Evidence map›Paper›PMID 41065287›Full record

ArticleJournal of acquired immune deficiency syndromes (1999)2026

An HIV-1 Risk Assessment Tool for Men Aged 15-59 years in 13 African Countries: A Pooled Analysis of Nationally Representative Surveys.

Nora E Rosenberg, Amber M Young, Yating Zou, Jessica Justman, Manhattan E Charurat, Sizulu Moyo, Khangelani Zuma, Linda-Gail Bekker, Lynda Stranix-Chibanda, Sam J Phiri and 5 more

Abstract read
In one paragraph

Article in Journal of acquired immune deficiency syndromes (1999), 2026. 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

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. Trial
  2. The HIV/AIDS response as we knew it is over: Where do we go from here?Journal of the International AIDS Society · 2026
    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

15 authors.

Nora E RosenbergDepartment of Health Behavior, University of North Carolina at Chapel Hill, Chapel Hill, NC.ORCID 0000-0002-9759-9966
Amber M YoungDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC.
Yating ZouDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC.
Jessica JustmanICAP at Columbia, Mailman School of Public Health, Columbia University, New York, NY.
Manhattan E CharuratInstitute of Human Virology, University of Maryland School of Medicine, Baltimore, MD.
Sizulu MoyoHuman Sciences Research Council, Pretoria, South Africa.
Khangelani ZumaHuman Sciences Research Council, Pretoria, South Africa.
Linda-Gail BekkerThe Desmond Tutu HIV Centre, University of Cape Town, Cape Town, South Africa.
Lynda Stranix-ChibandaChild and Adolescent Health Unit, Faculty of Medicine and Health Sciences, University of Zimbabwe, Harare, Zimbabwe.
Sam J PhiriPartners in Hope, Lilongwe, Malawi.
Nadia A Sam-AguduDepartment of Pediatrics, Global Pediatrics Program and Division of Infectious Diseases, University of Minnesota Medical School, Minneapolis, MN.
Marcel YotebiengDivision of General Internal Medicine, Department of Medicine, Albert Einstein College of Medicine, Bronx, NY; and.
Michael G HudgensDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC.
Benjamin H ChiDepartment of Obstetrics and Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, NC.
Bonnie E Shook-SaDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC.

