Evidence map›Paper›PMID 34309633›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2022

CD4+ T-Cell Count at Antiretroviral Therapy Initiation in the "Treat-All" Era in Rural South Africa: An Interrupted Time Series Analysis.

H Manisha Yapa, Hae-Young Kim, Kathy Petoumenos, Frank A Post, Awachana Jiamsakul, Jan-Walter De Neve, Frank Tanser, Collins Iwuji, Kathy Baisley, Maryam Shahmanesh and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

18 citing papers in PubMed, 22 citations in OpenAlex.

  1. Trial
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  3. Association of Immunodeficiency and HIV Viremia With Cervical Precancer and Cancer Risk Among Women With HIV in South Africa.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
    Article
  4. Article
  5. Temporal trends in tuberculosis and time from enrolment in care to antiretroviral therapy initiation: A multicountry cohort study from Latin America.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2025
    Article
  6. Global Trends in CD4 Count Measurement and Distribution at First Antiretroviral Treatment Initiation.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025
    Article
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  13. Observational
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  16. Review
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  18. CD4 Cell Count: A Critical Tool in the Human Immunodeficiency Virus Response.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2022
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 9 institutions in 5 countries.

H Manisha YapaThe Kirby Institute, University of New South WalesSydney, NSW, Australia.ORCID 0000-0002-0100-4754
Hae-Young KimAfrica Health Research Institute, KwaZulu-Natal, South Africa.
Kathy PetoumenosThe Kirby Institute, University of New South WalesSydney, NSW, Australia.
Frank A PostKing's College Hospital National Health Service Foundation Trust, London, United Kingdom.
Awachana JiamsakulThe Kirby Institute, University of New South WalesSydney, NSW, Australia.
Jan-Walter De NeveHeidelberg Institute of Global Health, Faculty of Medicine and University Hospital, University of Heidelberg, Heidelberg, Germany.
Frank TanserAfrica Health Research Institute, KwaZulu-Natal, South Africa.
Collins IwujiAfrica Health Research Institute, KwaZulu-Natal, South Africa.
Kathy BaisleyAfrica Health Research Institute, KwaZulu-Natal, South Africa.ORCID 0000-0003-1849-6625
Maryam ShahmaneshAfrica Health Research Institute, KwaZulu-Natal, South Africa.
Deenan PillayAfrica Health Research Institute, KwaZulu-Natal, South Africa.
Mark J SiednerAfrica Health Research Institute, KwaZulu-Natal, South Africa.
Till BärnighausenAfrica Health Research Institute, KwaZulu-Natal, South Africa.
Jacob BorAfrica Health Research Institute, KwaZulu-Natal, South Africa.
Africa Health Research Institute · ZAUNSW Sydney · AUHarvard University · USBoston University · USBrighton and Sussex Medical School · GBCentre for the AIDS Programme of Research in South Africa · ZAHeidelberg University · DELondon School of Hygiene & Tropical Medicine · GBNational Health Service · GB

Funding

Resistance testing versus adherence support for management of patients with virologic failure on first-line antiretroviral therapy in sub-Saharan Africa: An open-label randomized controlled trialR01AI124718 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI MUYINDIKE, WINNIE, SIEDNER, MARK J · 2016 to 2020
$3.0M
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
Maximizing combination HIV prevention, uptake and retention by adolescent girls and young womenR01MH114560 · NIMH · KWAZULU-NATAL RESEARCH INSTITUTE TB-HIV · PI SHAHMANESH, MARYAM · 2017 to 2023
$2.0M
Evaluating UTT with a National HIV Cohort to Optimize South Africa's HIV Response (ENCORE)R01AI152149 · NIAID · WITS HEALTH CONSORTIUM (PTY), LTD · PI BOR, JACOB, ONOYA, DORINA · 2020 to 2024
$1.8M
Economic, health, and behavioral dimensions of HIV treatment scale-upK01MH105320 · NIMH · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BOR, JACOB · 2015 to 2018
$613k
FIC NIH HHS D43 TW009775Medical Research Council MR/R010161/1NIAID NIH HHS R01 AI112339NIAID NIH HHS R01 AI124718NIAID NIH HHS R01 AI152149NICHD NIH HHS R01 HD084233NIMH NIH HHS K01 MH105320NIMH NIH HHS R01 MH114560Wellcome TrustWellcome Trust 201433/A/16/A
6 · The paper itself

Abstract

backgroundSouth Africa implemented universal test and treat (UTT) in September 2016 in an effort to encourage earlier initiation of antiretroviral therapy (ART).

methodsWe therefore conducted an interrupted time series (ITS) analysis to assess the impact of UTT on mean CD4 count at ART initiation among adults aged ≥16 years attending 17 public sector primary care clinics in rural South Africa, between July 2014 and March 2019.

resultsAmong 20 599 individuals (69% women), CD4 counts were available for 74%. Mean CD4 at ART initiation increased from 317.1 cells/μL (95% confidence interval [CI], 308.6 to 325.6) 1 to 8 months prior to UTT to 421.0 cells/μL (95% CI, 413.0 to 429.0) 1 to 12 months after UTT, including an immediate increase of 124.2 cells/μL (95% CI, 102.2 to 146.1). However, mean CD4 count subsequently fell to 389.5 cells/μL (95% CI, 381.8 to 397.1) 13 to 30 months after UTT but remained above pre-UTT levels. Men initiated ART at lower CD4 counts than women (-118.2 cells/μL, 95% CI, -125.5 to -111.0) throughout the study.

conclusionsAlthough UTT led to an immediate increase in CD4 count at ART initiation in this rural community, the long-term effects were modest. More efforts are needed to increase initiation of ART early in those living with human immunodeficiency virus, particularly men.

Indexed as

Anti-HIV AgentsHIV InfectionsAdultCD4 Lymphocyte CountCD4-Positive T-LymphocytesFemaleHumansInterrupted Time Series AnalysisMaleRural PopulationSouth AfricaAnti-HIV Agentsantiretroviral therapy initiationCD4HIV/AIDSuniversal test and treat (UTT)

Identifiers

PMID34309633
PMCPMC9049265
OpenAlexW3184224637

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.