Evidence map›Paper›PMID 37507703›Full record

ArticleBMC endocrine disorders2023

Prevalence and characteristics of metabolic syndrome and its components among adults living with and without HIV in Nigeria: a single-center study.

Jibreel Jumare, Patrick Dakum, Nadia Sam-Agudu, Peter Memiah, Rebecca Nowak, Florence Bada, Uzoamaka Oguama, George Odonye, Ruxton Adebiyi, Cristiana Cairo and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMC endocrine disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
11.5field-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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 33 citations in OpenAlex.

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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

14 authors at 4 institutions in 2 countries.

Jibreel JumareInstitute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, 21201, USA. jibreel.jumare@ihv.umaryland.edu.
Patrick DakumInstitute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, 21201, USA.
Nadia Sam-AguduInstitute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, 21201, USA.
Peter MemiahInstitute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, 21201, USA.
Rebecca NowakInstitute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, 21201, USA.
Florence BadaInstitute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, 21201, USA.
Uzoamaka OguamaInternational Research Center of Excellence, Institute of Human Virology Nigeria, Federal Capital Territory, Abuja, Nigeria.
George OdonyeInternational Research Center of Excellence, Institute of Human Virology Nigeria, Federal Capital Territory, Abuja, Nigeria.
Ruxton AdebiyiInternational Research Center of Excellence, Institute of Human Virology Nigeria, Federal Capital Territory, Abuja, Nigeria.
Cristiana CairoInstitute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, 21201, USA.
Vivian KwagheUniversity of Abuja Teaching Hospital, Abuja, Nigeria.
Clement AdebamowoDepartment of Epidemiology and Public Health, and Greenebaum Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore, MD, 21201, USA.
Alash'le AbimikuInstitute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, 21201, USA.
Man CharuratInstitute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, 21201, USA.
University of Maryland, Baltimore · USInstitute of Human Virology · NGU-M Rogel Cancer CenterUniversity of Abuja Teaching Hospital · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPersons living with HIV (PLHIV) now live longer due to effective combination antiretroviral therapy. However, emerging evidence indicates that they may be at increased risk for some cardiometabolic disorders. We compared the prevalence of metabolic syndrome (MetS) and its component disorders between persons living with and without HIV in Nigeria.

methodsThis was a cross-sectional analysis of baseline data from a prospective cohort study of non-communicable diseases among PLHIV along with age- and sex-matched persons without HIV (PWoH) at the University of Abuja Teaching Hospital Nigeria. We collected sociodemographic and clinical data, including anthropometric measures and results of relevant laboratory tests. MetS was defined using a modification of the third report of the National Cholesterol Education Program Adult Treatment Panel (NCEP ATP III) criteria.

resultsOf the 440 PLHIV and 232 PWoH, women constituted 50.5% and 51.3% respectively. The median age of the PLHIV was 45 years while that of the PWoH was 40 years. The prevalence of MetS was 30.7% (95% CI: 26.4%, 35.2%) and 22.8% (95% CI: 17.6%, 28.8%) among the PLHIV and PWoH respectively (P = 0.026). Independent associations were found for older age (P < 0.001), female sex (P < 0.001), family history of diabetes (P < 0.001), family history of hypertension (P = 0.013) and alcohol use (P = 0.015). The prevalence of component disorders for PLHIV versus PWoH were as follows: high blood pressure (22.3% vs 20.3%), prediabetes (33.8% vs 21.1%), diabetes (20.5% vs 8.2%), high triglycerides (24.5% vs 17.2%), low HDL-Cholesterol (51.1% vs 41.4%), and abdominal obesity (38.4% vs 37.1%). Adjusting for age and sex, prediabetes, diabetes, and low HDL-Cholesterol were significantly associated with HIV status. Duration on antiretroviral therapy, protease inhibitor-based regimen, CD4 count, and viral load were associated with some of the disorders mostly in unadjusted analyses.

conclusionWe found a high burden of MetS and its component disorders, with significantly higher prevalence of dysglycemia and dyslipidemia among PLHIV as compared to PWoH. Integration of strategies for the prevention and management of MetS disorders is needed in HIV treatment settings.

Indexed as

Diabetes MellitusHIV InfectionsHypertensionMetabolic SyndromePrediabetic StateAdultCholesterolCross-Sectional StudiesFemaleHIVHumansMiddle AgedNigeriaPrevalenceProspective StudiesRisk FactorsCholesterolMetabolic syndrome disorders HIV Nigeria prevalence characteristics

Identifiers

PMID37507703
PMCPMC10375691
OpenAlexW4385343772

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.