Evidence map›Paper›PMID 34499312›Full record

ArticleFolia microbiologica2022

Identification of filamentous fungi including dermatophytes using MALDI-TOF mass spectrometry.

Petr Hamal, Anna Vavrova, Jakub Mrazek, Lucie Svobodova

Abstract read
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In one paragraph

Article in Folia microbiologica, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
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  4. Detection accuracy and clinical applications of DP-TOF mass spectrometry.The Journal of international medical research · 2024
    Article
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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

4 authors at 3 institutions in 1 country.

Petr HamalDepartment of Microbiology, University Hospital, Olomouc, Czech Republic. petr.hamal@fnol.cz.ORCID http://orcid.org/0000-0002-5361-8125
Anna VavrovaDepartment of Microbiology, Faculty of Medicine and Dentistry, Palacky University, Olomouc, Czech Republic.
Jakub MrazekDepartment of Bacteriology and Mycology, Institute of Public Health, Ostrava, Czech Republic.
Lucie SvobodovaDepartment of Microbiology, University Hospital, Olomouc, Czech Republic.
University Hospital Olomouc · CZPalacký University Olomouc · CZPublic Health Institute Ostrava · CZ

Funding

Ministerstvo Zdravotnictví Ceské Republiky NV 17-31269A
6 · The paper itself

Abstract

Identification of filamentous fungi based on morphological features is the most available approach used in clinical mycology laboratories. However, MALDI-TOF mass spectrometry is currently invaluable for identification of microorganisms because of its rapidity, simplicity, and accuracy. This study aimed to find the optimal way of identifying filamentous fungi using MALDI-TOF MS.The sample comprised 193 isolates of filamentous fungi. The identification started with morphological assessment. Then isolates were identified using MALDI-TOF MS, both directly from culture and following culture in liquid media with extraction. Subsequently, identification of 20 selected isolates was compared by sequencing of the benA gene, ITS1-5,8-ITS2, and D1-D2 LSU regions.Based on morphological criteria, 17 genera of fungi were identified. With MALDI-TOF MS performed directly from culture, nine isolates were identified to the genus level and 184 to the species level, with a total of 75 species being noted. With the MALDI-TOF MS extraction method, 190 isolates were identified to the species level, with 43 species being noted. The rates of agreement between identification using morphology and the MALDI-TOF MS direct method were 58.55% at the genus level and 22.24% at the species level. The rates of agreement between identification using morphology and the MALDI-TOF MS extraction method were 84.97% at the genus level and 46.11% at the species level. Using sequencing, 87.5% agreement was found for identification with the MALDI-TOF MS extraction method, as compared with only 43.75% for the direct method.The results suggest that the optimal approach to identification of filamentous fungi is a combination of morphological features and MALDI-TOF MS using the extraction method.

Indexed as

ArthrodermataceaeCulture MediaDiagnostic Tests, RoutineFungiSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationCulture Media

Identifiers

PMID34499312
OpenAlexW3198785470

What OpenQuestion holds

Textmetadata
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.