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Modifiable and emerging risk factors for type 2 diabetes in Africa: a systematic review and meta-analysis protocol

Overview of attention for article published in Systematic Reviews, September 2018
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Title
Modifiable and emerging risk factors for type 2 diabetes in Africa: a systematic review and meta-analysis protocol
Published in
Systematic Reviews, September 2018
DOI 10.1186/s13643-018-0801-y
Pubmed ID
Authors

Ayuba Issaka, Yin Paradies, Christopher Stevenson

Abstract

Type 2 diabetes mellitus (T2DM) remains a public health problem in low-income countries, including African countries. Risk factors of this disease in Africa are still unclear. This study will examine the modifiable and emerging risk factors associated with T2DM in Africa. The study will include a systematic review and meta-analysis of published and unpublished empirical studies, reporting quantitative data only. We will conduct a search on scientific databases (e.g. Global Health), general online search engines (e.g. Google Scholar) and key websites for grey literature using a combination of key countries/geographic terms, risk factors (e.g. overweight/obesity) and T2DM (including a manual search of the included reference lists). We will use the Comprehensive Meta-Analysis Software (CMA) version 2.0 for data management and analysis. This protocol follows the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P). The systematic review and meta-analysis will provide a robust and reliable evidence base for policy makers and future research. This may help with identifying and implementing more cost-effective diabetes prevention strategies and improved resource allocation. This protocol has been registered with the PROSPERO international prospective register of systematic reviews. The reference number is CRD42016043027 .

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 244 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 244 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 28 11%
Student > Bachelor 28 11%
Researcher 19 8%
Student > Postgraduate 16 7%
Student > Doctoral Student 13 5%
Other 42 17%
Unknown 98 40%
Readers by discipline Count As %
Medicine and Dentistry 45 18%
Nursing and Health Professions 27 11%
Biochemistry, Genetics and Molecular Biology 12 5%
Pharmacology, Toxicology and Pharmaceutical Science 9 4%
Unspecified 7 3%
Other 38 16%
Unknown 106 43%