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| Research progress on risk prediction of type 2 diabetes mellitus based on routine physical examination indicators |
| SU Yinxia1, LU Yaoqin2, TIAN Xianghua1, LI Li1, YAO Hua3
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1. School of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, Xinjiang 830000, China;
2. Urumqi Center for Disease Control and Prevention, Urumqi, Xinjiang 830000, China;
3. Xinjiang Medical University, Urumqi, Xinjiang 830000, China |
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Abstract Type 2 diabetes mellitus (T2DM) is characterized by long duration of disease and latent onset. Risk prediction models have shown potential for f early diagnosis and early treatment of diseases and formulation of targeted interventions. There is an increase in researches on risk prediction models for T2DM during the recent years, which provides the basis for precision tertiary prevention of T2DM; however, most studies suffer from problems of small sample size, complicated variables and difficulty in extensive applications. This review summarizes the risk prediction models for T2DM based on economic and easily available routine physical examination indicators, so as to provide insights into further studies on easy-to-perform and -popularize risk prediction models for T2DM.
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Received: 04 August 2022
Revised: 25 October 2022
Published: 13 December 2022
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