The focus of GDM screening, assessment, and monitoring is shifting from traditional oral glucose tolerance test (OGTT)-based diagnosis to biomarker-based early prediction and AI-driven digital monitoring throughout pregnancy, highlighting the importance of patient characteristics and risk factors. Future research will contribute to improving clinical practices for gestational diabetes and enhancing maternal and infant health. This study's integrated bibliometric and LDA topic modeling approach clarifies the knowledge structure and evolutionary trends of the GDM screening-assessment-monitoring continuum, providing targeted new perspectives for further exploration in related fields.
Fu et al. (Thu,) studied this question.