Evidence map›Paper›PMID 30606249›Full record

SynthesisSystematic reviews2019

Prevalence of metabolic syndrome among HIV-positive and HIV-negative populations in sub-Saharan Africa-a systematic review and meta-analysis.

Olamide O Todowede, Solange Z Mianda, Benn Sartorius

Registry-linked trialAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Systematic reviews, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06058845 (Efficacy of Tamarindus Indica Fruit Juice in Optimizing Cardiometabolic Health of Patients Living With HIV and Elevated Triglycerides), which is not on this map. Cited by 66 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 5 pooled it
–field-weighted citation impact
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.

NCT06058845 nacompletednot on this mapstarted 2023, after this paper: background citation

Efficacy of Tamarindus Indica Fruit Juice in Optimizing Cardiometabolic Health of Patients Living With HIV and Elevated Triglycerides

TypeinterventionalSponsorKU LeuvenRan2023 to 2024Enrolled50ConditionsCardiometabolic Syndrome, Dyslipidemias, HypertensionArmsTamarindus indica fruit juice_A, Tamarindus indica fruit juice_B
3 · Its place in the literature

Who cites it

66 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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  8. Focusing on vulnerable populations in HIV.Chinese medical journal · 2026
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6 more citing papers are in PubMed but not listed here.

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

3 authors.

Olamide O TodowedeDepartment of Public Health Medicine, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, 4001, South Africa. lamide.ayodele@gmail.com.ORCID 0000-0002-5785-1426
Solange Z MiandaDepartment of Public Health Medicine, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, 4001, South Africa.
Benn SartoriusDepartment of Public Health Medicine, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, 4001, South Africa.

Funding

Wellcome TrustWellcome Trust 107752/Z/15/Z
6 · The paper itself

Abstract

backgroundMetabolic syndrome (MetS) is a constellation of conditions that increase the risk of cardiovascular diseases. It is an emerging concern in sub-Saharan African (SSA) countries, particularly because of an increasingly aging population and lifestyle changes. There is an increased risk of MetS and its components among people living with Human immune deficiency syndrome (HIV) individuals; however, the prevalence of metabolic syndrome in the SSA population and its differential contribution by HIV status is not yet established. This systematic review and meta-analysis were conducted to estimate the pooled prevalence of metabolic syndrome in people living with HIV and uninfected populations, its variation by sub-components.

methodsWe performed a comprehensive search on major databases-MEDLINE (PubMed), EBSCOhost, and Cochrane Database of Systematic Reviews and Web of sciences for original epidemiological research articles that compared proportions of the MetS and its subcomponents between people living with HIV and uninfected patients and published between January 1990-December 2017. The inclusion criteria were adults aged ≥ 18 years, with confirmed HIV status. We assessed the risk of bias using a prevalence studies tool, and random effect meta-analyses were used to compute the pooled overall prevalence.

resultsA total of four cross-sectional studies comprising 496 HIV uninfected and 731 infected participants were included in the meta-analysis. The overall prevalence of MetS among people living with HIV was 21.5% (95% CI 15.09-26.86) versus uninfected 12.0% (95% CI 5.00-21.00%), with substantial heterogeneity. The reported relative risk estimate for MetS among the two groups was twofold (RR 1.83, 95% CI 0.98-3.41), with an estimated predictive interval of 0.15 to 22.43 and P = 0.055 higher for the infected population. Hypertension was the most prevalent MetS sub-components, with diverse proportions of people living with HIV (5.2-50.0%) and uninfected (10.0-59.0%) populations.

conclusionsThe high range of MetS prevalence in the HIV-infected population compared to the uninfected population highlights the possible presence of HIV related drivers of MetS. Also, the reported high rate of MetS, irrespective of HIV status, indicates a major metabolic disorder epidemic that requires urgent prevention and management programs in SSA. Similarly, in the era of universal test and treat strategy among people living with HIV cohorts, routine check-up of MetS sub-components is required in HIV management as biomarkers. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42016045727.

Indexed as

Africa South of the SaharaAntiretroviral Therapy, Highly ActiveCase-Control StudiesComorbidityDiabetes MellitusDyslipidemiasHIV InfectionsHumansHypertensionMetabolic SyndromeObesity, AbdominalPrevalenceHIV-negativeHIV-positiveMetabolic syndromeSub-Saharan Africa

Identifiers

PMID30606249
PMCPMC6317235

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Registered trials

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 OpenQuestion graph.