Evidence map›Paper›PMID 36928895›Full record

ArticlePloS one2023

Association between prior tuberculosis disease and dysglycemia within an HIV-endemic, rural South African population.

Alison C Castle, Susanne S Hoeppner, Itai M Magodoro, Urisha Singh, Yumna Moosa, Ingrid V Bassett, Emily B Wong, Mark J Siedner, Vukuzazi Study Team

Open access · goldFull text read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
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

9 authors at 4 institutions in 2 countries.

Alison C CastleAfrica Health Research Institute, KwaZulu-Natal, South Africa.ORCID 0000-0001-7752-6236
Susanne S HoeppnerHarvard Medical School, Boston, Massachusetts, United States of America.ORCID 0000-0003-2060-1666
Itai M MagodoroEmory Global Diabetes Research Center, Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America.
Urisha SinghAfrica Health Research Institute, KwaZulu-Natal, South Africa.ORCID 0000-0001-6905-7599
Yumna MoosaAfrica Health Research Institute, KwaZulu-Natal, South Africa.
Ingrid V BassettAfrica Health Research Institute, KwaZulu-Natal, South Africa.
Emily B WongAfrica Health Research Institute, KwaZulu-Natal, South Africa.
Mark J SiednerAfrica Health Research Institute, KwaZulu-Natal, South Africa.
Vukuzazi Study Team
Harvard University · USAfrica Health Research Institute · ZAEmory University · USUniversity of Alabama at Birmingham · US

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 in patient-oriented research on HIV prevention in the US and South AfricaK24AI141036 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI Ingrid Valerie Bassett · 2019 to 2026
$1.1M
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
NHLBI NIH HHS K24 HL166024NIAID NIH HHS K24 AI141036NIAID NIH HHS T32 AI007433Wellcome Trust 201433/Z/16/A
6 · The paper itself

Abstract

objectiveTuberculosis (TB) may predispose individuals to the development of diabetes. Such a relationship could have an outsized impact in high-prevalence TB settings. However, few studies have explored this relationship in populations heavily burdened by diabetes and TB.

methodsWe analyzed data from a community-based population cohort that enrolled adults in rural South Africa. Individuals were considered to have prior TB if they self-reported a history of TB treatment. We fitted sex-specific logistic regression models, adjusted for potential clinical and demographic confounders, to estimate relationships between dysglycemia (HBA1c ≥6.5%) and prior TB. Propensity score-matched cohorts accounted for the differential age distributions between comparator groups. We examined the interactions between sex, prior TB, and HIV status.

resultsIn the analytic cohort (n = 17,593), the prevalence of prior TB was 13.8% among men and 10.7% among women. Dysglycemia was found in 9.1% of the population, and HIV prevalence was 34.0%. We found no difference in dysglycemia prevalence by prior TB (men OR 0.96, 95% CI 0.60-1.56: women OR 1.05, 95% CI 0.79-1.39). However, there was a qualitative interaction by HIV serostatus, such that among men without HIV, those with a history of TB had a greater prevalence of dysglycemia than those without prior TB (10.1% vs. 4.6%, p = 0.0077). An inverse relationship was observed among men living with HIV (prior TB 3.3% vs. no TB 7.3%, p = 0.0073).

conclusionsTreated TB disease was not associated with dysglycemia in an HIV-endemic, rural South African population. However, we found a significant interaction between prior TB and HIV status among men, suggesting distinct pathophysiological mechanisms between the two infections that may impact glucose metabolism. Longitudinal studies are needed to better establish a causal effect and underlying mechanisms related to resolved TB, HIV, and diabetes.

Indexed as

Diabetes MellitusHIV InfectionsTuberculosisAdultFemaleHumansLongitudinal StudiesMalePrevalenceRural PopulationSouth Africa

Identifiers

PMID36928895
PMCPMC10019670
OpenAlexW4327566982

What Socratic holds

Textfull text, public
LicenceCC BY
measurements read45
identifiers read4
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.