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Dataset Information

Protocol for development and validation of a clinical prediction model for adverse pregnancy outcomes in women with gestational diabetes.


ABSTRACT:

Introduction

Gestational diabetes (GDM) is a common yet highly heterogeneous condition. The ability to calculate the absolute risk of adverse pregnancy outcomes for an individual woman with GDM would allow preventative and therapeutic interventions to be delivered to women at high-risk, sparing women at low-risk from unnecessary care. The Prediction for Risk-Stratified care for women with GDM (PeRSonal GDM) study will develop, validate and evaluate the clinical utility of a prediction model for adverse pregnancy outcomes in women with GDM.

Methods and analysis

We undertook formative research to conceptualise and design the prediction model. Informed by these findings, we will conduct a model development and validation study using a retrospective cohort design with participan

SUBMITTER: Cooray SD 

PROVIDER: S-EPMC7646337 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature