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Systematic Review and Meta-Analysis of Diagnosing Gestational Diabetes Mellitus With One-Step or Two-Step Approaches and Associations With Adverse Pregnancy Outcomes Publisher Pubmed



Hosseini E1 ; Janghorbani M1
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Authors Affiliations
  1. 1. Isfahan Endocrine and Metabolism Research Center, Isfahan University of Medical Sciences, Isfahan, Iran

Source: International Journal of Gynecology and Obstetrics Published:2018


Abstract

Background: There is an ongoing discussion about the optimal diagnostic strategy for gestational diabetes mellitus (GDM). Objective: To assess the magnitude of the association between GDM diagnosed with the one-step (International Association of Diabetes and Pregnancy Study Groups criteria) or two-step (Carpenter and Coustan criteria) approach and selected adverse pregnancy outcomes. Search strategy: Five electronic databases were searched up to October 2017 using Medical Subject Headings for each adverse outcome combined with the term “gestational diabetes.”. Selection criteria: Observational studies assessing the one-step versus the two-step diagnostic approach in GDM. Data collection and analysis: Relative risks were extracted and random-effects models were used to estimate pooled relative risks (RRs). Main results: A total of 41 663 participants from nine studies were included. Gestational diabetes mellitus was significantly associated with pre-eclampsia (RR 1.68 vs RR 1.77), cesarean delivery (RR 1.28 vs RR 1.33), and large for gestational age (RR 1.44 vs RR 1.68) when diagnosed with the one-step versus the two-step approach. A one-step diagnosis also increased the risks of neonatal intensive care unit admission and gestational hypertension, whereas a two-step diagnosis increased the incidence of macrosomia. Conclusions: Women with GDM diagnosed with either the one-step or the two-step approach were at increased risk for selected adverse pregnancy outcomes. The associations with the two-step method were slightly stronger. © 2018 International Federation of Gynecology and Obstetrics
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