Evidence map›Paper›PMID 38684655›Full record

ArticleNature communications2024

HIV transmission dynamics and population-wide drug resistance in rural South Africa.

Steven A Kemp, Kimia Kamelian, Diego F Cuadros, PANGEA Consortium, Vukuzazi Team, Mark T K Cheng, Elphas Okango, Willem Hanekom, Thumbi Ndung'u, Deenan Pillay and 5 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.7field-weighted citation impact, top 4% 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

15 citing papers in PubMed, 13 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 6 institutions in 3 countries.

Steven A Kemp *Department of Medicine, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0001-7077-6793
Kimia Kamelian *Department of Medicine, University of Cambridge, Cambridge, UK.
Diego F Cuadros *Digital Epidemiology Laboratory, Digital Futures, University of Cincinnati, Cincinnati, OH, USA.ORCID http://orcid.org/0000-0001-7060-4203
PANGEA Consortium
Vukuzazi Team
Mark T K ChengDepartment of Medicine, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0003-4323-5574
Elphas OkangoAfrica Health Research Institute, KwaZulu-Natal, Durban, South Africa.
Willem HanekomAfrica Health Research Institute, KwaZulu-Natal, Durban, South Africa.ORCID http://orcid.org/0000-0003-3070-6154
Thumbi Ndung'uAfrica Health Research Institute, KwaZulu-Natal, Durban, South Africa.
Deenan PillayUniversity College London, London, UK.
David BonsallPandemic Science Institute, Big Data Institute, University of Oxford, Oxford, UK.
Emily B WongAfrica Health Research Institute, KwaZulu-Natal, Durban, South Africa.ORCID http://orcid.org/0000-0003-4755-5380
Frank TanserUniversity of Stellenbosch, Cape Town, South Africa.
Mark J SiednerAfrica Health Research Institute, KwaZulu-Natal, Durban, South Africa.ORCID http://orcid.org/0000-0003-3506-842X
Ravindra K GuptaDepartment of Medicine, University of Cambridge, Cambridge, UK. rkg20@cam.ac.uk.ORCID http://orcid.org/0000-0001-9751-1808
University of Cambridge · GBAfrica Health Research Institute · ZAStellenbosch University · ZAUniversity of Oxford · GBUniversity College London · GBUniversity of Cincinnati · US

Funding

Mentoring patient-oriented research to improve cardiovascular health among people with HIV in sub-Saharan AfricaK24HL166024 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI MARK J SIEDNER · 2022 to 2026
$616k
NHLBI NIH HHS K24 HL166024Wellcome Trust
6 · The paper itself

Abstract

Despite expanded antiretroviral therapy (ART) in South Africa, HIV-1 transmission persists. Integrase strand transfer inhibitors (INSTI) and long-acting injectables offer potential for superior viral suppression, but pre-existing drug resistance could threaten their effectiveness. In a community-based study in rural KwaZulu-Natal, prior to widespread INSTI usage, we enroled 18,025 individuals to characterise HIV-1 drug resistance and transmission networks to inform public health strategies. HIV testing and reflex viral load quantification were performed, with deep sequencing (20% variant threshold) used to detect resistance mutations. Phylogenetic and geospatial analyses characterised transmission clusters. One-third of participants were HIV-positive, with 21.7% having detectable viral loads; 62.1% of those with detectable viral loads were ART-naïve. Resistance to older reverse transcriptase (RT)-targeting drugs was found, but INSTI resistance remained low (<1%). Non-nucleoside reverse transcriptase inhibitor (NNRTI) resistance, particularly to rilpivirine (RPV) even in ART-naïve individuals, was concerning. Twenty percent of sequenced individuals belonged to transmission clusters, with geographic analysis highlighting higher clustering in peripheral and rural areas. Our findings suggest promise for INSTI-based strategies in this setting but underscore the need for RPV resistance screening before implementing long-acting cabotegravir (CAB) + RPV. The significant clustering emphasises the importance of geographically targeted interventions to effectively curb HIV-1 transmission.

Indexed as

Drug Resistance, ViralHIV-1HIV InfectionsPhylogenyRural PopulationViral LoadAdolescentAdultAnti-HIV AgentsFemaleHIV Integrase InhibitorsHumansMaleMiddle AgedMutationReverse Transcriptase InhibitorsAnti-HIV AgentsHIV Integrase InhibitorsReverse Transcriptase Inhibitors

Identifiers

PMID38684655
PMCPMC11059351
OpenAlexW4396214423

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.