, Yunyun Cheng, Tingting Li, Haiyan Shi, Wanjing Sun
article en
5 citations

Abstract

The nomogram demonstrated effectiveness as a screening tool for evaluating the risk of MAFLD in T2DM individuals without obesity, facilitating early identification and supporting enhanced management strategies for MAFLD.

Frontiers in EndocrinologyVol. 16
Qilu Hospital of Shandong University (CN), Dezhou University (CN)
Natural Science Foundation of Shandong Province
Openalex Percentile: Top 3%
Liver Disease Diagnosis and Treatment
6.77
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