Evidence map›Paper›PMID 39282635›Full record

ReviewOpen forum infectious diseases2024

Evolution of Laboratory Diagnostics for Cryptococcosis and Missing Links to Optimize Diagnosis and Outcomes in Resource-Constrained Settings.

Richard Kwizera, Tadeo K Kiiza, Andrew Akampurira, Sarah Kimuda, Timothy Mugabi, David B Meya

Abstract readReview
In one paragraph

Review in Open forum infectious diseases, 2024. 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.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
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

6 authors.

Richard KwizeraInfectious Diseases Institute, College of Health Sciences, Makerere University, Kampala, Uganda.ORCID https://orcid.org/0000-0002-5270-3539
Tadeo K KiizaInfectious Diseases Institute, College of Health Sciences, Makerere University, Kampala, Uganda.
Andrew AkampuriraInfectious Diseases Institute, College of Health Sciences, Makerere University, Kampala, Uganda.
Sarah KimudaInfectious Diseases Institute, College of Health Sciences, Makerere University, Kampala, Uganda.
Timothy MugabiInfectious Diseases Institute, College of Health Sciences, Makerere University, Kampala, Uganda.
David B MeyaInfectious Diseases Institute, College of Health Sciences, Makerere University, Kampala, Uganda.

Funding

Improving Diagnostics and Neurocognitive Outcomes in HIV/AIDS-related MeningitisR01NS086312 · NINDS · UNIVERSITY OF MINNESOTA · PI David R Boulware, David Bisagaya Meya · 2013 to 2026
$8.3M
NINDS NIH HHS R01 NS086312
6 · The paper itself

Abstract

Cryptococcal meningitis is one of the leading causes of death in sub-Saharan Africa among patients with advanced HIV disease. Early diagnosis is crucial in improving treatment outcomes. Despite advances and the availability of modern and point-of-care diagnostics for cryptococcosis, gaps still exist in resource-constrained settings, leading to unfavorable treatment outcomes. Here, we review the current outstanding issues or missing links that need to be filled to optimize the diagnosis of cryptococcosis in resource-constrained settings to improve treatment outcomes. We highlight the evolution of cryptococcosis diagnostics; the roles of early fungicidal activity, cryptococcal antigen titers, antifungal susceptibility testing, and therapeutic drug monitoring; and the missing links to optimize diagnosis and outcomes, including practical recommendations.

Indexed as

cryptococcal meningitiscryptococcosisfungal diagnosticslaboratory diagnosticsresource-constrained setting

Identifiers

PMID39282635
PMCPMC11398909

What OpenQuestion holds

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LicenceCC BY
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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.