A risk-prediction model using parameters of maternal body composition to identify gestational diabetes mellitus in early pregnancy
Abstract
Accurate early risk-prediction for gestational diabetes mellitus (GDM) would target intervention and prevention in women at the highest risk. We evaluated maternal risk-factors and parameters of body-composition to develop a prediction model for GDM in early gestation.A prospective observational study was undertaken. Pregnant women aged between 18 and 50 y of age with gestational age between 10 and 16 weeks were included in the study. Women aged...
Paper Details
Title
A risk-prediction model using parameters of maternal body composition to identify gestational diabetes mellitus in early pregnancy
Published Date
Oct 1, 2021
Journal
Volume
45
Pages
312 - 321
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History