Research progress on risk prediction of type 2 diabetes mellitus based on routine physical examination indicators
10.19485/j.cnki.issn2096-5087.2022.12.008
- Author:
Yinxia SU
;
Yaoqin LU
;
Xianghua TIAN
;
Li LI
;
Hua YAO
- Publication Type:Journal Article
- Keywords:
type 2 diabetes mellitus;
routine physical examination;
risk prediction;
health big data;
electronic health records
- From:
Journal of Preventive Medicine
2022;34(12):1230-1234
- CountryChina
- Language:Chinese
-
Abstract:
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.
- Full text:基于常规体检指标的2型糖尿病风险预测研究进展.pdf
