Evidence map›Paper›PMID 31910221›Full record

ArticlePloS one2020

Proportions of CD4 test results indicating advanced HIV disease remain consistently high at primary health care facilities across four high HIV burden countries.

Katherine Lamp, Seth McGovern, Youyi Fong, Charles Diko Atem, Jean Bosco Elat Nfetam, Divine Nzuobontane, Timothy Bollinger, Ilesh Jani, Nadia Sitoe, Charles Kiyaga and 7 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
0.3field-weighted citation impact, top 28% 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

17 citing papers in PubMed, 22 citations in OpenAlex.

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  11. Effect of Coronavirus Disease 2019 Lockdowns on Identification of Advanced Human Immunodeficiency Virus Disease in Outpatient Clinics in Uganda.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
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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

17 authors at 6 institutions in 4 countries.

Katherine LampClinton Health Access Initiative, Boston, MA, United States of America.
Seth McGovernClinton Health Access Initiative, Boston, MA, United States of America.
Youyi FongFred Hutchinson Cancer Research Center, Seattle, WA, United States of America.
Charles Diko AtemClinton Health Access Initiative, Yaoundé, Cameroon.
Jean Bosco Elat NfetamNational AIDS Control Committee, Yaoundé, Cameroon.
Divine NzuobontaneClinton Health Access Initiative, Yaoundé, Cameroon.
Timothy BollingerClinton Health Access Initiative, Maputo, Mozambique.
Ilesh JaniInstituto Nacional de Saúde, Maputo, Mozambique.
Nadia SitoeInstituto Nacional de Saúde, Maputo, Mozambique.
Charles KiyagaCentral Public Health Laboratory, Kampala, Uganda.
George SenyamaClinton Health Access Initiative, Kampala, Uganda.
Phibeon M MangwendezaClinton Health Access Initiative, Harare, Zimbabwe.
Sekesai Mtapuri-ZinyoweraMinistry of Health and Child Care, Harare, Zimbabwe.
Naoko DoiClinton Health Access Initiative, Boston, MA, United States of America.
Trevor PeterClinton Health Access Initiative, Boston, MA, United States of America.
Jilian A SacksClinton Health Access Initiative, Boston, MA, United States of America.
Lara VojnovClinton Health Access Initiative, Boston, MA, United States of America.ORCID 0000-0003-0488-1012
Clinton Health Access Initiative · USInstituto Nacional de Saúde · MZCentre for Sexual Health and HIV AIDS Research · ZWFred Hutch Cancer Center · USMinistry of Health and Child Welfare · ZWNational Radiation Protection Agency of Cameroon · CM

Funding

Statistical methods for HIV-1 immune correlates studiesR01AI122991 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI FONG, YOUYI · 2016 to 2020
$1.6M
NIAID NIH HHS R01 AI122991
6 · The paper itself

Abstract

backgroundGlobally, nearly 22 million HIV-infected patients are currently accessing antiretroviral treatment; however, almost one million people living with HIV died of AIDS-related illnesses in 2018. Advanced HIV disease remains a significant issue to curb HIV-related mortality.

methodsWe analyzed 864,389 CD4 testing records collected by 1,016 Alere Pima Analyzers implemented at a variety of facilities, including peripheral facilities, between January 2012 and December 2016 across four countries in sub-Saharan Africa. Routinely collected data and programmatic records were used to analyze the median CD4 counts and proportions of patients with advanced HIV disease by country, facility type, and year.

resultsMedian CD4 counts were between 409-444 cells/ul each year since 2012 with a median in 2016 of 444 cells/ul (n = 319,829). The proportion of test results returning CD4 counts above 500 cells/ul has increased slowly each year with 41.8% (95% CI: 41.6-41.9%) of tests having a CD4 count above 500 cells/ul in 2016. Median CD4 counts were similar across facility types. The proportion of test results indicating advanced HIV disease has remained fairly consistent: 19.4% (95% CI: 18.8-20.1%) in 2012 compared to 16.1% (95% CI: 16.0-16.3%) in 2016. The proportion of test results indicating advanced HIV disease annually ranged from 14.5% in Uganda to 29.8% in Cameroon. 6.9% (95% CI: 6.8-7.0%) of test results showed very advanced HIV disease (CD4<100 cells/ul) in 2016.

conclusionsThe proportion of CD4 test results indicating advanced disease was relatively high and consistent across four high HIV burden countries.

Indexed as

Ambulatory Care FacilitiesPrimary Health CareAfrica South of the SaharaCameroonCD4 Lymphocyte CountData CollectionHIV InfectionsHumansPoint-of-Care SystemsUganda

Identifiers

PMID31910221
PMCPMC6946176
OpenAlexW3000500717

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.