Evidence map›Paper›PMID 41240951›Full record

ArticleThe Lancet. Global health2025

The effect of long-acting cabotegravir and rilpivirine treatment on drug resistance in South Africa: a modelling study.

Nuri Han, Tom Loosli, Nanina Anderegg, Anthony Hauser, Johannes Josi, Mary-Ann Davies, Leigh F Johnson, Richard Lessells, Huldrych F Günthard, Matthias Egger and 1 more

Abstract read
In one paragraph

Article in The Lancet. Global health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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.

Nuri HanDepartment of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland; Institute of Medical Virology, University of Zurich, Zurich, Switzerland.
Tom LoosliDepartment of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland; Institute of Medical Virology, University of Zurich, Zurich, Switzerland.
Nanina AndereggInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.
Anthony HauserDepartment of Epidemiology and Health Systems, Unisanté, Center for Primary Care and Public Health and University of Lausanne, Lausanne, Switzerland.
Johannes JosiDepartment of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland; Institute of Medical Virology, University of Zurich, Zurich, Switzerland.
Mary-Ann DaviesCentre for Integrated Data and Epidemiological Research, University of Cape Town, Cape Town, South Africa.
Leigh F JohnsonCentre for Integrated Data and Epidemiological Research, University of Cape Town, Cape Town, South Africa.
Richard LessellsKwaZulu-Natal Research Innovation and Sequencing Platform, University of KwaZulu-Natal, Durban, South Africa; Centre for the AIDS Programme of Research in South Africa, Durban, South Africa.
Huldrych F GünthardDepartment of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland; Institute of Medical Virology, University of Zurich, Zurich, Switzerland.
Matthias EggerInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland; Centre for Integrated Data and Epidemiological Research, University of Cape Town, Cape Town, South Africa; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Roger D KouyosDepartment of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland; Institute of Medical Virology, University of Zurich, Zurich, Switzerland. Electronic address: roger.kouyos@uzh.ch.

Funding

North American AIDS Cohorts on Collaboration and Design (NAACCORD)U01AI069918 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Keri Nicole Althoff, RICHARD Douglas MOORE · 2006 to 2026
$65.2M
Observational Antiretroviral Studies In Southern Africa (OASIS) CollaborationU01AI069924 · NIAID · UNIVERSITAT BERN · PI Cleophas Chimbetete, Mary-Ann Davies · 2006 to 2026
$55.9M
HIV-1 subtype-specific drug resistance in patients failing Dolutegravir-based 1st, 2nd or 3rd line regimens: the International epidemiological Databases to Evaluate AIDS (IeDEA)R01AI152772 · NIAID · UNIVERSITY OF ZURICH · PI Roger Dimitri Kouyos · 2021 to 2026
$3.2M
NIAID NIH HHS R01 AI152772NIAID NIH HHS U01 AI069918NIAID NIH HHS U01 AI069924
6 · The paper itself

Abstract

backgroundLong-acting injectable cabotegravir and rilpivirine (LAI cabotegravir and rilpivirine) is recommended as maintenance therapy for people living with HIV who achieved viral suppression on oral antiretroviral therapy (ART). However, its effect on drug resistance evolution in resource-limited settings remains uncertain. We aimed to assess this effect under different roll-out strategies and explore key factors for resistance.

methodsWe extended the Modelling Antiretroviral Drug Resistance In South Africa (MARISA) model to assess the effect of introducing LAI cabotegravir and rilpivirine in South Africa from 2025 to 2045. The HIV transmission rate was recalibrated using incidence estimates from the Thembisa model. We considered three strategies: dolutegravir-based ART as per current guidelines; LAI cabotegravir and rilpivirine as a switching option for those with viral suppression; and LAI cabotegravir and rilpivirine for both switching and ART initiation. We assumed faster development of integrase strand transfer inhibitor (INSTI) resistance in individuals with viraemia (≥1000 copies/mL) on LAI cabotegravir and rilpivirine than those with viraemia on dolutegravir-based ART. We evaluated their effect on pre-treatment drug resistance (PDR) and transmitted drug resistance (TDR) for INSTI and rilpivirine, explored resistance mitigation strategies, and identified key uncertainties through one-at-a-time local and global sensitivity analyses.

findingsBy 2045, using LAI cabotegravir and rilpivirine for both switching and ART initiation was estimated to lead to higher INSTI resistance levels, with 30·6% INSTI PDR and 11·3% INSTI TDR at 30% LAI cabotegravir and rilpivirine coverage, compared with 14·0% INSTI PDR and 6·9% INSTI TDR with continued oral dolutegravir-based ART. Rilpivirine resistance under the LAI cabotegravir and rilpivirine initiation and switch strategy was estimated to increase to 41·0% PDR and 30·0% TDR, compared with 6·7% and 4·5% with oral dolutegravir-based ART. Resistance levels were similar for LAI cabotegravir and rilpivirine as a switching option for those with viral suppression. A course of oral ART after LAI cabotegravir and rilpivirine interruption (oral bridging) decreased the risk of drug resistance due to the long pharmacokinetic tail, resulting in 22·3% INSTI PDR and 26·0% rilpivirine PDR when using LAI cabotegravir and rilpivirine for both switching and ART initiation. Key factors influencing resistance levels were care disengagement rates, LAI cabotegravir and rilpivirine coverage, and INSTI mutation reversion rates.

interpretationLAI cabotegravir and rilpivirine roll-out in South Africa should be cautious and targeted. Resistance risks may be mitigated through pre-treatment resistance testing, close monitoring of treatment outcomes, and efforts to increase retention in care.

fundingUS National Institutes of Health National Institute of Allergy and Infectious Diseases and the Swiss National Science Foundation.

Indexed as

Anti-HIV AgentsDrug Resistance, ViralHIV InfectionsPyridonesRilpivirineDiketopiperazinesDolutegravirHeterocyclic Compounds, 3-RingHumansOxazinesPiperazinesSouth AfricaAnti-HIV AgentscabotegravirDiketopiperazinesDolutegravirHeterocyclic Compounds, 3-RingOxazinesPiperazinesPyridonesRilpivirine

Identifiers

PMID41240951
PMCPMC12626384

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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.