Evidence map›Paper›PMID 36924213›Full record

SynthesisJournal of the International AIDS Society2023

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

Nasheeta Peer, Kim Anh Nguyen, Jillian Hill, Anne E Sumner, Justin Cirhuza Cikomola, Jean Bisimwa Nachega, Andre-Pascal Kengne

Open access · goldFull text readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of the International AIDS Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 3 pooled it
10.4field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 3 syntheses or guidelines pooled it, 30 citations in OpenAlex.

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  15. Prevalence of prediabetes and associated risk factors among peri-urban dwelling adults in Blantyre, Malawi.Malawi medical journal : the journal of Medical Association of Malawi · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 3 countries.

Nasheeta PeerNon-communicable Diseases Research Unit, South African Medical Research Council, Durban and Cape Town, South Africa.ORCID 0000-0003-2131-8344
Kim Anh NguyenNon-communicable Diseases Research Unit, South African Medical Research Council, Durban and Cape Town, South Africa.
Jillian HillNon-communicable Diseases Research Unit, South African Medical Research Council, Durban and Cape Town, South Africa.
Anne E SumnerSection on Ethnicity and Health, Diabetes, Endocrinology, and Obesity Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institute of Health, Bethesda, Maryland, USA.
Justin Cirhuza CikomolaFaculty of Medicine, Université Catholique de Bukavu, Bukavu, the Democratic Republic of the Congo.
Jean Bisimwa NachegaDivision of Infectious Diseases, Department of Medicine, Stellenbosch University Faculty of Medicine and Health Sciences, Cape Town, South Africa.
Andre-Pascal KengneNon-communicable Diseases Research Unit, South African Medical Research Council, Durban and Cape Town, South Africa.ORCID 0000-0002-5183-131X
South African Medical Research Council · ZANational Institutes of Health · USUniversité Catholique de Bukavu · CDWestern Cape Department of Health · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn people living with human immunodeficiency virus (PLHIV), traditional cardiovascular risk factors, exposure to HIV per se and antiretroviral therapy (ART) are assumed to contribute to cardiometabolic diseases. Nevertheless, controversy exists on the relationship of HIV and ART with diabetes. To clarify the relationship between HIV and type 2 diabetes, this review determined, in PLHIV in Africa, diabetes and prediabetes prevalence, and the extent to which their relationship was modified by socio-demographic characteristics, body mass index (BMI), diagnostic definitions used for diabetes and prediabetes, and HIV-related characteristics, including CD4 count, and use and duration of ART.

methodsFor 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.

resultsOf the 2614 records initially screened, 366 full-text articles were assessed for eligibility and 61 were selected. In the systematic review, all studies were cross-sectional by design and clinic-based, except for five population-based studies. Across studies included in the meta-analysis, the proportion of men was 16-84%. Mean/median age was 30-62 years. Among 86,412 and 7976 participants, diabetes and prediabetes prevalence rates were 5.1% (95% CI: 4.3-5.9) and 15.1% (9.7-21.5). Self-reported diabetes (3.5%) was lower than when combined with biochemical assessments (6.2%; 7.2%). DISCUSSION: While not statistically significant, diabetes and prediabetes were higher with greater BMI, in older participants, urban residents and more recent publications. Diabetes and prediabetes were not significantly different by HIV-related factors, including CD4 count and ART.

conclusionsAlthough HIV-related factors did not modify prevalence, the diabetes burden in African PLHIV was considerable with suboptimal detection, and likely influenced by traditional risk factors. Furthermore, high prediabetes prevalence foreshadows substantial increases in future diabetes in African PLHIV.

Indexed as

Diabetes Mellitus, Type 2HIV InfectionsPrediabetic StateAdultAfricaAgedHIVHumansMaleMiddle AgedPrevalenceAfricaARTCD4 countdiabetesHIVprediabetesprevalencerisk factors

Identifiers

PMID36924213
PMCPMC10018386
OpenAlexW4327599835

What Socratic holds

Textfull text, public
LicenceCC BY
measurements read75
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.