Evidence map›Paper›PMID 39807897›Full record

ArticleJournal of clinical microbiology2025

Evaluation of two MALDI-TOF MS systems and extraction methods for identification of filamentous fungi recovered from clinical specimens.

Eric M Ransom, Meghan A Wallace, Nathan P Wiederhold, Connie Cañete-Gibas, Carey-Ann D Burnham

Abstract readEvaluation StudyComparative Study
In one paragraph

Article in Journal of clinical microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Evaluation of the VITEKEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Article
  3. Article
  4. Article
  5. 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.

Eric M RansomDepartment of Pathology, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA.ORCID 0000-0003-4870-6750
Meghan A WallaceDepartment of Pathology and Immunology, Washington University in St. Louis School of Medicine, St. Louis, Missouri, USA.
Nathan P WiederholdFungus Testing Laboratory, Department of Pathology and Laboratory Medicine, The University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA.ORCID 0000-0002-2225-5122
Connie Cañete-GibasFungus Testing Laboratory, Department of Pathology and Laboratory Medicine, The University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA.
Carey-Ann D BurnhamDepartment of Pathology and Immunology, Washington University in St. Louis School of Medicine, St. Louis, Missouri, USA.ORCID 0000-0002-1137-840X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid and accurate identification of cultured molds is important to determine clinical significance and therapeutic decision-making. Conventional mold identification uses phenotypic macroscopic and microscopic characterization; however, this can take days or weeks for colony maturity and definitive microscopic structure formation, be limited to genus-level identification, and be misidentified due to morphologic mimics or similarities between closely related species. Matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) revolutionized bacterial and yeast identification but remains uncommon for molds in part because of limited reference libraries. Here, a retrospective 5-year review at a large teaching hospital found that 88.6% of identified molds were in the Bruker Filamentous Fungi Library 3.0 and 91.5% in the VITEK Knowledge Base Library 3.2.0. A prospective evaluation was also performed on early growth from 205 consecutive, working clinical isolates. Each mold was processed using the VITEK chemical extraction method and modified NIH chemical plus bead-beating extraction method; both extractions were tested on both systems. When compared to conventional identification, more molds were identified using VITEK extractions over NIH extractions using the VITEK (65 and 59%) and Bruker (56 and 54%) systems, respectively, using the ≥1.5 log Bruker threshold. VITEK MS identified more molds, regardless of the extraction method. Isolates without consensus agreement ( IMPORTANCE: Mold identification using matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) remains uncommon in clinical laboratories. Contributing concerns include limited genus/species spectra in the MALDI-TOF MS libraries, varying success rates in the literature regarding extraction methods and instrumentation, and the lack of practical performance evaluations using early mold colony growth, which would be used in a clinical mycology laboratory. This study used multiple approaches to improve our understanding of the clinical utility and performance of MALDI-TOF MS mold identification.

Indexed as

FungiMicrobiological TechniquesMycosesSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationHospitals, TeachingHumansProspective StudiesRetrospective StudiesbioMérieuxBioTyperBrukerfungal identificationMALDIMoldMouldmycologyVITEK MS

Identifiers

PMID39807897
PMCPMC11837564

What OpenQuestion holds

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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.