Evidence map›Paper›PMID 42112436›Full record

ArticleFrontiers in microbiology2026

Fast-tracking fungal detection: a rapid flow cytometric method for the detection of yeasts in blood cultures.

Malgorzata K Kopczyk, Kieran Mulroney, Graham Weaire-Buchanan, Teagan Paton, Emily Salisbury, Wai Shaun Ho, Dianne J Gardam, Ammie Higgins, Christine F Carson, Tim J J Inglis and 1 more

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Malgorzata K KopczykSchool of Medicine, University of Western Australia, Perth, WA, Australia.
Kieran MulroneySchool of Medicine, University of Western Australia, Perth, WA, Australia.
Graham Weaire-BuchananPathWest Laboratory Medicine WA, Fiona Stanley Hospital, Perth, WA, Australia.
Teagan PatonSchool of Medicine, University of Western Australia, Perth, WA, Australia.
Emily SalisburySchool of Medicine, University of Western Australia, Perth, WA, Australia.
Wai Shaun HoSchool of Medicine, University of Western Australia, Perth, WA, Australia.
Dianne J GardamPathWest Laboratory Medicine WA, Fiona Stanley Hospital, Perth, WA, Australia.
Ammie HigginsPathWest Laboratory Medicine WA, QEII Medical Centre, Perth, WA, Australia.
Christine F CarsonSchool of Medicine, University of Western Australia, Perth, WA, Australia.
Tim J J InglisSchool of Pathology and Laboratory Medicine, University of Western Australia, Perth, WA, Australia.
Aron ChakeraSchool of Medicine, University of Western Australia, Perth, WA, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Invasive fungal diseases (IFDs), such as candidemia are increasing in prevalence globally and impose greater risk of life-threatening infection for immunocompromised and hospitalized patients if not treated with appropriate antifungals. The "gold-standard" method for candidemia detection is culture based with low sensitivity, often taking days to obtain results. We have developed a novel flow-cytometric method that detects yeast cells in blood cultures using two fluorescent markers, providing results in just over 1 h. In our study, we investigated the performance of the markers in clinical isolates across 6 different yeast species in spiked blood cultures. Using flow-cytometry and confocal microscopy we investigated the staining specificity of the markers to non-yeast cells (i.e., human cells and bacteria) and validated our gating strategy using imaging cytometry. Our limit of detection using conventional flow cytometry was 2.871 × 10

Indexed as

blood culturecandidemiadetectionflow-cytometryyeast

Identifiers

PMID42112436
PMCPMC13149291

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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.