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    Adverse pregnancy outcomes in gestational diabetes mellitus: a systematic review and meta-analysis protocol

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    Date
    2024
    Author
    Chukwuemeka, Scholarstica
    Chivese, Tawanda
    Gopinath, Aswathy
    Obikeze, Kenechukwu
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    Abstract
    Introduction Gestational diabetes mellitus (GDM) is associated with adverse pregnancy outcomes, including adverse outcomes for both the mother and the fetus. Different diagnostic criteria are used for GDM, and it is not clear how these affect the reported prevalence of adverse pregnancy outcomes. This protocol is for a systematic review to describe and compare the prevalence of adverse pregnancy outcomes in GDM using the different diagnostic criteria applied in various countries/regions of the world. Methods and analysis A systematic review and meta-analysis will be carried out. A comprehensive search of observational studies that report the outcomes of interest to this review from 2010 to 2021 will be conducted. We will search the major electronic databases such as PubMed, Scopus, CINHAL and Google Scholar, and screen references of included studies for additional studies. Meta-analyses will be performed, if there is low heterogeneity, and pooled estimates per outcome reported. We will use the bias-adjusted inverse variance heterogeneity model and random effects models, depending on the heterogeneity observed, to pool prevalence estimates and perform subgroup analyses by region, by age group, by diagnostic criteria and by GDM screening method if sufficient data are available. We will also compare the prevalence of adverse outcomes by diagnostic method and report prevalence ratios. We will report 95% confidence estimates for all estimates. Ethics and dissemination Ethical approval is not required as the review uses published data. Findings will be published in peer-reviewed journals and presented at conferences. PROSPERO registration number CRD42020155061.
    DOI/handle
    http://dx.doi.org/10.1136/bmjopen-2021-058625
    http://hdl.handle.net/10576/60650
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    • Medicine Research [‎1759‎ items ]

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