Evidence map›Paper›PMID 38986025›Full record

ArticleThe Journal of infectious diseases2024

Antigen Titers in Cryptococcal Meningitis: What Determines How Fast They Fall?

John E Bennett, Peter R Williamson

Abstract read
In one paragraph

Article in The Journal of 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. Article
  4. Article
  5. Peripheral blood CD4The Journal of infection · 2025
    Article
  6. Host-membrane lipid composition controlsFrontiers in immunology · 2025
    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

2 authors.

John E BennettLaboratory of Clinical Immunology and Microbiology, National Institute of Allergy and Infectious Diseases, Bethesda, Maryland.ORCID 0009-0008-1257-098X
Peter R WilliamsonLaboratory of Clinical Immunology and Microbiology, National Institute of Allergy and Infectious Diseases, Bethesda, Maryland.

Funding

Molecular Pathobiology of Cryptococcus neoformansZIAAI001123 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI WILLIAMSON, PETER · 2010 to 2025
$10.4M
Translational Research: Host-Pathogen Interactions in Patient Fungal DiseasesZIAAI001124 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI WILLIAMSON, PETER · 2010 to 2025
$8.8M
National Institute of Allergy and Infectious DiseasesNIH HHS
6 · The paper itself

Abstract

Follow-up of previously healthy patients surviving cryptococcal meningitis found that cryptococcal antigen could be detected for >1 year in serum from 38 of 44 (86%) patients and in cerebrospinal fluid (CSF) from 20 of 31 patients (67%), far beyond the time of culture conversion. The speed of titer decline, measured as the number of days for a 2-fold drop in titer to occur, was slower in serum than in CSF. The speed of decline of antigen titers was much slower in serum and CSF for patients infected with Cryptococcus gattii than Cryptococcus neoformans. The speed of decline in CSF and serum titers was also much slower in patients who had received a ventriculoperitoneal shunt for increased intracranial pressure. The variable and extraordinarily slow rate of clearance in our patients did not appear to reflect differences in disease control but rather differences in species and shunting for increased intracranial pressure.

Indexed as

Antigens, FungalCryptococcus gattiiCryptococcus neoformansMeningitis, CryptococcalAdultFemaleHumansMaleMiddle AgedTime FactorsAntigens, Fungalantigencerebrospinal fluidcryptococcosispolysaccharideventriculoperitoneal shunt

Identifiers

PMID38986025
PMCPMC11566034

What OpenQuestion holds

Textmetadata
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.