Research progress on the prediction models of gestational diabetes mellitus based on different predictive biomarkers
10.3760/cma.j.cn115822-20240430-00068
- VernacularTitle:基于不同预测标志物建立的妊娠糖尿病预测模型研究进展
- Author:
Yanbei DUO
1
;
Weigang ZHAO
1
Author Information
1. 中国医学科学院 北京协和医学院 北京协和医院内分泌科 国家卫生健康委员会内分泌重点实验室，北京 100730
- Publication Type:Journal Article
- Keywords:
Gestational diabetes mellitus;
Prediction model;
Predictive biomarkers;
Early prediction
- From:
Chinese Journal of Clinical Nutrition
2025;33(1):54-64
- CountryChina
- Language:Chinese
-
Abstract:
Gestational diabetes mellitus (GDM) is one of the most common complications of pregnancy, which affects maternal and infantile glucose metabolism both during pregnancy and in the long-term postpartum and is closely related to several perinatal complications. In recent years, many studies devote to exploring early predictive biomarkers of GDM, and a variety of early prediction models of GDM have been established using clinical indicators, biochemical markers, metabolic/proteomic markers, gene polymorphisms, etc. This review summaries and evaluates the published GDM prediction models in terms of research types, modeling methods, indicators, model prediction performance, and validation, attempting to inform the early prevention of GDM.
