Evidence map›Paper›PMID 31577571›Full record

ArticleAIDS (London, England)2019

Growth curve modelling to determine distinct BMI trajectory groups in HIV-positive adults on antiretroviral therapy in South Africa.

Alana T Brennan, Kaitlyn M Berry, Sydney Rosen, Andrew Stokes, Nigel J Crowther, Jaya George, Frederick Raal, Naseem Cassim, Ian Sanne, Lawrence Long and 1 more

Abstract read
In one paragraph

Article in AIDS (London, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Article
  7. COVID-19 and Vulnerable Populations in Sub-Saharan Africa.Advances in experimental medicine and biology · 2021
    Review
  8. 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

11 authors.

Alana T BrennanDepartment of Global Health, Boston University School of Public Health, Boston, Massachusetts, USA.
Kaitlyn M BerryDepartment of Global Health, Boston University School of Public Health, Boston, Massachusetts, USA.
Sydney RosenDepartment of Global Health, Boston University School of Public Health, Boston, Massachusetts, USA.
Andrew StokesDepartment of Global Health, Boston University School of Public Health, Boston, Massachusetts, USA.
Nigel J CrowtherDepartment of Chemical Pathology, National Health Laboratory Service and University of the Witwatersrand, Parktown.
Jaya GeorgeDepartment of Chemical Pathology, National Health Laboratory Service and University of the Witwatersrand, Parktown.
Frederick RaalDepartment of Medicine, Faculty of Health Sciences.
Naseem CassimDepartment of Molecular Medicine and Haematology, National Health Laboratory Service.
Ian SanneDepartment of Global Health, Boston University School of Public Health, Boston, Massachusetts, USA.
Lawrence LongDepartment of Global Health, Boston University School of Public Health, Boston, Massachusetts, USA.
Matthew P FoxDepartment of Global Health, Boston University School of Public Health, Boston, Massachusetts, USA.

Funding

BU Clinical HIV/AIDS Research Training Program (BU-CHART)T32AI052074 · NIAID · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Benjamin P. Linas · 2003 to 2026
$6.7M
NIAID NIH HHS T32 AI052074
6 · The paper itself

Abstract

objectiveObesity is a major long-term concern in HIV-positive patients due to the pathogenic link between obesity and noncommunicable chronic diseases (NCDs). We aim to characterize changes in BMI over time on antiretroviral therapy (ART) and investigate the association between weight gain and survival in South Africa. DESIGN AND

methodsA prospective cohort study among HIV-positive adults on first-line ART between April 2004 and 2015 in Johannesburg, South Africa. We used latent-class growth modelling (adjusted for age, sex and CD4 cell count) to identify groups of individuals with similar patterns of change in BMI over time.

resultsEleven thousand, two hundred and sixty-three patients were included. The best fit model involved two linear and two quadratic trajectories. Thirty-five percent of patients were categorized into group one (mean BMI at ART initiation, 20.4 kg/m; mean BMI after 8 years of follow-up, 20.9 kg/m), 38% into group two (24.5-26.2 kg/m), 21% into group three (29.5-32.6 kg/m) and 6% into group four (36.5-40.0 kg/m). Over the 8 years of follow-up, 6% of our cohort went down in BMI standard category, while 45% went up. The largest increase occurred in the first 12 months on ART. In years 2 through 8, we saw a more gradual increase in BMI.

conclusionThe largest gain in BMI in HIV patients occurred in the first year on ART. During follow-up, over 50% of our population changed BMI categories putting them at an increased risk for NCDs. Consistent counselling on nutritional and lifestyle changes could help improve ART patients' long-term health outcomes.

Indexed as

Body Mass IndexAdolescentAdultAgedAnti-HIV AgentsAntiretroviral Therapy, Highly ActiveCD4 Lymphocyte CountFemaleHIV InfectionsHumansLatent Class AnalysisMaleMiddle AgedObesityProspective StudiesRisk FactorsAnti-HIV Agents

Identifiers

PMID31577571
PMCPMC6939155

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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 OpenQuestion graph.