Evidence map›Paper›PMID 41298252›Full record

Trial reportJournal of the International AIDS Society2025

Examining the effect of universal testing and treatment strategies for HIV prevention in Zambia and South Africa: generalizing the results of the HPTN 071 (PopART) trial.

Bonnie E Shook-Sa, Paul N Zivich, Stephen R Cole, Nora E Rosenberg, Michael G Hudgens, Deborah J Donnell, Sizulu Moyo, Khangelani Zuma, Helen Ayles, Peter Bock and 3 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of the International AIDS Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Bonnie E Shook-SaDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID https://orcid.org/0000-0001-9506-4047
Paul N ZivichDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Stephen R ColeDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Nora E RosenbergDepartment of Health Behavior, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Michael G HudgensDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Deborah J DonnellFred Hutchinson Cancer Research Center, Seattle, Washington, USA.
Sizulu MoyoHuman Sciences Research Council, Pretoria, South Africa.
Khangelani ZumaHuman Sciences Research Council, Pretoria, South Africa.
Helen AylesLondon School of Hygiene and Tropical Medicine, London, UK.
Peter BockDesmond Tutu TB Centre, Department of Paediatrics and Child Health, Stellenbosch University, Stellenbosch, South Africa.ORCID https://orcid.org/0000-0003-3211-6078
Joseph J EronDivision of Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Richard J HayesLondon School of Hygiene and Tropical Medicine, London, UK.
Jessie K EdwardsDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID https://orcid.org/0000-0002-1741-335X

Funding

STATISTICAL ISSUES IN AIDS RESEARCHR37AI029168 · NIAID · UNIVERSITY OF WASHINGTON · PI JAMES P HUGHES · 1999 to 2026
$9.8M
Improved analysis of experiments and observational studies in HIVR01AI157758 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephen R Cole, Jessie Edwards · 2020 to 2026
$5.0M
Combining sources of information to improve HIV pre-exposure prophylaxisK01AI177102 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Paul Nicholas Zivich · 2023 to 2026
$545k
Developing a regionally representative risk assessment tool to identify men at highest risk of HIV acquisition in sub-Saharan AfricaR21MH134750 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ROSENBERG, NORA, SHOOK-SA, BONNIE E · 2023 to 2023
$417k
Generalizing Effects of Infectious Disease Prevention Interventions in the Presence of InterferenceK01AI182506 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SHOOK-SA, BONNIE E · 2024 to 2025
$340k
Cancer Research UK PRCRPG-Nov21∖100001NIAID NIH HHS K01 AI182506NIH HHS K01AI177102NIH HHS K01AI182506NIH HHS P30AI50410NIH HHS R01AI157758NIH HHS R21MH134750NIH HHS R37AI029168
6 · The paper itself

Abstract

introductionHIV Prevention Trials Network (HPTN) 071 (PopART) was a cluster-randomized trial to evaluate universal testing and treatment (UTT) strategies for HIV prevention. HPTN071 compared three arms: (A) combination prevention with UTT; (B) combination prevention with universal testing and antiretroviral therapy initiation according to local guidelines; and (C) standard of care (SOC). Interventions were implemented in entire randomized communities, with impacts on HIV incidence measured in "population cohorts," that is the HPTN071 sample. Unexpectedly, a significantly lower incidence was not observed in arm A relative to SOC. Importantly, rates of participation in the HPTN071 sample differed among population subgroups, for example men were underrepresented.

methodsTo correct for underrepresented subgroups, PopART intervention effects are estimated in a population of interest, adults aged 18-44 in trial provinces, characterized with two nationally representative HIV-focused surveys. The HPTN071 sample is weighted to match the population of interest by demographics and HIV risk factors. Risk of HIV acquisition is compared across arms, both in the trial population (unweighted) and the population of interest (weighted). Both (1) the risk of HIV acquisition between 1 and 3 years and (2) the risk of HIV acquisition by 3 years are compared.

resultsIn the trial population, estimated risk in arm A is, counterintuitively, slightly higher than SOC (Year 1-3 Risk Difference [RD]: 0.10%; 95% CI: -1.15%, 1.25%). After weighting, risk in arm A is lower than SOC in the population of interest (RD: -0.34%; 95% CI: -2.04%, 0.96%). Weighting also strengthened the estimated effect in arm B relative to SOC (unweighted RD: -0.66%, 95% CI: -1.88%, 0.46%; weighted RD: -1.18%, 95% CI: -2.85%, 0.15%). Weighted year 3 risk difference estimates indicated even stronger possible intervention effects: A versus SOC -0.83% (95% CI: -2.94%, 0.99%), B versus SOC -1.86% (95% CI: -3.80%, -0.09%).

conclusionsPopART interventions are estimated to be more protective in the population of interest than observed in the HPTN071 sample. These results partially explain the unexpected finding in arm A, providing further support for UTT strategies for HIV prevention. This analysis also highlights the importance of considering heterogeneous treatment effects among population subgroups when measuring the overall efficacy of HIV interventions.

Indexed as

HIV InfectionsHIV TestingAdolescentAdultAnti-HIV AgentsFemaleHumansIncidenceMaleSouth AfricaYoung AdultZambiaAnti-HIV Agentsexternal validitygeneralizabilityHIVPopARTpreventionuniversal testing and treatment

Identifiers

PMID41298252
PMCPMC12657112

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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.