Prediction models for the risk of gestational diabetes: a systematic review.

ABSTRACT:

Background

Numerous prediction models for gestational diabetes mellitus (GDM) have been developed, but their methodological quality is unknown. The objective is to systematically review all studies describing first-trimester prediction models for GDM and to assess their methodological quality.

Methods

MEDLINE and EMBASE were searched until December 2014. Key words for GDM, first trimester of pregnancy, and prediction modeling studies were combined. Prediction models for GDM performed up to 14 weeks of gestation that only include routinely measured predictors were eligible.Data was extracted by the CHecklist for critical Appraisal and data extraction for systematic Reviews of prediction Modelling Studies (CHARMS). Data on risk predictors and performance measures were also ext

SUBMITTER: Lamain-de Ruiter M 

PROVIDER: S-EPMC6457144 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature