Prevalence and influences of diabetes and prediabetes among adults living with HIV in Africa: a systematic review and meta-analysis.

Authors:
Peer N; Nguyen KA; Hill J; Sumner AE; Cikomola JC and 2 more

Journal:
J Int AIDS Soc

Publication Year: 2023

DOI:
10.1002/jia2.26059

PMCID:
PMC10018386

PMID:
36924213

Journal Information

Full Title: J Int AIDS Soc

Abbreviation: J Int AIDS Soc

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Acquired Immunodeficiency Syndrome

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
4/6
66.7% Transparent
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Evidence found in paper:

"COMPETING INTERESTS None to declare for all co‐authors."

Evidence found in paper:

"FUNDING NP, KAN, JH and APK are supported by the South African Medical Research Council. AES is supported by the intramural programs of the National Institute of Diabetes and Digestive and Kidney Diseases and the National Institute of Minority Health and Health Disparities of the National Institutes of Health (NIH, Bethesda, Maryland, USA)."

Evidence found in paper:

"This systematic review, focusing on the prevalence of prediabetes and diabetes in PLHIV in Africa (including North Africa), was registered in the PROSPERO registry for systematic reviews (registration number CRD42021231547) []. The systematic review and meta‐analyses were conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta‐Analysis (PRISMA guidelines) []. Methods: For this systematic review and meta‐analysis (PROSPERO registration CRD42021231547), a comprehensive search of major databases (PubMed‐MEDLINE, Scopus, Web of Science, Google Scholar and WHO Global Health Library) was conducted. Original research articles published between 2000 and 2021 in English and French were included, irrespective of study design, data collection techniques and diagnostic definitions used. Observational studies comprising at least 30 PLHIV and reporting on diabetes and/or prediabetes prevalence in Africa were included. Study‐specific estimates were pooled using random effects models to generate the overall prevalence for each diagnostic definition. Data analyses used R statistical software and “meta” package."

Open Access
Paper is freely available to read
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Last Updated: Aug 05, 2025