Evidence map›Paper›PMID 39748443›Full record

ArticleBMC global and public health2025

Monitoring for advanced disease in the universal test and treat era: trends in CD4 count testing in South Africa.

Cornelius Nattey, Dorina Onoya, Khumbo Shumba, Dickman Gareta, William Macleod, Matthew P Fox, Adrian Puren, Koleka Mlisana, Jacob Bor

Abstract read
In one paragraph

Article in BMC global and public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

9 authors.

Cornelius NatteyHealth Economics and Epidemiology Research Office, Department of Internal Medicine, Faculty of Health Sciences, School of Clinical Medicine, University of the Witwatersrand, Johannesburg, South Africa. phoyocon@gmail.com.
Dorina OnoyaHealth Economics and Epidemiology Research Office, Department of Internal Medicine, Faculty of Health Sciences, School of Clinical Medicine, University of the Witwatersrand, Johannesburg, South Africa.
Khumbo ShumbaHealth Economics and Epidemiology Research Office, Department of Internal Medicine, Faculty of Health Sciences, School of Clinical Medicine, University of the Witwatersrand, Johannesburg, South Africa.
Dickman GaretaData Science Unit, Africa Health Research Institute, Durban, South Africa.
William MacleodHealth Economics and Epidemiology Research Office, Department of Internal Medicine, Faculty of Health Sciences, School of Clinical Medicine, University of the Witwatersrand, Johannesburg, South Africa.
Matthew P FoxHealth Economics and Epidemiology Research Office, Department of Internal Medicine, Faculty of Health Sciences, School of Clinical Medicine, University of the Witwatersrand, Johannesburg, South Africa.
Adrian PurenCentre for HIV & STIs, National Health Laboratory Service, National Institute for Communicable Diseases, Johannesburg, South Africa.
Koleka MlisanaCentre for HIV & STIs, National Health Laboratory Service, National Institute for Communicable Diseases, Johannesburg, South Africa.
Jacob BorHealth Economics and Epidemiology Research Office, Department of Internal Medicine, Faculty of Health Sciences, School of Clinical Medicine, University of the Witwatersrand, Johannesburg, South Africa.

Funding

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
NIAID NIH HHS R01 AI152149
6 · The paper itself

Abstract

backgroundUnder South Africa's Universal Test and Treat (UTT) policy, CD4 counts are no longer required to determine HIV treatment eligibility. However, CD4 count at presentation remains an important marker of disease progression. We assessed whether CD4 testing declined in the UTT era and, if so, by how much.

methodsWe analysed CD4 count data from the National Health Laboratory Service (NHLS) National HIV Cohort and TIER.Net database for individuals in HIV care across five South African provinces. "First CD4 count" was defined as the first CD4 test recorded for each patient. In TIER.Net, "date of presentation" was the earliest date of HIV testing, CD4 measurement, or clinic visit. Trends in first CD4 testing volumes (2004-2018) were analyzed, with interrupted time-series analyses assessing the impact of UTT (September 2016).

resultsData included 5,274,218 (NHLS) and 2,265,557 (TIER.Net) individuals with a first CD4 count. In NHLS, first CD4 counts increased from 47,604 in 2004 to 383,705 in 2010 and then declined. Lower volumes were recorded in TIER.Net. Adjusting for prior trends, first CD4 counts increased slightly after UTT, by 32 individuals/day in NHLS (95% CI: - 6 to 61) and 88 individuals/day in TIER.Net (95% CI: 30 to 148). Among TIER.Net patients, the percentage with a CD4 count decreased by 4.3% (95% CI: - 5.2 to - 3.0%).

conclusionsWe found no major decline in CD4 testing at presentation following UTT, contrasting findings from resource-constrained settings with greater reliance on external donors.

Indexed as

Advanced HIV diseaseCD4 count testingInterrupted time-series analysisTrends in HIV careUniversal Test and Treat (UTT)

Identifiers

PMID39748443
PMCPMC11694356

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LicenceCC BY-NC-ND
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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.