Evidence map›Paper›PMID 37450436›Full record

ArticlePLOS global public health2023

Population-level viremia predicts HIV incidence at the community level across the Universal Testing and Treatment Trials in eastern and southern Africa.

Joseph Larmarange, Pamela Bachanas, Timothy Skalland, Laura B Balzer, Collins Iwuji, Sian Floyd, Lisa A Mills, Deenan Pillay, Diane Havlir, Moses R Kamya and 6 more

Open access · goldAbstract read
In one paragraph

Article in PLOS global public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

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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

16 authors at 13 institutions in 6 countries.

Joseph LarmarangeCentre Population et Développement, Université Paris Cité, IRD, Inserm, Paris, France.ORCID https://orcid.org/0000-0001-7097-700X
Pamela BachanasDivision of Global HIV/AIDS and TB, Centers for Disease Control and Prevention, Atlanta, GA, United States of America.ORCID https://orcid.org/0000-0001-9408-9904
Timothy SkallandFred Hutchinson Cancer Center, Seattle, WA, United States of America.
Laura B BalzerDivision of Biostatistics, School of Public Health, University of California, Berkeley, California, United States of America.
Collins IwujiDepartment of Global Health and Infection, Brighton and Sussex Medical School, University of Sussex, Falmer, United Kingdom.ORCID https://orcid.org/0000-0003-2045-1717
Sian FloydDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID https://orcid.org/0000-0002-8615-7601
Lisa A MillsDivision of Global HIV and TB, Centers for Disease Control and Prevention, Gaborone, Botswana.ORCID https://orcid.org/0000-0001-5674-9166
Deenan PillayDivision of Infection & Immunity, University College London, London, United Kingdom.
Diane HavlirDepartment of Medicine, University of California San Francisco, San Francisco, CA, United States of America.
Moses R KamyaDepartment of Medicine, Makerere University Kampala, Uganda and the Infectious Diseases Research Collaboration, Kampala, Uganda.ORCID https://orcid.org/0000-0001-9106-4234
Helen AylesClinical Research Department London School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID https://orcid.org/0000-0003-4108-2842
Kathleen WirthHarvard T.H. Chan School of Public Health, Boston, MA, United States of America.
François DabisUniversité Bordeaux, ISPED, Centre INSERM U1219-Bordeaux Population Health, Bordeaux, France.
Richard HayesDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID https://orcid.org/0000-0002-1729-9892
Maya PetersenDivision of Biostatistics, School of Public Health, University of California, Berkeley, California, United States of America.
UT³C consortium
University of London · GBBerkeley Public Health Division · USBrighton and Sussex Medical School · GBCenters for Disease Control and Prevention · USFred Hutch Cancer Center · USHarvard University · USInfectious Diseases Research Collaboration · UGInserm · FRUniversité de Bordeaux · FRUniversity College London · GBUniversity of Botswana · BWUniversity of California, Berkeley · USUniversity of California, San Francisco · US

Funding

Leadership and Operations Center (LOC), AIDS Clinical Trials Group (ACTG); LOC 1/UM1AI068636 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Joseph J Eron, RAJESH T GANDHI · 2011 to 2026
$1073.1M
LOC: HIV Prevention Trials NetworkUM1AI068619 · NIAID · FAMILY HEALTH INTERNATIONAL · PI Sinead Delany-Moretlwe, RAPHAEL J LANDOVITZ · 2011 to 2026
$779.5M
SDMC: HPTN 084 Pregnancy SupplementUM1AI068617 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Elizabeth Renata Brown, Deborah J Donnell · 2011 to 2026
$204.9M
LC: HIV Prevention Trials Network - Laboratory Support for the SARS-CoV-2 Seroprevalence Study (CoVPN 5002)UM1AI068613 · NIAID · JOHNS HOPKINS UNIVERSITY · PI SUSAN H ESHLEMAN, Mark A Marzinke · 2011 to 2026
$100.2M
Reducing Failure-to-Initiate ART: Streamlined ART Start Strategy (START)U01AI099959 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HAVLIR, DIANE V · 2012 to 2016
$39.7M
Targeted Learning using adaptive designs for HIV Epidemic control in East AfricaR01AI074345 · NIAID · UNIVERSITY OF CALIFORNIA BERKELEY · PI PETERSEN, MAYA LIV, VANDERLAAN, MARK J · 2007 to 2023
$6.6M
CGH CDC HHS U01 GH000447CGH CDC HHS U2G GH001911NIAID NIH HHS R01 AI074345NIAID NIH HHS U01 AI099959NIAID NIH HHS UM1 AI068613NIAID NIH HHS UM1 AI068617NIAID NIH HHS UM1 AI068619NIAID NIH HHS UM1 AI068636Wellcome Trust
6 · The paper itself

Abstract

Universal HIV testing and treatment (UTT) strategies aim to optimize population-level benefits of antiretroviral treatment. Between 2012 and 2018, four large community randomized trials were conducted in eastern and southern Africa. While their results were broadly consistent showing decreased population-level viremia reduces HIV incidence, it remains unclear how much HIV incidence can be reduced by increasing suppression among people living with HIV (PLHIV). We conducted a pooled analysis across the four UTT trials. Leveraging data from 105 communities in five countries, we evaluated the linear relationship between i) population-level viremia (prevalence of non-suppression-defined as plasma HIV RNA >500 or >400 copies/mL-among all adults, irrespective of HIV status) and HIV incidence; and ii) prevalence of non-suppression among PLHIV and HIV incidence, using parametric g-computation. HIV prevalence, measured in 257 929 persons, varied from 2 to 41% across the communities; prevalence of non-suppression among PLHIV, measured in 31 377 persons, from 3 to 70%; population-level viremia, derived from HIV prevalence and non-suppression, from < 1% to 25%; and HIV incidence, measured over 345 844 person-years (PY), from 0.03/100PY to 3.46/100PY. Decreases in population-level viremia were strongly associated with decreased HIV incidence in all trials (between 0.45/100PY and 1.88/100PY decline in HIV incidence per 10 percentage points decline in viremia). Decreases in non-suppression among PLHIV were also associated with decreased HIV incidence in all trials (between 0.06/100PY and 0.17/100PY decline in HIV incidence per 10 percentage points decline in non-suppression). Our results support both the utility of population-level viremia as a predictor of incidence, and thus a tool for targeting prevention interventions, and the ability of UTT approaches to reduce HIV incidence by increasing viral suppression. Implementation of universal HIV testing approaches, coupled with interventions to leverage linkage to treatment, adapted to local contexts, can reduce HIV acquisition at population level.

Identifiers

PMID37450436
PMCPMC10348573
OpenAlexW4384337919

What OpenQuestion holds

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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 OpenQuestion graph.