Funding

Virology, Immunology, and Microbiology CoreP30AI050410 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVID M. MARGOLIS · 2001 to 2026
$76.9M
"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
Role of Data Streams In Informing Infection Dynamics in Africa- INFORM AfricaU54TW012041 · FIC · INSTITUTE OF HUMAN VIROLOGY · PI Alash'le G. Abimiku, Tulio de Paiva Nazareth Andrade De Oliveira · 2021 to 2026
$6.9M
Integrated Networks of Scholars in Global Health Research Training (INSIGHT) Program D43TW012274 · FIC · UNIVERSITY OF MARYLAND BALTIMORE · PI Olakunle Alonge, Jessica Griffin Burke · 2022 to 2026
$6.5M
Einstein/Rwanda/DRC Consortium for Research in HIV/HPV/MalignanciesU54CA254568 · NCI · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI ANASTOS, KATHRYN M. · 2020 to 2024
$5.1M
Resilient HIV Implementation Science with Sexual and Gender Minority Youths using Evidence (RISE) Clinical Research CenterUG1HD113162 · NICHD · UNIVERSITY OF MARYLAND BALTIMORE · PI Sylvia Adebajo, Manhattan E Charurat · 2023 to 2026
$4.9M
The Botswana Cancer-HIV Care Assistance and Monitoring using Peers (CHAMPS)U01CA275048 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI Manhattan E Charurat, Seth S Himelhoch · 2022 to 2026
$3.9M
Synergistic epidemics of non-communicable diseases, stigma, depression, and material insecurities among sexual and gender minorities living with HIV in NigeriaR01HL165686 · NHLBI · UNIVERSITY OF MARYLAND BALTIMORE · PI Manhattan E Charurat, Typhanye Vielka Dyer · 2022 to 2026
$3.7M
HIV/ART, low birth weight, and mortality in HIV-exposed uninfected children: a translational mechanistic studyR01HD105526 · NICHD · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI KWIEK, JESSE J, YOTEBIENG, MARCEL · 2021 to 2025
$3.6M
Improving rapid phenotypic drug susceptibility testing for drug resistant tuberculosis in high-burden areasR01AI176309 · NIAID · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANCA I RESTREPO, Jordi B Torrelles · 2023 to 2026
$3.5M
Impact of Non - B HIV - 1 Subtype on second line Protease Inhibitor Regimens in Africa (INSPIRE)R01AI147331 · NIAID · UNIVERSITY OF MARYLAND BALTIMORE · PI CHARURAT, MANHATTAN E, NDEMBI, NICAISE · 2020 to 2025
$2.9M
Mentoring new investigators in PMTCT implementation researchK24AI120796 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Benjamin H. Chi · 2016 to 2026
$1.3M
CDC HHS 1U2GGH00094CDC HHS 5NU2GGH001226CDC HHS NU2GGH001271CDC HHS NU2GGH001629CDC HHS U2GGH001271CDC HHS U2GGH00217CDC HHS U2GGH002173CDC HHS UGGH002108CDC HHS UGGH002172NIAID NIH HHS K01 AI182506NIH HHS D43TW012274NIH HHS K01AI182506NIH HHS K24AI120796NIH HHS P30AI050410NIH HHS R01AI147331NIH HHS R01AI176309NIH HHS R01HD105526NIH HHS R01HL165686NIH HHS R21MH125705NIH HHS R21MH134750NIH HHS U01AI096299NIH HHS U01CA275048NIH HHS U54CA254568NIH HHS U54TW012041NIH HHS UG1HD113162NIMH NIH HHS R21 MH134750
6 · The paper itself

Abstract

backgroundGlobally, approximately half of new HIV acquisitions occur among African adults. This analysis examines which cisgender men are at highest risk of acquiring HIV-1 and in greatest need of HIV pre-exposure prophylaxis (PrEP).

settingNational population-based surveys from Eswatini, Ivory Coast, Kenya, Lesotho, Malawi, Namibia, Nigeria, Rwanda, South Africa, Tanzania, Uganda, Zambia, and Zimbabwe.

methodsThe 13 surveys were pooled and sampling weights were applied to represent all susceptible men aged 15-59 years old. HIV-1 incidence was calculated based on a recent HIV-1 testing algorithm. A least absolute shrinkage and selection operator (Lasso) regression model was fit with 28 variables to predict recent HIV-1. Models were trained and internally cross-validated to estimate area under the receiver-operating characteristic curve (AUC). Along the receiver-operating characteristic curve, at sensitivity levels from 10% to 90%, performance tradeoffs were evaluated.

resultsOf 167,121 participants, 112 had recent HIV-1, representing 256,000 new annual infections among 122 million men. Only 2 variables were retained-reporting a male sexual partner and living in a subnational area where a high proportion of adults have detectable HIV-1 viremia. Overall AUC was 0.80 (95% Confidence Interval: 0.71 to 0.89); cross-validated AUC was 0.76 (95% CI: 0.64 to 0.87). At 10% sensitivity, 25,000 cases could be averted if 357,000 men adhered to PrEP (Number Needed to Treat = 14). At 90% sensitivity, 229,000 cases could be averted if 50 million men adhered to PrEP (Number Needed to Treat = 219).

conclusionsThis predictive, parsimonious, generalizable risk assessment tool could help policymakers weigh tradeoffs between PrEP reach and efficiency.

Indexed as

HIV-1HIV InfectionsAdolescentAdultAfricaHumansIncidenceMaleMiddle AgedPre-Exposure ProphylaxisRisk AssessmentYoung AdultAfricaHIVpre-exposure prophylaxispreventionrisk scoreviral suppression

Identifiers

PMID41065287
PMCPMC13009710

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Registered trials

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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.