Eligibility criteria for the systematic review
To determine the effect of CGM on glycaemic control, pregnancy outcomes and participant-reported outcomes compared to SMBG.
To determine association between CGM metrics and pregnancy outcomes, and to inform CGM targets.
To determine effect of CGM on identification who is at increased risk for glucose intolerance postpartum.
To determine raw CGM data across diverse pregnancy cohorts, on individual person level, to characterise dynamic glycaemic patterns throughout gestation, using machine-learning techniques, and to identify novel CGM-derived metrics and data-driven glycaemic phenotypes associated with adverse pregnancy outcomes.
If you wish to participate or require more information, please contact us via the contact form or email [enable javascript to view]
Correspondence to: [enable javascript to view] or [enable javascript to view], ORCID: 0000-0002-3325-0263
Department of Endocrinology, UZ Leuven, Herestraat 49, 3000 Leuven, Belgium
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This website is dedicated to the Elysa Consortium on CGM in Gestational Diabetes.
International Consortium about the Application of continuous glucose monitoring and automated insulin delivery technologies for pregnant women with type 1, type 2, or gestational diabetes DOI: 10.1016/S2213-8587(25)00335-3
Epidemiology and management of gestational diabetes DOI: 10.1016/S0140-6736(24)00825-0