Evidence map›Paper›PMID 31150489›Full record

ArticlePloS one2019

CD4 count recovery and associated factors among individuals enrolled in the South African antiretroviral therapy programme: An analysis of national laboratory based data.

Tendesayi Kufa, Zara Shubber, William MacLeod, Simbarashe Takuva, Sergio Carmona, Jacob Bor, Marelize Gorgens, Yogan Pillay, Adrian Puren, Jeffrey W Eaton and 1 more

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Long-term HIV and tuberculosis outcomes in patients hospitalised with severe cutaneous adverse reactions.Journal of clinical tuberculosis and other mycobacterial diseases · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Analysis of the Influencing Factors of Immunological Nonresponders in Wuhan, China.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2022
    Article
  17. Article
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.

Tendesayi KufaCentre for HIV and STIs, National Institute of Communicable Diseases, Sandringham, Johannesburg, South Africa.ORCID 0000-0002-9797-616X
Zara ShubberThe World Bank Group, Washington D.C., United States of America.
William MacLeodDepartment of Global Health, Boston University School of Public Health, Boston, United States of America.ORCID 0000-0001-8003-8874
Simbarashe TakuvaPerinatal HIV Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.ORCID 0000-0001-6030-2359
Sergio CarmonaNational Priority Programmes, National Health Laboratory Services, Sandringham, Johannesburg, South Africa.
Jacob BorDepartment of Global Health, Boston University School of Public Health, Boston, United States of America.
Marelize GorgensThe World Bank Group, Washington D.C., United States of America.
Yogan PillayNational Department of Health, Pretoria, South Africa.
Adrian PurenCentre for HIV and STIs, National Institute of Communicable Diseases, Sandringham, Johannesburg, South Africa.
Jeffrey W EatonDepartment of Infectious Diseases Epidemiology, Imperial College, London, United Kingdom.ORCID 0000-0001-7728-728X
Nicole Fraser-HurtThe World Bank Group, Washington D.C., United States of America.ORCID 0000-0003-3065-8666

Funding

Economic, health, and behavioral dimensions of HIV treatment scale-upK01MH105320 · NIMH · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BOR, JACOB · 2015 to 2018
$613k
Medical Research Council MR/R015600/1NIMH NIH HHS K01 MH105320
6 · The paper itself

Abstract

backgroundWe describe CD4 count recovery among HIV positive individuals who initiated antiretroviral therapy (ART) with and without severe immune suppression using complete laboratory data from South Africa's national HIV treatment programme between 2010 and 2014 and discuss implications for CD4 count monitoring.

methodsRetrospective analysis of routinely collected laboratory data from South Africa's National Health Laboratory Service (NHLS). A probabilistic record linkage algorithm was used to create a cohort of HIV positive individuals who initiated ART between 2010 and 2014 based on timing of CD4 count and viral load measurements. A CD4 count < 50 copies/μl at ART initiation was considered severe immunosuppression. A multivariable piecewise mixed-effects linear regression model adjusting for age, gender, year of starting ART, viral suppression in follow up and province was used to predict CD4 counts during follow up.

results1,070,900 individuals had evidence of starting ART during 2010-2014 and met the criteria for inclusion in the cohort -46.6% starting ART with CD4 < 200 cells/μl and 10.1% with CD4 < 50 cells/ μl. For individuals with CD4 counts < 200 cells/μl, predicted CD4 counts > 200 cells/μl, >350 cells/μl and >500 cells/μl corresponded with mean follow up durations of 1.5 years (standard deviation [s.d] 1.1), 1.9years (s.d 1.2) and 2.1 years (s.d 1.3 years). For those with CD4 counts < 50 cells/μl, predicted CD4 count above these threshold corresponded with mean follow up durations of 2.5 years (s.d 0.9 years), 4.4 years (s.d 0.4 years) and 5.0 years (s.d 0.1years) for recovery to the same thresholds. CD4 count recovery varied mostly with duration on ART, CD4 count at the start of ART and gender.

conclusionFor individuals starting with ART with severe immunosuppression, CD4 recovery to 200cells/μl did not occur or took longer than 12 month for significant proportions. CD4 monitoring and interventions recommended for advanced HIV disease should continue until full recovery.

Indexed as

AdultAnti-Retroviral AgentsAntiretroviral Therapy, Highly ActiveCD4 Lymphocyte CountCD4-Positive T-LymphocytesDatabases, FactualFemaleHIVHIV InfectionsHumansImmunosuppression TherapySouth AfricaViral LoadAnti-Retroviral Agents

Identifiers

PMID31150489
PMCPMC6544279

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.