Evidence map›Paper›PMID 33315863›Full record

ArticlePLoS medicine2020

Impact of scaling up dolutegravir on antiretroviral resistance in South Africa: A modeling study.

Anthony Hauser, Katharina Kusejko, Leigh F Johnson, Huldrych F Günthard, Julien Riou, Gilles Wandeler, Matthias Egger, Roger D Kouyos

Open access · goldAbstract read
In one paragraph

Article in PLoS medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.2field-weighted citation impact, top 36% 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

10 citing papers in PubMed, 18 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

8 authors at 3 institutions in 3 countries.

Anthony HauserInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.ORCID 0000-0002-7221-1929
Katharina KusejkoDivision of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.ORCID 0000-0002-4638-1940
Leigh F JohnsonCentre for Infectious Disease Epidemiology and Research, University of Cape Town, South Africa.ORCID 0000-0002-2717-011X
Huldrych F GünthardDivision of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.ORCID 0000-0002-1142-6723
Julien RiouInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.ORCID 0000-0002-3808-2852
Gilles WandelerInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.
Matthias EggerInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.ORCID 0000-0001-7462-5132
Roger D KouyosDivision of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.ORCID 0000-0002-9220-8348
University of Bern · CHUniversity of Zurich · CHUniversity of Cape Town · ZA

Funding

Observational Antiretroviral Studies In Southern Africa (OASIS) CollaborationU01AI069924 · NIAID · UNIVERSITAT BERN · PI Cleophas Chimbetete, Mary-Ann Davies · 2006 to 2026
$55.9M
NIAID NIH HHS U01 AI069924
6 · The paper itself

Abstract

backgroundRising resistance of HIV-1 to non-nucleoside reverse transcriptase inhibitors (NNRTIs) threatens the success of the global scale-up of antiretroviral therapy (ART). The switch to WHO-recommended dolutegravir (DTG)-based regimens could reduce this threat due to DTG's high genetic barrier to resistance. We used mathematical modeling to predict the impact of the scale-up of DTG-based ART on NNRTI pretreatment drug resistance (PDR) in South Africa, 2020 to 2040. METHODS AND

findingsWe adapted the Modeling Antiretroviral drug Resistance In South Africa (MARISA) model, an epidemiological model of the transmission of NNRTI resistance in South Africa. We modeled the introduction of DTG in 2020 under 2 scenarios: DTG as first-line regimen for ART initiators, or DTG for all patients, including patients on suppressive NNRTI-based ART. Given the safety concerns related to DTG during pregnancy, we assessed the impact of prescribing DTG to all men and in addition to (1) women beyond reproductive age; (2) women beyond reproductive age or using contraception; and (3) all women. The model projections show that, compared to the continuation of NNRTI-based ART, introducing DTG would lead to a reduction in NNRTI PDR in all scenarios if ART initiators are started on a DTG-based regimen, and those on NNRTI-based regimens are rapidly switched to DTG. NNRTI PDR would continue to increase if DTG-based ART was restricted to men. When given to all men and women, DTG-based ART could reduce the level of NNRTI PDR from 52.4% (without DTG) to 10.4% (with universal DTG) in 2040. If only men and women beyond reproductive age or on contraception are started on or switched to DTG-based ART, NNRTI PDR would reach 25.9% in 2040. Limitations include substantial uncertainty due to the long-term predictions and the current scarcity of knowledge about DTG efficacy in South Africa.

conclusionsOur model shows the potential benefit of scaling up DTG-based regimens for halting the rise of NNRTI resistance. Starting or switching all men and women to DTG would lead to a sustained decline in resistance levels, whereas using DTG-based ART in all men, or in men and women beyond childbearing age, would only slow down the increase in levels of NNRTI PDR.

Indexed as

Drug Resistance, ViralModels, TheoreticalDolutegravirDrug SubstitutionFemaleHeterocyclic Compounds, 3-RingHIV-1HIV InfectionsHIV Integrase InhibitorsHumansMaleOxazinesPiperazinesPyridonesSouth AfricaTime FactorsDolutegravirHeterocyclic Compounds, 3-RingHIV Integrase InhibitorsOxazinesPiperazinesPyridones

Identifiers

PMID33315863
PMCPMC7735592
OpenAlexW3112030046

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.