ArticleJournal of clinical microbiology2016
Performance of Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry for Identification of Aspergillus, Scedosporium, and Fusarium spp. in the Australian Clinical Setting.
Article in Journal of clinical microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
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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.
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.
Who cites it
20 citing papers in PubMed.
- Identification of Challenging Dermatophyte Species Using Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry.Journal of fungi (Basel, Switzerland) · 2025Article
- Scedosporiosis and lomentosporiosis: modern perspectives on these difficult-to-treat rare mold infections.Clinical microbiology reviews · 2024Review
- Mass spectrometry in research laboratories and clinical diagnostic: a new era in medical mycology.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2022Review
- Performance of Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry for Identification ofFrontiers in microbiology · 2022Article
- Comparison of molecular and MALDI-TOF MS identification and antifungal susceptibility of clinicalFrontiers in microbiology · 2022Article
- Matrix-Assisted Laser Desorption Ionization Time-of-Flight for Fungal Identification.Clinics in laboratory medicine · 2021Review
- Article
- Rapid identification of fungi from respiratory samples by Bruker Biotyper matrix-assisted laser desorption/ionisation time-of-flight using ID-FUNGI plates.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2021Article
- Review
- Update on Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry Identification of Filamentous Fungi.Journal of clinical microbiology · 2020Review
- First Comprehensive Report of ClinicalMicroorganisms · 2019Article
- Identification of Mucorales by Matrix-Assisted Laser Desorption Ionization Time-of-Flight Mass Spectrometry.Journal of fungi (Basel, Switzerland) · 2019Article
- A Moldy Application of MALDI: MALDI-ToF Mass Spectrometry for Fungal Identification.Journal of fungi (Basel, Switzerland) · 2019Review
- Multicenter Study Demonstrates Standardization Requirements for Mold Identification by MALDI-TOF MS.Frontiers in microbiology · 2019Article
- Rapid one-step extraction method for the identification of molds using MALDI-TOF MS.Diagnostic microbiology and infectious disease · 2018Article
- Species Identification and Delineation of Pathogenic Mucorales by Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry.Journal of clinical microbiology · 2018Article
- Challenges in Laboratory Detection of Fungal Pathogens in the Airways of Cystic Fibrosis Patients.Mycopathologia · 2018Article
- Taxonomy and evolution ofComputational and structural biotechnology journal · 2018Review
- Online Databases for Taxonomy and Identification of Pathogenic Fungi and Proposal for a Cloud-Based Dynamic Data Network Platform.Journal of clinical microbiology · 2017Review
- Identification of Molds by Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry.Journal of clinical microbiology · 2017Review
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
We developed an Australian database for the identification of Aspergillus, Scedosporium, and Fusarium species (n = 28) by matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS). In a challenge against 117 isolates, species identification significantly improved when the in-house-built database was combined with the Bruker Filamentous Fungi Library compared with that for the Bruker library alone (Aspergillus, 93% versus 69%; Fusarium, 84% versus 42%; and Scedosporium, 94% versus 18%, respectively).
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Registered trials
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