Prediction Models for Maternal and Offspring Short- and Long-Term Outcomes Following Gestational Diabetes: A Systematic Review.

ABSTRACT:

Objectives

Gestational diabetes mellitus (GDM), affecting one in seven pregnant women worldwide, can have short- and long-term adverse outcomes for both the mother and her baby. Despite a raft of prognostic models aiming to predict adverse GDM outcomes, very few have impacted clinical practice. This systematic review summarizes and critically evaluates prediction models for GDM outcomes, to identify promising models for further evaluation.

Methods

We searched EMBASE, MEDLINE, Web of Science, CINAHL, and CENTRAL for studies that reported the development or validation of predictive models for GDM outcomes in mother or offspring (PROSPERO: CRD42023396697).

Results

Sixty-four articles detailing 103 developed and 12 validated models were included in this review. Of these,

SUBMITTER: Ghadban YA 

PROVIDER: S-EPMC12318903 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature