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Diabetes, Metabolic Syndrome and Obesity Volume 14, 2021 - Issue
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Original Research

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 Xue1 Hospital of Traditional Chinese Medicine Affiliated to the Fourth Clinical Medical College of Xinjiang Medical University, Urumqi 830011, People’s Republic of China;2 College of Public Health, Xinjiang Medical University, Urumqi, Xinjiang 830011, People’s Republic of China
,
Xiaoping Yang3 Health Management Institute, Xinjiang Medical University, Urumqi 830011, People’s Republic of China
,
Yuan Zou3 Health Management Institute, Xinjiang Medical University, Urumqi 830011, People’s Republic of China
,
Tao Liu3 Health Management Institute, Xinjiang Medical University, Urumqi 830011, People’s Republic of China
,
Yinxia Su3 Health Management Institute, Xinjiang Medical University, Urumqi 830011, People’s Republic of China
,
Cheng Li4 The First Affiliated Hospital of Xinjiang Medical University, Urumqi 830011, People’s Republic of China
,
Hua Yao3 Health Management Institute, Xinjiang Medical University, Urumqi 830011, People’s Republic of ChinaCorrespondence[email protected] [email protected]
ORCID Iconhttps://orcid.org/0000-0002-9572-5578
ORCID Icon &
Shuxia Wang3 Health Management Institute, Xinjiang Medical University, Urumqi 830011, People’s Republic of China
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Pages 443-454 | Published online: 02 Feb 2021

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Read on this site (1)

Liwei Ji, Xintian Cai, Yang Bai & Tao Li. (2021) Application of a Novel Prediction Model for Predicting 2-Year Risk of Non-Alcoholic Fatty Liver Disease in the Non-Obese Population with Normal Blood Lipid Levels: A Large Prospective Cohort Study from China. International Journal of General Medicine 14, pages 2909-2922.
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Articles from other publishers (1)

Wentao Zhu, Pei Shi, Jiwei Fu, An Liang, Ting Zheng, Xiaoping Wu & Songsong Yuan. (2022) Development and application of a novel model to predict the risk of non-alcoholic fatty liver disease among lean pre-diabetics with normal blood lipid levels. Lipids in Health and Disease 21:1.
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