Evidence map›Paper›PMID 41794156›Full record

ArticleAnnals of epidemiology2026

HIV disease progression following WHO treat all guideline adoption among people enrolled in HIV care in Central Africa: A multistate analysis.

Hongbin Zhang, Jiaqi Zhu, Ellen Brazier, Olga Tymejczyk, Marcel Yotebieng, April D Kimmel, Kathryn Anastos, Jonathan Ross, Donald R Hoover, Qiuhu Shi and 6 more

Abstract read
In one paragraph

Article in Annals of epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Hongbin ZhangDepartment of Biostatistics, College of Public Health, University of Kentucky, Lexington, USA; Institute for Implementation Science in Population Health, City University of New York, New York, NY, USA. Electronic address: hongbin.zhang@uky.edu.
Jiaqi ZhuInstitute for Implementation Science in Population Health, City University of New York, New York, NY, USA.
Ellen BrazierInstitute for Implementation Science in Population Health, City University of New York, New York, NY, USA; Graduate School of Public Health and Health Policy, City University of New York, New York, NY, USA.
Olga TymejczykInstitute for Implementation Science in Population Health, City University of New York, New York, NY, USA.
Marcel YotebiengDivision of General Internal Medicine, Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, USA.
April D KimmelDepartment of Health Behavior and Policy, Virginia Commonwealth University School of Medicine, Richmond, VA, USA.
Kathryn AnastosDivision of General Internal Medicine, Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, USA.
Jonathan RossDivision of General Internal Medicine, Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, USA.
Donald R HooverDepartment of Statistics and Institute for Health, Health Care Policy and Aging Research, Rutgers the State University of New Jersey, Piscataway, NJ, USA.
Qiuhu ShiDepartment of Epidemiology and Community Health, New York Medical College, Valhalla, NY, USA.
Gad MurenziEinstein-Rwanda Research and Capacity Building Program, Rwanda Military Hospital and Research for Development (RD Rwanda), Kigali, Rwanda.
Dominique NsondeCTA Brazzaville, Brazzaville, Democratic Republic of the Congo.
Anastase DzudieClinical Research Education, Networking and Consultancy, Yaounde, Cameroon.
Patricia LeloPediatric Hospital Kalembe Lembe, Kinshasa, Democratic Republic of the Congo.
Christella TwizereCentre National de Reference en Matiere de VIH/SIDA, Bujumbura, Burundi.
Denis NashInstitute for Implementation Science in Population Health, City University of New York, New York, NY, USA; Graduate School of Public Health and Health Policy, City University of New York, New York, NY, USA.

Funding

"Enhancing Cancer Research in Central Africa IeDEA"U01AI096299 · NIAID · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI Denis Nash, Marcel Yotebieng · 2011 to 2026
$35.8M
Developing Statistical Methods on Event History Data Subject to Data Complexities for HIV Disease Progression and Policy EvaluationR21AI177008 · NIAID · UNIVERSITY OF KENTUCKY · PI NASH, DENIS, ZHANG, HONGBIN · 2023 to 2024
$461k
NIAID NIH HHS R21 AI177008NIAID NIH HHS U01 AI096299
6 · The paper itself

Abstract

introductionThe World Health Organization's Treat All guidelines, which eliminate eligibility thresholds for initiating antiretroviral therapy (ART) among people living with HIV, have been implemented by most countries. However, how Treat All relates to the clinical progression of HIV disease across stages remains less well characterized.

methodsWe applied a target trial-inspired design to examine the association between Treat All policy implementation and HIV disease progression in the Central Africa region of the International Epidemiology Databases to Evaluate AIDS (IeDEA). The analysis included individuals enrolled in HIV care between 2013 and 2019. Using continuous-time multistate models, we estimated transition-specific hazards across four WHO clinical stages (1: asymptomatic; 2: mild; 3: advanced; 4: severe) and death. Disease progression was compared between individuals enrolling after (n = 4607) versus before (n = 4439) Treat All adoption, with hazard ratios (HRs) estimated with and without covariate adjustment.

resultsAt enrollment, the distribution of WHO clinical stage in the Treat All cohort was 63.4% asymptomatic, 17.7% mild, 15.6% advanced, and 3.3% severe, compared with 59.1%, 18.3%, 19.0%, and 3.6%, respectively, in the pre-Treat All cohort. Treat All implementation was associated with lower hazards of disease progression for early-stage transitions. Specifically, reduced hazards were observed for transitions from stage 1 to stage 2 (adjusted HR [aHR] 0.64, 95% CI: 0.44-0.94) and from stage 1 directly to death (aHR 0.37, 95% CI: 0.17-0.81). Estimates for transitions originating from later disease stages were less precise, and no statistically significant differences were observed.

conclusionsEnrollment in HIV care following Treat All policy adoption was associated with reduced early-stage disease progression and mortality, suggesting more favorable disease-progression dynamics among individuals entering care in the Treat All era. These findings complement existing evidence on ART uptake and viral suppression and support the role of universal ART initiation in routine HIV care.

Indexed as

Anti-HIV AgentsDisease ProgressionHIV InfectionsAdultAfrica, CentralFemaleHumansMaleMiddle AgedPractice Guidelines as TopicProportional Hazards ModelsWorld Health OrganizationAnti-HIV AgentsHIV care continuumHIV disease progressionMultistate modelingTarget trial–inspired designTreat All policy

Identifiers

PMID41794156
PMCPMC13015763

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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.