Evidence map›Paper›PMID 41319670›Full record

ArticleThe Lancet. Microbe2025

HIV drug resistance during antiretroviral therapy scale-up in Uganda, 2012-19: a population-based, longitudinal study.

Michael A Martin, Steven James Reynolds, Brian T Foley, Fred Nalugoda, Thomas C Quinn, Steven A Kemp, Margaret Nakalanzi, Edward Nelson Kankaka, Godfrey Kigozi, Robert Ssekubugu and 10 more

Abstract read
In one paragraph

Article in The Lancet. Microbe, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Patterns of HIV-1 Viral Load Suppression and Drug Resistance During the Dolutegravir Transition: A Population-based Longitudinal Study.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
    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

20 authors.

Michael A MartinDepartment of Pathology, Johns Hopkins School of Medicine, Baltimore, MD, USA; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Steven James ReynoldsRakai Health Sciences Program, Kalisizo, Uganda; Division of Infectious Disease, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA; Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.
Brian T FoleyTheoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, NM, USA.
Fred NalugodaRakai Health Sciences Program, Kalisizo, Uganda.
Thomas C QuinnRakai Health Sciences Program, Kalisizo, Uganda; Division of Infectious Disease, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA; Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.
Steven A KempDepartment of Medicine, University of Cambridge, Cambridge, UK.
Margaret NakalanziRakai Health Sciences Program, Kalisizo, Uganda.
Edward Nelson KankakaRakai Health Sciences Program, Kalisizo, Uganda.
Godfrey KigoziRakai Health Sciences Program, Kalisizo, Uganda.
Robert SsekubuguRakai Health Sciences Program, Kalisizo, Uganda.
Ravindra K GuptaDepartment of Medicine, University of Cambridge, Cambridge, UK; Africa Health Research Institute, KwaZulu-Natal, South Africa.
Lucie Abeler-DörnerPandemic Sciences Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Joseph KagaayiRakai Health Sciences Program, Kalisizo, Uganda; Makerere University School of Public Health, Kampala, Uganda.
Oliver RatmannDepartment of Mathematics, Imperial College London, London, UK.
Christophe FraserPandemic Sciences Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Ronald Moses GaliwangoRakai Health Sciences Program, Kalisizo, Uganda.
David BonsallCentre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
M Kate GrabowskiDepartment of Pathology, Johns Hopkins School of Medicine, Baltimore, MD, USA; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Rakai Health Sciences Program, Kalisizo, Uganda. Electronic address: mgrabow2@jhmi.edu.
Rakai Health Sciences Program Members
PANGEA-HIV Members

Funding

Vaccine Response and Immunotherapeutics SWGP30AI094189 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Anna Palmer Durbin · 2012 to 2026
$67.0M
International Center for Excellence in Research (ICER) in Uganda: Impact of ARVsZIAAI001040 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI REYNOLDS, STEVEN · 2009 to 2025
$23.5M
Circumcision: HIV/STIs and behaviors in a RCT and post-RCT surveillance; RakaiU01AI075115 · NIAID · JOHNS HOPKINS UNIVERSITY · PI GRAY, RONALD H · 2007 to 2011
$9.3M
Epidemiology and Impact of the HIV, NCD, and Urbanization Syndemic in AfricaR01HL152813 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI CHANG, LARRY WILLIAM · 2021 to 2025
$7.8M
ARV effects on HIV epidemiology &behaviors Rakai UgandaR01HD050180 · NICHD · JOHNS HOPKINS UNIVERSITY · PI WAWER, MARIA J · 2005 to 2009
$7.8M
Structural and Social Transitions Among Adolescents in Rakai (SSTAR)R01HD091003 · NICHD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SANTELLI, JOHN S. · 2017 to 2021
$3.7M
The role of penile bacteria and inflammation in HIV susceptibility; Rakai, UgandaR01AI123002 · NIAID · GEORGE WASHINGTON UNIVERSITY · PI LIU, CINDY · 2016 to 2020
$3.3M
Enhanced Provision of Male Circumcision for HIV Prevention, Rakai, UgandaU01AI100031 · NIAID · JOHNS HOPKINS UNIVERSITY · PI GRAY, RONALD H · 2012 to 2014
$3.2M
Evaluating Demand Generation (Stylish Man) for HIV/Family Planning Services RakaiR01AI114438 · NIAID · JOHNS HOPKINS UNIVERSITY · PI WAWER, MARIA J · 2014 to 2017
$3.0M
Genital Anaerobes, Inflammation and HIV Risk; RakaiR01AI087409 · NIAID · JOHNS HOPKINS UNIVERSITY · PI GRAY, RONALD H, PRICE, LANCE BRADLEY · 2010 to 2012
$2.5M
Long-term impact of universal treatment and dolutegravir on population HIV virologic and incidence outcomes in Africa: The LONGVIEW StudyR01AI155080 · NIAID · JOHNS HOPKINS UNIVERSITY · PI GRABOWSKI, MARY KATHRYN · 2021 to 2024
$2.5M
Hard-to-Reach Populations: Implications for Ending the AIDS EpidemicR01AI143333 · NIAID · JOHNS HOPKINS UNIVERSITY · PI CHANG, LARRY WILLIAM · 2019 to 2022
$2.4M
CDC HHS NU 2GGH000817FIC NIH HHS D43 TW009578FIC NIH HHS D43 TW010557Gates Foundation INV-007573Gates Foundation INV-035619Gates Foundation INV-060259Gates Foundation INV-075093Gates Foundation OPP1 084362Intramural NIH HHS ZIA AI001040NHLBI NIH HHS R01 HL152813NIAID NIH HHS K01 AI125086NIAID NIH HHS K25 AI114461NIAID NIH HHS P30 AI094189NIAID NIH HHS R01 AI087409NIAID NIH HHS R01 AI110324NIAID NIH HHS R01 AI114438NIAID NIH HHS R01 AI123002NIAID NIH HHS R01 AI128779NIAID NIH HHS R01 AI143333NIAID NIH HHS R01 AI155080NIAID NIH HHS R21 AI145682NIAID NIH HHS U01 AI075115NIAID NIH HHS U01 AI100031NICHD NIH HHS R01 HD050180NICHD NIH HHS R01 HD070769NICHD NIH HHS R01 HD091003
6 · The paper itself

