Evidence map›Paper›PMID 27087233›Full record

ArticleThe British journal of nutrition2016

Effect of BMI and fat mass on HIV disease progression in HIV-infected, antiretroviral treatment-naïve adults in Botswana.

S S Martinez, A Campa, H Bussmann, S Moyo, J Makhema, F G Huffman, O D Williams, M Essex, R Marlink, M K Baum

Open access · bronzeAbstract read
In one paragraph

Article in The British journal of nutrition, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

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  9. rs1445776009 variants in the humanInternational journal of health sciences
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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

10 authors at 3 institutions in 2 countries.

S S Martinez1Robert Stempel College of Public Health and Social Work,Florida International University,Miami,FL 33186,USA.
A Campa1Robert Stempel College of Public Health and Social Work,Florida International University,Miami,FL 33186,USA.
H Bussmann2Botswana Harvard AIDS Initiative Partnership,Gaborone,Botswana.
S Moyo2Botswana Harvard AIDS Initiative Partnership,Gaborone,Botswana.
J Makhema2Botswana Harvard AIDS Initiative Partnership,Gaborone,Botswana.
F G Huffman1Robert Stempel College of Public Health and Social Work,Florida International University,Miami,FL 33186,USA.
O D Williams1Robert Stempel College of Public Health and Social Work,Florida International University,Miami,FL 33186,USA.
M Essex3Harvard School of Public Health,Boston,MA 02115,USA.
R Marlink3Harvard School of Public Health,Boston,MA 02115,USA.
M K Baum1Robert Stempel College of Public Health and Social Work,Florida International University,Miami,FL 33186,USA.
Florida International University · USBotswana Harvard AIDS Institute Partnership · BWHarvard University · US

Funding

Community-Engaged Research on COVID-19 Testing Among Underserved and/or Vulnerable PopulationsU01DA040381 · NIDA · FLORIDA INTERNATIONAL UNIVERSITY · PI BAUM, MARIANNA K · 2015 to 2022
$9.6M
HIV Disease, Drug Abuse, &Nutrient Therapy in BotswanaR01DA016551 · NIDA · FLORIDA INTERNATIONAL UNIVERSITY · PI BAUM, MARIANNA K · 2003 to 2007
$3.8M
Community-Engaged Research on COVID-19 Testing Among Underserved and/or Vulnerable Populations Phase IIU01MD017423 · NIMHD · FLORIDA INTERNATIONAL UNIVERSITY · PI BAUM, MARIANNA K · 2022 to 2023
$2.2M
NIDA NIH HHS R01 DA016551NIDA NIH HHS U01 DA040381NIMHD NIH HHS U01 MD017423
6 · The paper itself

Abstract

An obesity paradox has been proposed in many conditions including HIV. Studies conducted to investigate obesity and its effect on HIV disease progression have been inconclusive and are lacking for African settings. This study investigated the relationship between overweight/obesity (BMI≥25 kg/m2) and HIV disease progression in HIV+ asymptomatic adults not on antiretroviral treatment (ART) in Botswana over 18 months. A cohort study in asymptomatic, ART-naïve, HIV+ adults included 217 participants, 139 with BMI of 18·0-24·9 kg/m2 and seventy-eight participants with BMI≥25 kg/m2. The primary outcome was time to event (≥25 % decrease in cluster of differentiation 4 (CD4) cell count) during 18 months of follow-up; secondary outcomes were time to event of CD4 cell count<250 cells/µl and AIDS-defining conditions. Proportional survival hazard models were used to compare hazard ratios (HR) on time to events of HIV disease progression over 18 months. Higher baseline BMI was associated with significantly lower risk of an AIDS-defining condition during the follow-up (HR 0·218; 95 % CI 0·068, 0·701; P=0·011). Higher fat mass at baseline was also significantly associated with decreased risk of AIDS-defining conditions during the follow-up (HR 0·855; 95 % CI 0·741, 0·987; P=0·033) and the combined outcome of having CD4 cell count≤250/µl and AIDS-defining conditions, whichever occurred earlier (HR 0·918; 95 % CI 0·847, 0·994; P=0·036). All models were adjusted for covariates. Higher BMI and fat mass among the HIV-infected, ART-naïve participants were associated with slower disease progression. Mechanistic research is needed to evaluate the association between BMI, fat mass and HIV disease progression.

Indexed as

Body CompositionBody Mass IndexDisease ProgressionAcquired Immunodeficiency SyndromeAdipose TissueAdultAnti-HIV AgentsBotswanaCD4 Lymphocyte CountCohort StudiesFemaleHIV InfectionsHumansMaleObesityProportional Hazards ModelsAnti-HIV AgentsAntiretroviral treatment naïve adultsART antiretroviral treatmentBioelectrical impedance analysesBMIBody compositionCD4 cluster of differentiation 4CD8 cluster of differentiation 8Disease progressionHIV infectionHR hazard ratio

Identifiers

PMID27087233
PMCPMC5830121
OpenAlexW2337429799

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.