Risk prediction models for postpartum glucose intolerance in women with a history of gestational diabetes mellitus: a scoping review

ConclusionThe risk prediction models included in this review demonstrated favorable prediction accuracy. However, due to variations in construction methodologies, direct comparison of their performance is challenging. These models exhibited certain shortcomings, such as inadequate handling of missing data and a lack of internal and external validation, resulting in a high risk of bias. Therefore, it is recommended that these models be updated and externally validated. The development of prospective, multi-center studies is encouraged to construct predictive models with low risk of bias and high clinical applicability, ultimately guiding evidence-based clinical practice.
Source: Journal of Diabetes and Metabolic Disorders - Category: Endocrinology Source Type: research