Evidence map›Paper›PMID 31243144›Full record

ArticleSexually transmitted infections2020

HIV treatment cascade for older adults in rural South Africa.

Julia K Rohr, Jennifer Manne-Goehler, Francesc Xavier Gómez-Olivé, Ryan G Wagner, Molly Rosenberg, Pascal Geldsetzer, Chodziwadziwa Kabudula, Kathleen Kahn, Stephen Tollman, Till Bärnighausen and 1 more

Abstract read
In one paragraph

Article in Sexually transmitted infections, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
–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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. The Strength of Long-Distance Ties for Aging Healthy With HIV: The Case of Rural South Africa.The journals of gerontology. Series B, Psychological sciences and social sciences · 2025
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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

11 authors.

Julia K RohrCenter for Population and Development Studies, Harvard University, Cambridge, Massachusetts, USA jkrohr@hsph.harvard.edu.ORCID 0000-0002-1180-8764
Jennifer Manne-GoehlerDivision of Infectious Diseases, Massachusetts General Hospital, Boston, Massachusetts, USA.
Francesc Xavier Gómez-OlivéMedical Research Council/Wits University Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Ryan G WagnerMedical Research Council/Wits University Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Molly RosenbergDepartment of Epidemiology and Biostatistics, Indiana University Bloomington School of Public Health, Bloomington, Indiana, USA.
Pascal GeldsetzerDepartment of Global Health and Population, Harvard University T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Chodziwadziwa KabudulaMedical Research Council/Wits University Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Kathleen KahnMedical Research Council/Wits University Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Stephen TollmanMedical Research Council/Wits University Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Till BärnighausenMedical Research Council/Wits University Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Joshua A SalomonDepartment of Medicine, Stanford University, Stanford, California, USA.

Funding

SOCIAL AND ECONOMIC PREDICTORS OF PHYSICAL AND COGNITIVE FUNCTIONP01AG041710 · NIA · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI LISA F BERKMAN, THOMAS A GAZIANO · 2013 to 2026
$37.3M
Training Tanzanian Researchers for HIV/AIDS Implementation ScienceD43TW009775 · FIC · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Wafaie W Fawzi, Christopher Sudfeld · 2015 to 2026
$3.0M
New Methods for the design and evaluation of large HIV prevention interventionsR01AI112339 · NIAID · YALE UNIVERSITY · PI SPIEGELMAN, DONNA L · 2014 to 2017
$2.7M
Causal Pathways to population health impact of HIV antiretroviral treatmentR01HD084233 · NICHD · UNIVERSITY OF KWAZULU-NATAL · PI BARNIGHAUSEN, TILL, TANSER, FRANK COURTENEY · 2015 to 2021
$2.3M
Can HIV Hot-Spots be eradicated? An intervention to decrease HIV transmission to young women in rural KwaZulu-Natal South AfricaR01AI124389 · NIAID · UNIVERSITY OF KWAZULU-NATAL · PI BARNIGHAUSEN, TILL, TANSER, FRANK COURTENEY · 2016 to 2020
$2.1M
FIC NIH HHS D43 TW009775NIAID NIH HHS R01 AI112339NIAID NIH HHS R01 AI124389NIA NIH HHS P01 AG041710NICHD NIH HHS R01 HD084233Wellcome TrustWellcome Trust 058893/Z/99/AWellcome Trust 069683/Z/02/ZWellcome Trust 085477/B/08/ZWellcome Trust 085477/Z/08/Z
6 · The paper itself

Abstract

objectivesThe HIV treatment cascade is a powerful framework for understanding progress from initial diagnosis to successful treatment. Data sources for cascades vary and often are based on clinical cohorts, population cohorts linked to clinics, or self-reported information. We use both biomarkers and self-reported data from a large population-based cohort of older South Africans to establish the first HIV cascade for this growing segment of the HIV-positive population and compare results using the different data sources.

methodsData came from the Health and Aging in Africa: A Longitudinal Study of an INDEPTH Community in South Africa (HAALSI) 2015 baseline survey of 5059 adults aged 40+ years. Dried blood spots (DBS) were screened for HIV, antiretroviral drugs and viral load. In-home surveys asked about HIV testing, diagnosis and antiretroviral therapy (ART) use. We calculated proportions and CIs for each stage of the cascade, conditional on attainment of the previous stage, using (1) biomarkers, (2) self-report and (3) both biomarkers and self-report, and compared with UNAIDS 90-90-90 targets.

results4560 participants had DBS results, among whom 1048 (23%) screened HIV-positive and comprised the denominator for each cascade. The biomarker cascade showed 63% (95% CI 60 to 66) on ART and 72% (95% CI 69 to 76) of those on ART with viral suppression. Self-reports underestimated testing, diagnosis and ART, with only 47% (95% CI 44 to 50) of HIV-positive individuals reporting ART use. The combined cascade indicated high HIV testing (89% (95% CI 87 to 91)), but lower knowledge of HIV-positive status (71% (95% CI 68 to 74)).

conclusionsOlder South Africans need repeated HIV testing and sustained ART to reach 90-90-90 targets. HIV cascades relying on self-reports are likely to underestimate true cascade attainment, and biomarkers provide substantial improvements to cascade estimates.

Indexed as

Case ManagementRural PopulationAdultAgedAged, 80 and overAnti-Retroviral AgentsBloodBlood Chemical AnalysisFemaleHIV InfectionsHumansInterviews as TopicMaleMiddle AgedSouth AfricaViral LoadAnti-Retroviral Agentsafricaantiretroviral therapyhivtreatment

Identifiers

PMID31243144
PMCPMC6930968

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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.