Evidence map›Paper›PMID 41555785›Full record

ArticleJournal of the International AIDS Society2026

Estimates and predictors of HIV viral non-suppression in South African adults on antiretroviral treatment.

Haroon Moolla, Reshma Kassanjee, Jonathan Euvrard, Gary Maartens, Hans W Prozesky, Matthew P Fox, Catherine Orrell, Geoffrey Fatti, Frank Tanser, Gilles Wandeler and 5 more

Abstract read
In one paragraph

Article in Journal of the International AIDS Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

15 authors.

Haroon MoollaCentre for Integrated Data and Epidemiological Research, School of Public Health, University of Cape Town, Cape Town, South Africa.
Reshma KassanjeeCentre for Integrated Data and Epidemiological Research, School of Public Health, University of Cape Town, Cape Town, South Africa.
Jonathan EuvrardCentre for Integrated Data and Epidemiological Research, School of Public Health, University of Cape Town, Cape Town, South Africa.
Gary MaartensDivision of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa.
Hans W ProzeskyDivision of Infectious Diseases, Department of Medicine, Stellenbosch University and Tygerberg Hospital, Cape Town, South Africa.
Matthew P FoxDepartments of Epidemiology and Global Health, Boston University School of Public Health, Boston University, Boston, Massachusetts, USA.
Catherine OrrellDesmond Tutu Health Foundation, Cape Town, South Africa.
Geoffrey FattiDivision of Epidemiology and Biostatistics, Department of Global Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Frank TanserAfrica Health Research Institute (AHRI), KwaZulu-Natal, South Africa.
Gilles WandelerDepartment of Infectious Diseases, Bern University Hospital, University of Bern, Bern, Switzerland.
Mary-Ann DaviesCentre for Integrated Data and Epidemiological Research, School of Public Health, University of Cape Town, Cape Town, South Africa.
Renee de WaalCentre for Integrated Data and Epidemiological Research, School of Public Health, University of Cape Town, Cape Town, South Africa.
Patience NyakatoCentre for Integrated Data and Epidemiological Research, School of Public Health, University of Cape Town, Cape Town, South Africa.
Leigh F JohnsonCentre for Integrated Data and Epidemiological Research, School of Public Health, University of Cape Town, Cape Town, South Africa.
International epidemiology Databases to Evaluate AIDS Southern Africa (IeDEA‐SA) Collaboration

Funding

Observational Antiretroviral Studies In Southern Africa (OASIS) CollaborationU01AI069924 · NIAID · UNIVERSITAT BERN · PI Cleophas Chimbetete, Mary-Ann Davies · 2006 to 2026
$55.9M
HIV-associated Tuberculosis Training Program (HATTP)D43TW010559 · FIC · UNIVERSITY OF CAPE TOWN · PI Graeme Ayton Meintjes · 2017 to 2026
$3.0M
FIC NIH HHSFIC NIH HHS D43 TW010559NCI NIH HHSNHLBI NIH HHSNIAAA NIH HHSNIAID NIH HHS U01 AI069924NIDA NIH HHSNIDDK NIH HHSthe U.S. National Institutes of Health's National Institute of Allergy and Infectious Diseases
6 · The paper itself

Abstract

introductionViral suppression estimates are essential for monitoring the performance of HIV programmes. South Africa introduced dolutegravir (DTG)-based antiretroviral therapy (ART) in 2019. We sought to generate updated estimates of viral suppression in South African adults on ART and investigate predictors of viral non-suppression.

methodsThis retrospective cohort study used data from seven South African cohorts participating in the International epidemiology Databases to Evaluate AIDS collaboration. Three main analyses were performed using a viral suppression threshold of 1000 HIV RNA copies/ml. In the first analysis, we fitted a logistic regression model using the full data from the study period (2005-2023). Then, in two causal analyses, we used logistic regression with inverse probability weighting to assess the effects of starting ART on DTG-based regimens (as opposed to starting on non-DTG-based ART) and switching to DTG while virally suppressed (compared to remaining on non-DTG-based ART). In sensitivity analyses, we reduced the suppression threshold to 400 copies/ml and excluded those with missing baseline CD4+ cell count measurements.

resultsThere were 380,720 participants contributing 2,090,912 person-years of observation. Most participants were female (64.7%), and the median age at ART initiation was 35.0 years (interquartile range 28.9-42.3). Viral suppression increased over time, reaching 95.9% in 2023. Twenty-one percent of participants either started ART on DTG-based regimens (7.1%) or switched to DTG-based regimens from a virally suppressed state (14.0%). DTG-based ART was protective against viral non-suppression in both causal models, with adjusted odds ratios of 0.54 (95% confidence interval [CI] 0.48-0.61) and 0.36 (95% CI 0.32-0.39) for those initiating ART on DTG and those switching to DTG, respectively. A history of ART interruption was strongly associated with viral non-suppression, with adjusted odds ratios ranging from 2.49 to 4.55. The odds of non-suppression decreased with increasing age, increasing duration on ART and increasing baseline CD4+ cell count. Results were consistent across sensitivity analyses.

conclusionsDTG-based regimens improve viral suppression among both ART-naïve individuals and those transitioning while suppressed. ART interruptions pose a risk to the sustained success of ART programmes and may further impede efforts to recover from the impacts of recent funding cuts.

Indexed as

Anti-HIV AgentsHeterocyclic Compounds, 3-RingHIV InfectionsViral LoadAdultCD4 Lymphocyte CountDolutegravirFemaleHumansMaleMiddle AgedOxazinesPiperazinesPyridonesRetrospective StudiesSouth AfricaAnti-HIV AgentsDolutegravirHeterocyclic Compounds, 3-RingOxazinesPiperazinesPyridonesantiretroviral therapydolutegravirHIVinterrupted treatmentlongitudinal studyviral load

Identifiers

PMID41555785
PMCPMC12816880

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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.