A Non-Invasive Prediction Model for Non-Alcoholic Fatty Liver Disease in Adults with Type 2 Diabetes Based on the Population of Northern Urumqi, China

A Non-Invasive Prediction Model for Non-Alcoholic Fatty Liver Disease in Adults with Type 2 Diabetes Based on the Population of Northern Urumqi, China

Mingyue Xue,1,2 Xiaoping Yang,3 Yuan Zou,3 Tao Liu,3 Yinxia Su,3 Cheng Li,4 Hua Yao,3 Shuxia Wang3 1Hospital of Traditional Chinese Medicine Affiliated to the Fourth Clinical Medical College of Xinjiang Medical University, Urumqi 830011, People’s Republic of China; 2College of Public Healt...

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Bibliographic Details
Main Authors: Xue M, Yang X, Zou Y, Liu T, Su Y, Li C, Yao H, Wang S
Format: Article
Language:English
Published: Dove Medical Press 2021-02-01
Series:Diabetes, Metabolic Syndrome and Obesity
Subjects:
type 2 diabetes mellitus
non-alcoholic fatty liver disease
screening tool
nomogram;
Online Access:https://www.dovepress.com/a-non-invasive-prediction-model-for-non-alcoholic-fatty-liver-disease--peer-reviewed-article-DMSO

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https://www.dovepress.com/a-non-invasive-prediction-model-for-non-alcoholic-fatty-liver-disease--peer-reviewed-article-DMSO

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