Metabolic syndrome among type 2 diabetic patients in Sub-Saharan African countries: A systematic review and meta-analysis.
|Authors||Shiferaw, Wondimeneh Shibabaw, Akalu, Tadesse Yirga, Gedefaw, Mihretie, Anthony, Denis, Kassie, Ayelign Mengesha, Misganaw Kebede, Worku, Mulugeta, Henok, Dessie, Getenet and Aynalem, Yared Asmare|
PubMed, Web of Science, African Journals Online, Google Scholar, Scopus, and Wiley Online Library databases from inception to April 27, 2020 were searched to identify relevant studies. The I2 statistic was used to check heterogeneity across the included studies. DerSimonian and Laird random-effects model was applied to estimate pooled effect size, and 95% confidence interval across studies. A funnel plot and Egger's regression test were used to determine the presence of publication bias. Sensitivity analysis was deployed to determine the effect of a single study on the overall estimation. All statistical analyses were done using STATA™ Version 14 software.
|Keywords||Metabolic syndrome; Prevalence; Sub-Saharan Africa; Type2 diabetes mellitus|
|Journal||Diabetes & metabolic syndrome: Clinical Research & Reviews|
|Diabetes & metabolic syndrome|
|Journal citation||14 (5), pp. 1403-1411|
|Digital Object Identifier (DOI)||https://doi.org/10.1016/j.dsx.2020.07.013|
|Web address (URL)||http://hdl.handle.net/10545/625737|
|Publication dates||23 Jul 2020|
|Publication process dates|
|Deposited||29 Apr 2021, 14:45|
|Accepted||10 Jul 2020|
Copyright © 2020 Diabetes India. Published by Elsevier Ltd. All rights reserved.
Attribution-NonCommercial-NoDerivatives 4.0 International
|Place of publication||Netherlands|
|Contributors||Debre Berhan University, Ethiopia, Bahir Dar University, Ethiopia, University of Leeds and Woldia University, Ethiopia|
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