Evidence map›Paper›PMID 41982454›Full record

ArticleFrontiers in cellular and infection microbiology2026

Six-month surveillance of

Stephan Steixner, Roya Vahedi-Shahandashti, David Eisele, Werner Ruppitsch, Cornelia Lass-Flörl

Abstract read
In one paragraph

Article in Frontiers in cellular and infection 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
–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

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

5 authors.

Stephan Steixner *European Excellence Centre of Medical Mycology (ECMM), Institute of Hygiene and Medical Microbiology, Medical University of Innsbruck, Innsbruck, Austria.
Roya Vahedi-Shahandashti *European Excellence Centre of Medical Mycology (ECMM), Institute of Hygiene and Medical Microbiology, Medical University of Innsbruck, Innsbruck, Austria.
David EiseleEuropean Excellence Centre of Medical Mycology (ECMM), Institute of Hygiene and Medical Microbiology, Medical University of Innsbruck, Innsbruck, Austria.
Werner RuppitschEuropean Excellence Centre of Medical Mycology (ECMM), Institute of Hygiene and Medical Microbiology, Medical University of Innsbruck, Innsbruck, Austria.
Cornelia Lass-FlörlEuropean Excellence Centre of Medical Mycology (ECMM), Institute of Hygiene and Medical Microbiology, Medical University of Innsbruck, Innsbruck, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Methods: Susceptibility to fluconazole and anidulafungin was assessed by CLSI broth microdilution (BMD) and gradient diffusion (Etest) methods. Clonal relatedness was evaluated by whole-genome sequencing (WGS) with SNP-based phylogeny and multilocus sequence typing (MLST); azole-associated genes were analyzed in fluconazole non-susceptible isolates. Results: WGS demonstrated a genetically diverse population comprising six clusters, arguing against a single clonal outbreak. The most concerning cluster contained closely related ST11 isolates linked to previously described epidemic ST11 lineages and included both fluconazole-susceptible and non-susceptible isolates; non-susceptibility occurred in only one patient. Non-susceptible isolates carried multiple predominantly heterozygous non-synonymous variants across azole-associated pathways, consistent with an early, genetically heterogeneous stage of resistance development. Marked method-dependent discrepancies were observed for anidulafungin (all susceptible by CLSI BMD, but a substantial fraction non-susceptible by gradient diffusion method), while fluconazole showed higher concordance with minor misclassification. Discussion: Combining WGS with standardized susceptibility testing differentiated increased prevalence from clonal transmission, identified a high-risk ST11 lineage with a complex, likely polygenic resistance architecture, and highlighted limitations of gradient diffusion testing for echinocandin categorization. These findings support molecular surveillance and cautious interpretation of gradient diffusion susceptibility testing results to guide infection control and antifungal stewardship.

Indexed as

Antifungal AgentsCandida parapsilosisCandidiasisDrug Resistance, FungalFluconazoleAnidulafunginAustriaGenotypeHumansMicrobial Sensitivity TestsMultilocus Sequence TypingPhylogenyPolymorphism, Single NucleotideWhole Genome SequencingAnidulafunginAntifungal AgentsFluconazoleantifungal susceptibility testingCandida parapsilosisfluconazole resistanceoutbreak investigationwhole-genome sequencing

Identifiers

PMID41982454
PMCPMC13070928

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Registered trials

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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.