Evidence map›Paper›PMID 41137109›Full record

ArticleAIDS research and therapy2025

Dolutegravir rollout for treatment of HIV with a focus on advanced disease and tuberculosis coinfection: findings from rural KwaZulu-Natal, South Africa (2019-2023).

Reuben Christopher Moyo, Larisse Bolton, Elphas Luchemo Okango, Margot Otto, Nthoesele Letoao, Peter Suwirakwenda Nyasulu, Frank Tanser

Abstract read
In one paragraph

Article in AIDS research and therapy, 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

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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.

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4 · The record

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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

7 authors.

Reuben Christopher MoyoSouth African Centre for Epidemiological Modelling and Analysis (SACEMA), School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa. 22328440@sun.ac.za.
Larisse BoltonSouth African Centre for Epidemiological Modelling and Analysis (SACEMA), School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
Elphas Luchemo OkangoAfrica Health Research Institute (AHRI), Durban, South Africa.
Margot OttoSouth African Centre for Epidemiological Modelling and Analysis (SACEMA), School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
Nthoesele LetoaoSouth African Centre for Epidemiological Modelling and Analysis (SACEMA), School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
Peter Suwirakwenda NyasuluDivision of Epidemiology and Biostatistics, Department of Global Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Stellenbosch, South Africa.
Frank TanserSouth African Centre for Epidemiological Modelling and Analysis (SACEMA), School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.

Funding

The changing face of HIV in the era of COVID-19: Maximising HIV incidence reduction through dynamic targeting of current and future distributions of acquisition risk.R01MH131480 · NIMH · STELLENBOSCH UNIVERSITY · PI Henry Godwell Mwambi, Frank Courteney Tanser · 2023 to 2026
$2.0M
NIMH NIH HHS R01 MH131480NIMH NIH HHS R01MH131480Wellcome TrustWellcome Trust 227167/A/23/Z)
6 · The paper itself

Abstract

backgroundWhile Dolutegravir (DTG) containing antiretroviral therapy (ART) has become the preferred regimen for people living with HIV (PLHIV), the pace and equity of its adoption, especially among subgroups with tuberculosis (TB) symptoms and advanced HIV disease (AHD), remain understudied in high-burden settings like rural KwaZulu-Natal (KZN), South Africa. This study describes the transition to DTG and examines the effect of TB and AHD (CD4 count < 200 cells/mm

methodsWe conducted a longitudinal cohort analysis using routine HIV program data from 69,916 PLHIV aged ≥ 15 years attending 19 HIV clinics in rural KZN, between 1st October 2019, and December 31st 2023. Kaplan-Meier analysis estimated time to DTG transition, while a multivariate mixed-effect Cox proportional hazards model evaluated factors associated with transitioning to DTG.

resultsOf the 69,916 PLHIV included in the cohort, 49,365 (70.6%) were female, and the median age of the PLHIV was 40 years (IQR: 32-49). By the end of the follow-up period, 70.9% (n = 49,598) of the PLHIV transitioned to DTG in 165,880 person-years. The median time to DTG transition was 14 months among PLHIV without TB symptoms, compared to 22 months among those with TB symptoms. Similarly, PLHIV with CD4 counts ≥ 350 cells/mm³ transitioned at a median of 14 months, while those with CD4 < 200 cells/mm³ transitioned 14 months later. The likelihood of transitioning to DTG was 22% lower among PLHIV with TB symptoms (aHR = 0.78, 95% CI: 0.76, 0.82) compared to their counterparts without TB symptoms, and 43% lower among PLHIV with AHD (aHR = 0.57, 95% CI: 0.54,1.59) compared to their counterparts without AHD.

conclusionOur analysis showed that over a quarter of the PLHIV in rural KZN remained on non-DTG-containing regimens by 31st December 2023. PLHIV coinfected with TB and having AHD transitioned at a slower pace than their counterparts.

Indexed as

Anti-HIV AgentsCoinfectionHeterocyclic Compounds, 3-RingHIV InfectionsHIV Integrase InhibitorsOxazinesPiperazinesPyridonesTuberculosisAdolescentAdultCD4 Lymphocyte CountDolutegravirFemaleHumansLongitudinal StudiesAnti-HIV AgentsDolutegravirHeterocyclic Compounds, 3-RingHIV Integrase InhibitorsOxazinesPiperazinesPyridonesAdvanced HIV diseaseDolutegravirSouth AfricaTuberculosis

Identifiers

PMID41137109
PMCPMC12551340

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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.