Evidence map›Paper›PMID 39492946›Full record

ArticleJournal of multimorbidity and comorbidity

Associations of HIV and prevalent type 2 diabetes mellitus in the context of obesity in South Africa.

Itai M Magodoro, Alison C Castle, Ndumiso Tshuma, Julia H Goedecke, Ronel Sewpaul, Justen Manasa, Jennifer Manne-Goehler, Ntobeko Ab Ntusi, Moffat J Nyirenda, Mark J Siedner

Abstract read
In one paragraph

Article in Journal of multimorbidity and comorbidity. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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.

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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Observational
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Itai M MagodoroDepartment of Medicine, University of Cape Town, Cape Town, Republic of South Africa.ORCID https://orcid.org/0000-0002-3879-6126
Alison C CastleAfrica Health Research Institute, Mtubatuba, Republic of South Africa.
Ndumiso TshumaThe Best Health Solutions, Johannesburg, Republic of South Africa.
Julia H GoedeckeBiomedical Research and Innovation Platform, South African Medical Research Council, Cape Town, Republic of South Africa.
Ronel SewpaulPublic Health, Societies and Belonging (PHSB) Division, Human Sciences Research Council, Cape Town, Republic of South Africa.
Justen ManasaBiomedical Research and Training Institute, Harare, Zimbabwe.
Jennifer Manne-GoehlerMedical Practice Evaluation Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Ntobeko Ab NtusiDepartment of Medicine, University of Cape Town, Cape Town, Republic of South Africa.
Moffat J NyirendaLondon School of Hygiene and Tropical Medicine, London, UK.
Mark J SiednerAfrica Health Research Institute, Mtubatuba, Republic of South Africa.

Funding

Partnership for Global Health Research Training Program (Renewal)-Supplement for OBSSR, NCI, NCI-AIDS and NIDCDD43TW010543 · FIC · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Wafaie W Fawzi, DAVIDSON HOWES HAMER · 2017 to 2026
$12.1M
PROGRAM FOR AIDS CLINICAL RESEARCH TRAINING (PACRT)T32AI007433 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI MARK J SIEDNER · 1992 to 2026
$11.4M
Mentoring patient-oriented research to improve cardiovascular health among people with HIV in sub-Saharan AfricaK24HL166024 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI MARK J SIEDNER · 2022 to 2026
$616k
FIC NIH HHS D43 TW010543NHLBI NIH HHS K24 HL166024NIAID NIH HHS T32 AI007433
6 · The paper itself

Abstract

Background: It is unclear how rising obesity among people with HIV (PWH) impacts their risk of type 2 diabetes mellitus (diabetes). We examined associations between HIV, prevalent diabetes and adiposity among South African PWH and their peers without HIV (PWOH). Methods: HIV status was ascertained by antibody testing. Diabetes was defined as current use of oral hypoglycemics, insulin, and/or HbA1c ≥6.5%. Adiposity was measured by body mass index (BMI), waist circumference and waist-to-height ratio. Their associations were examined using sex-stratified multivariable fractional polynomial generalized linear models, reporting adjusted prevalence and prevalence ratios (adjPR). Results: The mean age among 1,254 PWH and 4,381 PWOH was 41 years (95%CI 28, 56). The prevalence of diabetes among males was similar between PWH [11.3% (7.1, 15.5)] and PWOH [9.8% (8.5, 11.1); p=0.740]. By contrast, diabetes prevalence was higher among female PWOH [15.7% (14.4, 17.0)] than female PWH [10.5 (8.3, 12.8)%; adjPR: 0.67 (0.51, 0.82); p<0.001]. This difference was accentuated with obesity but reversed with leanness. At BMI ≥25 kg/m Conclusion: We found sex-specific differences in the relationship between adiposity and diabetes prevalence by HIV serostatus in South Africa. Notably, females living with obesity and HIV had lower prevalence of diabetes than females living with obesity and without HIV, which may have particular implications for diabetes prevention programs in the region.

Indexed as

diabetesHIV/ARTobesitysex/genderSouth Africa

Identifiers

PMID39492946
PMCPMC11528680

What Socratic holds

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LicenceCC BY
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Registered trials

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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.