Protocol for systematic review and meta-analysis of sex hormones and diabetes risk in ageing men and women of African ancestry

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Kufe, Nyuyki Clement (author)

Protocol for systematic review and meta-analysis of sex hormones and diabetes risk in ageing men and women of African ancestry

Article/chapterEnglish2019

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2019-01-03
BMJ Publishing Group Ltd,2019
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LIBRIS-ID:oai:DiVA.org:umu-161597
https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-161597URI
https://doi.org/10.1136/bmjopen-2018-024446DOI

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Language:English
Summary in:English

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Subject category:for swepub-publicationtype

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Aim: To present the protocol of a systematic review and meta-analysis of the available evidence examining the association between sex hormones and type 2 diabetes risk in ageing men and women of African descent.Methods: We shall conduct a comprehensive search of published studies that examined the association between sex hormones and type 2 diabetes risk in men and women aged ≥40 years from 01/01/1980 to 31/03/2018 with no language restriction. Databases to be searched include: PubMed, Scopus, Cochrane Library, Cumulative Index to Nursing and Allied Health, ISI Web of Science, Clinical Trial registries, Google Scholar and institutional websites such as the WHO, American Diabetes Association, International Diabetes Federation, World Diabetes Foundation, European Association for the Study of Diabetes, African Journal Online and ProQuest databases. This protocol is developed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols guidelines. Independent screening for eligible studies using defined criteria and data extraction, will be completed in duplicate. Discrepancies will be resolved by consensus or consultation with a third researcher. Risk of bias of included studies will be assessed by the appropriate Cochrane risk of bias tool. The overall association estimates will be pooled using appropriate meta-analytic techniques. Heterogeneity will be assessed using Cochrane Q statistic and the inconsistency index (I2). The random effects model will be used to calculate a pooled estimate.Ethics and dissemination: No ethics clearance is required as no primary data will be collected. The systematic review and meta-analysis are part of a PhD project at WITS University (Johannesburg, South Africa) and results will be presented at conferences and published in a peer-review journal. The results will guide future population specific interventions.

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Masemola, Maphoko (author)
Chikowore, Tinashe (author)
Kengne, Andre Pascal (author)
Olsson, TommyUmeå universitet,Avdelningen för medicin(Swepub:umu)tool0003 (author)
Goedecke, Julia H. (author)
Micklesfield, Lisa K. (author)
Umeå universitetAvdelningen för medicin (creator_code:org_t)

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