Evidence map›Paper›PMID 38392761›Full record

ArticleJournal of fungi (Basel, Switzerland)2024

Antigenic Relatedness between Mannans from

Amanda R Burnham-Marusich, Kathleen R Zayac, John N Galgiani, Lourdes Lewis, Thomas R Kozel

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of fungi (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Computational Approaches for Discovering Virulence Factors inJournal of fungi (Basel, Switzerland) · 2025
    Review
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 at 3 institutions in 1 country.

Amanda R Burnham-MarusichDxDiscovery, Inc., Reno, NV 89557, USA.
Kathleen R ZayacDepartment of Microbiology and Immunology, University of Nevada, Reno School of Medicine, Reno, NV 89557, USA.
John N GalgianiValley Fever Center for Excellence, College of Medicine-Tucson, University of Arizona, Tucson, AZ 85721, USA.
Lourdes LewisValley Fever Center for Excellence, College of Medicine-Tucson, University of Arizona, Tucson, AZ 85721, USA.
Thomas R KozelDepartment of Microbiology and Immunology, University of Nevada, Reno School of Medicine, Reno, NV 89557, USA.
University of Arizona · USUniversity of Nevada, Reno · USDxDiscovery (United States) · US

Funding

National Glycoscience Resource- CCRC Service and Training - NGlycoR@CCRCR24GM137782 · NIGMS · UNIVERSITY OF GEORGIA · PI Parastoo Azadi · 2020 to 2026
$5.2M
Rapid immunoassay for diagnosis of coccidioidomycosis75N93022C00028 · NIAID · DXDISCOVERY, INC. · PI BURNHAM MARUSCICH, AMANDA · 2022 to 2022
$1.5M
A Diagnostic for Coccidioidomycosis75N93020C00035 · NIAID · DXDISCOVERY, INC. · PI MAINE, DAVID · 2020 to 2020
$299k
NIAID NIH HHS 75N93020C00035NIAID NIH HHS 75N93022C00028NIGMS NIH HHS R24 GM137782NIH HHS 75N93022C00028 and 75N933020C00035
6 · The paper itself

Abstract

Immunoassays for cell wall mannans that are excreted into serum and urine have been used as an aid in the diagnosis of many disseminated fungal infections, including coccidioidomycosis. Antigen-detection immunoassays are critically dependent on the detection of an analyte, such as mannan, by antibodies that are specific to the analyte. The goal of this study was to evaluate the extent of cross-reactivity of polyclonal antibodies raised against

Indexed as

antigen-detection immunoassayantigenic relatednessCoccidioidescoccidioidomycosisCryptococcusdiagnosticsimmunoassaymannan

Identifiers

PMID38392761
PMCPMC10890221
OpenAlexW4391130559

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.