Evidence map›Paper›PMID 20505496›Full record

ArticleAIDS (London, England)2010

Body mass index and risk of tuberculosis and death.

Colleen F Hanrahan, Jonathan E Golub, Lerato Mohapi, Nkeko Tshabangu, Tebogo Modisenyane, Richard E Chaisson, Glenda E Gray, James A McIntyre, Neil A Martinson

Open access · greenAbstract read
In one paragraph

Article in AIDS (London, England), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
87citing papers in PubMed, 5 pooled it
7.5field-weighted citation impact, top 2% 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

87 citing papers in PubMed, 5 syntheses or guidelines pooled it, 170 citations in OpenAlex.

  1. Undernutrition as a risk factor for tuberculosis disease.The Cochrane database of systematic reviews · 2024
    Pooled it
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  9. Body Mass Index and Incident Tuberculosis in Close Tuberculosis Contacts.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
    Observational
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  19. Models of body weight and fatness regulation.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Review
  20. Obesity: an evolutionary context.Life metabolism · 2022
    Review

27 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

9 authors at 3 institutions in 2 countries.

Colleen F HanrahanJohns Hopkins Bloomberg School of Public Heath, Baltimore, Maryland, USA.
Jonathan E Golub
Lerato Mohapi
Nkeko Tshabangu
Tebogo Modisenyane
Richard E Chaisson
Glenda E Gray
James A McIntyre
Neil A Martinson
University of the Witwatersrand · ZAJohns Hopkins University · USPerinatal HIV Research Unit · ZA

Funding

Novel TB Prevention Regimens for HIV-Infected AdultsR01AI048526 · NIAID · JOHNS HOPKINS UNIVERSITY · PI CHAISSON, RICHARD E. · 2001 to 2008
$5.5M
Longitudinal Study of HIV-Associated Lung Infections in SowetoR01HL090312 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI CHAISSON, RICHARD E. · 2007 to 2012
$3.3M
South Africa Tuberculosis/AIDS TrainingU2RTW007373 · FIC · UNIV OF NORTH CAROLINA CHAPEL HILL · PI VAN DER HORST, CHARLES MICHAEL · 2007 to 2012
$1.4M
CLINICAL RESEARCH IN TUBERCULOSISK24AI001637 · NIAID · JOHNS HOPKINS UNIVERSITY · PI CHAISSON, RICHARD E. · 1999 to 2009
$1.3M
Epidemiologic Strategies for Tuberculosis ControlK01AI066994 · NIAID · JOHNS HOPKINS UNIVERSITY · PI GOLUB, JONATHAN E. · 2005 to 2009
$564k
FIC NIH HHS U2R TW007373NHLBI NIH HHS HL090312NHLBI NIH HHS R01 HL090312NIAID NIH HHS AI001637NIAID NIH HHS AI048526NIAID NIH HHS AI066994NIAID NIH HHS K01 AI066994NIAID NIH HHS K24 AI001637NIAID NIH HHS R01 AI048526PHS HHS 2RTW007370/3
6 · The paper itself

Abstract

backgroundHigh BMI has been shown to be protective against tuberculosis (TB) among HIV-uninfected individuals, as well as against disease progression and mortality among those with HIV. We examined the effect of BMI on all-cause mortality and TB incidence among a cohort of HIV-infected adults in Soweto, South Africa.

methodsA clinical cohort of 3456 HIV-infected adults from South Africa was prospectively followed from 2003 to 2008 with regular monitoring. The primary exposure was BMI and the outcomes of interest were all-cause mortality and a newly diagnosed episode of TB. Cox proportional hazard models assessed associations with risk of mortality or incident TB.

resultsIncidence rates of mortality were 10.4/100 person-years for baseline BMI of 18.5 or less, 3.6/100 person-years for baseline BMI 18.6-25, 1.7/100 person-years for baseline BMI 25.1-30, and 1.6/100 person-years for baseline BMI more than 30. Compared to those with normal BMI, overweight and obese participants had a significantly reduced risk of mortality [adjusted hazard ratio 0.59 (95% confidence interval, CI 0.40-0.87) and 0.48 (95% CI 0.29-0.80), respectively]. Incidence rates of TB by baseline BMI were 7.3/100 person-years for underweight, 6.0/100 person-years for normal, 3.2/100 person-years for overweight, and 1.9/100 person-years for obese. Compared to those with normal BMI, those with overweight and obese BMI were at a significantly reduced risk of developing TB [adjusted hazard ratio 0.56 (95% CI 0.38-0.83) and 0.33 (95% CI 0.19-0.55), respectively].

conclusionHIV-infected individuals with obese and overweight BMI have a significantly reduced risk of both mortality and TB, after adjusting for HAART use and CD4 cell count.

Indexed as

Body Mass IndexHIV-1AdultAIDS-Related Opportunistic InfectionsAntiretroviral Therapy, Highly ActiveCause of DeathCD4 Lymphocyte CountFemaleHIV InfectionsHumansIncidenceMaleObesityProspective StudiesRisk FactorsSouth Africa

Identifiers

PMID20505496
PMCPMC3063388
OpenAlexW2095171200

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.