Abstract

backgroundWith scale-up of antiretroviral therapy (ART) in sub-Saharan Africa, increasing pretreatment HIV drug resistance has been reported; however, the broader effect of ART expansion on population-level resistance patterns remains insufficiently quantified. We aimed to estimate the longitudinal prevalence of drug resistance and resistance-conferring mutations.

methodsThis study used data collected as part of the Rakai Community Cohort Study (RCCS), an open population-based census and cohort study conducted in southern Uganda. At each survey round, residents aged 15-49 years are invited to participate and receive a structured questionnaire that obtains sociodemographic, behavioural, and health information, including self-reported past and current ART use. Voluntary HIV testing is conducted using a rapid test algorithm and a venous blood sample. People with HIV provide samples for viral load quantification and deep sequencing. We analysed RCCS survey, HIV viral load, and deep sequencing (which was used to predict resistance) data from five survey rounds. The key outcomes were the population prevalence of viraemic people with HIV with non-nucleoside reverse transcriptase inhibitor (NNRTI), nucleoside reverse transcriptase inhibitor (NRTI), protease inhibitor, or multiclass resistance among all participants (regardless of HIV serostatus) in the 2015 and 2017 surveys. Prevalence of class-specific resistance and resistance-conferring substitutions were estimated using robust log-Poisson regression.

findingsBetween Aug 10, 2011, and Nov 4, 2020, there were 43 361 participants in the RCCS and 7923 (18·27%) people with HIV. Over five survey rounds, 93 622 participant visits occurred, among which 17 460 (18·65%) were from people with HIV. Over the analysis period, the median age of study participants remained similar (28 years [22-35] in 2012 and 29 years [21-38] in 2019). Sufficient data were available to reliably genotype 4072 (90·03%) of 4523 participant visits from 3407 people with HIV for at least one drug. Overall population prevalence of resistance contributed by viraemic pretreatment people with HIV decreased between 2012 and 2017 from 0·56% (95% CI 0·42-0·75) to 0·25% (0·18-0·33) for NNRTI and from 0·24% (0·15-0·37) to 0·05% (0·02-0·10) for NRTI (prevalence ratio 0·44 [0·29-0·68] for NNRTI and 0·21 [0·09-0·47] for NRTI). Between 2012 and 2017, NNRTI resistance among viraemic pretreatment people with HIV increased from 4·86% (3·69-6·42) to 9·61% (7·27-12·7; prevalence ratio 1·98 [1·34-2·91]). The prevalence of NNRTI and NRTI resistance was substantially higher among viraemic treatment-experienced people with HIV (51·49% [46·24-57·34] for NNRTI and 36·46% [30·06-44·22] for NRTI in 2017) than among pretreatment people with HIV. NNRTI and NRTI resistance was predominantly attributable to rtK103N and rtM184V. inT97A was observed at a similar prevalence among viraemic treatment-experienced (9·96% [6·41-15·48]) and viraemic pretreatment (10·56% [8·01-13·93]) people with HIV; no major dolutegravir resistance mutations were observed.

interpretationDespite rising NNRTI resistance among pretreatment people with HIV, overall population prevalence of pretreatment HIV drug-resistant viraemia decreased due to increasing ART uptake and viral suppression. This finding underscores the crucial role of achieving and maintaining high ART coverage in reducing transmission of drug-resistant HIV. The high prevalence of mutations conferring resistance to components of first-line ART regimens among viraemic people with HIV is potentially concerning.

fundingNational Institutes of Health, Johns Hopkins University Center for AIDS Research, Bill & Melinda Gates Foundation, and the US Centers for Disease Control and Prevention.

Indexed as

Anti-HIV AgentsDrug Resistance, ViralHIV-1HIV InfectionsAdolescentAdultFemaleHumansLongitudinal StudiesMaleMiddle AgedMutationPrevalenceSurveys and QuestionnairesUgandaViral LoadAnti-HIV Agents

Identifiers

PMID41319670
PMCPMC12722182

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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.