Evidence map›Paper›PMID 39822279›Full record

ArticleSouthern African journal of HIV medicine2024

Retrospective analysis of CD4 count trends in South Africa.

Naseem Cassim, Lindi-Marie Coetzee, Manuel P da Silva, Deborah K Glencross, Wendy S Stevens

Abstract read
In one paragraph

Article in Southern African journal of HIV medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Trial
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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

5 authors.

Naseem CassimWits Diagnostic Innovation Hub, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.ORCID https://orcid.org/0000-0003-4389-2849
Lindi-Marie CoetzeeWits Diagnostic Innovation Hub, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.ORCID https://orcid.org/0000-0002-8981-1744
Manuel P da SilvaWits Diagnostic Innovation Hub, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.ORCID https://orcid.org/0000-0002-9869-5271
Deborah K GlencrossFaculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.ORCID https://orcid.org/0000-0001-7106-769X
Wendy S StevensWits Diagnostic Innovation Hub, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.ORCID https://orcid.org/0000-0002-1684-908X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: South Africa has the largest HIV epidemic globally. Despite the scale-up of antiretroviral therapy, people living with HIV are still presenting with low CD4 counts. Objectives: This study assessed CD4 trends. Method: A retrospective analysis of laboratory data from 2013 to 2023 was conducted. Annual test volumes, the median CD4, and the percentage of specimens with a count ≤ 200 cells/µL and > 500 cells/µL were reported at the national and provincial levels, and by age and gender. The percentage change in both CD4 categories between 2013 and 2023 was assessed, and the CD4 counts per 100 000 population reported. Results: Data are reported for 32 154 644 specimens. The overall median CD4 increased from 396 cells/µL to 473 cells/µL. The percentage of specimens with CD4 counts > 500 cells/µL increased over time but the percentage with CD4 counts ≤ 200 cells/µL remained stable. Men had lower CD4 median and higher percentage of specimens with counts ≤ 200 cells/µL than women. However, the rate of, CD4 ≤ 200 cells/µL decreased from 1411 to 700 per 100 000 population; this decrease occurred in all provinces except the Western Cape. Conclusion: This study found high percentage of specimens with CD4 counts ≤ 200 cells/µL despite an increase in median CD4 count. Men had lower CD4 counts than women.

Indexed as

advanced HIV diseaseCD4data repositoryHIVlaboratory data

Identifiers

PMID39822279
PMCPMC11736544

What OpenQuestion holds

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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.