Evidence map›Paper›PMID 22417404›Full record

ArticleJournal of the International AIDS Society2012

Prevalence and factors associated with cryptococcal antigenemia among severely immunosuppressed HIV-infected adults in Uganda: a cross-sectional study.

Jacinta Oyella, David Meya, Francis Bajunirwe, Moses R Kamya

Open access · goldAbstract read
In one paragraph

Article in Journal of the International AIDS Society, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 4 pooled it
3.3field-weighted citation impact, top 8% 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

28 citing papers in PubMed, 4 syntheses or guidelines pooled it, 52 citations in OpenAlex.

  1. Pooled it
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  3. Magnitude ofAfrican health sciences · 2020
    Pooled it
  4. CD4 Cell Count Threshold for Cryptococcal Antigen Screening of HIV-Infected Individuals: A Systematic Review and Meta-analysis.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2018
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  11. Invasive Fungal Diseases in Africa: A Critical Literature Review.Journal of fungi (Basel, Switzerland) · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 2 countries.

Jacinta OyellaMakerere University College of Health Sciences New Mulago Hospital Complex, Mulago Hill Road, P.O BOX 7072, Kampala, Uganda.
David Meya *Makerere University College of Health Sciences New Mulago Hospital Complex, Mulago Hill Road, P.O BOX 7072, Kampala, Uganda.
Francis Bajunirwe *Mbarara University of Science and Technology, Mbarara, Uganda.
Moses R Kamya *Makerere University College of Health Sciences New Mulago Hospital Complex, Mulago Hill Road, P.O BOX 7072, Kampala, Uganda.
Mulago Hospital · UGInfectious Diseases Institute · UGMbarara University of Science and Technology · UG

Funding

FIC NIH HHS TW00011
6 · The paper itself

Abstract

backgroundCryptococcal infection is a common opportunistic infection among severely immunosuppressed HIV patients and is associated with high mortality. Positive cryptococcal antigenemia is an independent predictor of cryptococcal meningitis and death in patients with severe immunosuppression. We evaluated the prevalence and factors associated with cryptococcal antigenemia among patients with CD4 counts of 100 cells/mm(3) or less in Mulago Hospital, Kampala, Uganda. Screening of a targeted group of HIV patients may enable early detection of cryptococcal infection and intervention before initiating antiretroviral therapy. Factors associated with cryptococcal antigenemia may be used subsequently in resource-limited settings in screening for cryptococcal infection, and this data may also inform policy for HIV care.

methodsIn this cross-sectional study, HIV-infected patients aged 18 years and older with CD4 counts of up to 100 cells/mm(3) were enrolled between December 2009 and March 2010. Data on socio-demographics, physical examinations and laboratory tests were collected. Factors associated with cryptococcal antigenemia were analyzed using multiple logistic regression.

resultsWe enrolled 367 participants and the median CD4 count was 23 (IQR 9-51) cells/mm(3). Sixty-nine (19%) of the 367 participants had cryptococcal antigenemia. Twenty-four patients (6.5%) had cryptococcal meningitis on cerebrospinal fluid analysis and three had isolated cryptococcal antigenemia. Factors associated with cryptococcal antigenemia included: low body mass index of 15.4 kg/m2 or less (adjusted odds ratio, AOR = 0.5; 95% CI 0.3-1.0), a CD4(+) T cell count of less than 50 cells/mm(3) (AOR = 2.7; 95% CI1.2-6.1), neck pain (AOR = 2.3; 95% CI 1.2-4.6), recent diagnosis of HIV infection (AOR = 1.9; 95% CI 1.1-3.6), and meningeal signs (AOR = 7.9; 95% CI 2.9-22.1). However, at sub-analysis of asymptomatic patients, absence of neck pain (AOR = 0.5), photophobia (AOR = 0.5) and meningeal signs (AOR = 0.1) were protective against cryptococcal infection.

conclusionsCryptococcal antigenemia is common among severely immunosuppressed HIV patients in Mulago Hospital, Kampala, Uganda. Independent predictors of positive serum cryptococcal antigenemia were CD4(+) T cell counts of less than 50 cells/mm, low body mass index, neck pain, signs of meningeal irritation, and a recent diagnosis of HIV infection. Routine screening of this category of patients may detect cryptococcosis, and hence provide an opportunity for early intervention. Absence of neck pain, photophobia and meningeal signs were protective against cryptococcal infection compared with symptomatic patients.

Indexed as

AdultAIDS-Related Opportunistic InfectionsCD4 Lymphocyte CountCross-Sectional StudiesCryptococcusFemaleHumansImmunocompromised HostMaleMeningitis, CryptococcalPrevalenceSocioeconomic FactorsUganda

Identifiers

PMID22417404
PMCPMC3334679
OpenAlexW2164448442

What OpenQuestion holds

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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.