Evidence map›Paper›PMID 32640106›Full record

ArticleJournal of the International AIDS Society2020

Trends in CD4 and viral load testing 2005 to 2018: multi-cohort study of people living with HIV in Southern Africa.

Elizabeth Zaniewski, Cam H Dao Ostinelli, Frédérique Chammartin, Nicola Maxwell, Mary-Ann Davies, Jonathan Euvrard, Janneke van Dijk, Samuel Bosomprah, Sam Phiri, Frank Tanser and 8 more

Open access · goldAbstract read
In one paragraph

Article in Journal of the International AIDS Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
0.7field-weighted citation impact, top 17% 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

32 citing papers in PubMed, 2 syntheses or guidelines pooled it, 50 citations in OpenAlex.

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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

18 authors at 10 institutions in 7 countries.

Elizabeth ZaniewskiInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.ORCID 0000-0003-1986-2359
Cam H Dao OstinelliInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.
Frédérique ChammartinInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.ORCID 0000-0001-8959-2724
Nicola MaxwellCentre for Infectious Disease Epidemiology and Research, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa.
Mary-Ann DaviesCentre for Infectious Disease Epidemiology and Research, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa.ORCID 0000-0001-8496-6475
Jonathan EuvrardCentre for Infectious Disease Epidemiology and Research, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa.
Janneke van DijkSolidarMed, Masvingo, Zimbabwe.
Samuel BosomprahCentre for Infectious Disease Research in Zambia, Lusaka, Zambia.
Sam PhiriLighthouse, Lilongwe, Malawi.
Frank TanserAfrica Health Research Institute, KwaZulu-Natal, South Africa.
Nosisa SipamboChris Hani Baragwanath Academic Hospital, Johannesburg, South Africa.
Josephine MuhairweSolidarMed, Maseru, Lesotho.
Geoffrey FattiKheth'Impilo AIDS Free Living, Cape Town, South Africa.ORCID 0000-0002-6467-662X
Hans ProzeskyDivision of Infectious Diseases, Department of Medicine, Stellenbosch University, Cape Town, South Africa.ORCID 0000-0001-9715-3449
Robin WoodGugulethu ART Programme (Desmond Tutu HIV Centre), Cape Town, South Africa.
Nathan FordCentre for Infectious Disease Epidemiology and Research, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa.ORCID 0000-0003-1482-3967
Matthew P FoxDepartment of Global Health, Boston University, Boston, MA, USA.ORCID 0000-0001-9887-0634
Matthias EggerInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.ORCID 0000-0001-7462-5132
University of Bern · CHUniversity of Cape Town · ZABoston University · USCentre for Infectious Disease Research in Zambia · ZMCentre for the AIDS Programme of Research in South Africa · ZAChris Hani Baragwanath Hospital · ZADesmond Tutu HIV Foundation · ZALighthouse Trust · MWStellenbosch University · ZAWestern Cape Department of Health · ZA

Funding

Observational Antiretroviral Studies In Southern Africa (OASIS) CollaborationU01AI069924 · NIAID · UNIVERSITAT BERN · PI Cleophas Chimbetete, Mary-Ann Davies · 2006 to 2026
$55.9M
Clinical Trial of Antimicrobial Skin to treat Diabetic UlcersR44DK069924 · NIDDK · STRATATECH CORPORATION · PI COMER, ALLEN R., LOKUTA, MARY A. · 2004 to 2013
$7.9M
FIC NIH HHS U01AI069924NCI NIH HHS U01AI069924NHLBI NIH HHS U01AI069924NIAAA NIH HHS U01AI069924NIAID NIH HHS U01 AI069924NICHD NIH HHS U01AI069924NIDA NIH HHS U01AI069924NIDDK NIH HHS U01AI069924NIMH NIH HHS U01AI069924NLM NIH HHS U01AI069924Swiss National Science Foundation 174281World Health Organization 001
6 · The paper itself

Abstract

introductionThe World Health Organization (WHO) recommends a CD4 cell count before starting antiretroviral therapy (ART) to detect advanced HIV disease, and routine viral load (VL) testing following ART initiation to detect treatment failure. Donor support for CD4 testing has declined to prioritize access to VL monitoring. We examined trends in CD4 and VL testing among adults (≥15 years of age) starting ART in Southern Africa.

methodsWe analysed data from 14 HIV treatment programmes in Lesotho, Malawi, Mozambique, South Africa, Zambia and Zimbabwe in 2005 to 2018. We examined the frequency of CD4 and VL testing, the percentage of adults with CD4 or VL tests, and among those having a test, the percentage starting ART with advanced HIV disease (CD4 count <200 cells/mm

resultsAmong 502,456 adults, the percentage with CD4 testing at ART initiation decreased from a high of 78.1% in 2008 to a low of 38.0% in 2017; the probability declined by 14% each year (odds ratio (OR) 0.86; 95% CI 0.86 to 0.86). Frequency of CD4 testing also declined. The percentage starting ART with advanced HIV disease declined from 83.3% in 2005 to 23.5% in 2018; each year the probability declined by 20% (OR 0.80; 95% CI 0.80 to 0.81). VL testing after starting ART varied; 61.0% of adults in South Africa and 10.7% in Malawi were tested, but fewer than 2% were tested in the other four countries. The probability of VL testing after ART start increased only modestly each year (OR 1.06; 95% CI 1.05 to 1.06). The percentage with unsuppressed VL was 8.6%. There was no evidence of a decrease in unsuppressed VL over time (OR 1.00; 95% CI 0.99 to 1.01).

conclusionsCD4 cell counting declined over time, including testing at the start of ART, despite the fact that many patients still initiated ART with advanced HIV disease. Without CD4 testing and expanded VL testing many patients with advanced HIV disease and treatment failure may go undetected, threatening the effectiveness of ART in sub-Saharan Africa.

Indexed as

CD4 Lymphocyte CountViral LoadAdultAfrica, SouthernAnti-HIV AgentsCohort StudiesFemaleHIV InfectionsHumansMaleMiddle AgedSerologic TestsTreatment FailureAnti-HIV AgentsAfricaantiretroviral therapyCD4 lymphocyte countCohort studieshighly activeHIV infectionsSouthernviral load

Identifiers

PMID32640106
PMCPMC7343336
OpenAlexW3042205679

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.