Evidence map›Paper›PMID 36286489›Full record

ArticleJournal of clinical microbiology2022

Performance Evaluation of Bruker Biotyper, ASTA MicroIDSys, and VITEK-MS and Three Extraction Methods for Filamentous Fungal Identification in Clinical Laboratories.

Yoojeong Choi, Daewon Kim, Kye Won Choe, Hyukmin Lee, Jae-Seok Kim, Jeong-Yeal Ahn, Mi-Kyung Lee

Open access · greenAbstract read
In one paragraph

Article in Journal of clinical microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. Identification ofJournal of clinical microbiology · 2026
    Article
  2. Optimizing filamentous fungi identification by MALDI-TOF MS: A comparative analysis of key factors.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Article
  3. Automated identification ofJournal of clinical microbiology · 2025
    Article
  4. 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

7 authors at 4 institutions in 1 country.

Yoojeong Choi *Department of Laboratory Medicine, Chung-Ang Universitygrid.254224.7 College of Medicine, Seoul, Republic of Korea.
Daewon Kim *Department of Laboratory Medicine, Gachon University Gil Medical Centergrid.411653.4, Incheon, Republic of Korea.
Kye Won ChoeDepartment of Laboratory Medicine, Chung-Ang Universitygrid.254224.7 College of Medicine, Seoul, Republic of Korea.
Hyukmin LeeDepartment of Laboratory Medicine and Research Institute of Bacterial Resistance, Yonsei University College of Medicine, Seoul, Republic of Korea.
Jae-Seok KimDepartment of Laboratory Medicine, Kangdong Sacred Heart Hospital, Hallym University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0001-6025-0341
Jeong-Yeal AhnDepartment of Laboratory Medicine, Gachon University Gil Medical Centergrid.411653.4, Incheon, Republic of Korea.
Mi-Kyung LeeDepartment of Laboratory Medicine, Chung-Ang Universitygrid.254224.7 College of Medicine, Seoul, Republic of Korea.ORCID 0000-0003-1824-476X
Chung-Ang University · KRGachon University Gil Medical Center · KRHallym University · KRYonsei University · KR

Funding

MOHW | National Institute of Health, Korea Diseases Control and Prevention Agency 2021E250200National Research Foundation of Korea (NRF) 2020R1A5A1018052
6 · The paper itself

Abstract

Filamentous fungi are a major cause of life-threatening infections in immunocompromised patients; thus, rapid and accurate identification is critical. Filamentous fungal identification by matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) has been demonstrated with high sensitivity and reproducibility; however, its wider application has been limited in clinical laboratories because of practical challenges such as database availability or lack of standardization. In this study, we compared the performance of the Bruker Biotyper, ASTA MicroIDSys, and Vitek MS for 84 clinical filamentous fungal isolates. Moreover, the sensitivity of three independent sample preparation methods (direct, on plate, in tube) was compared. Bruker Biotyper identified 71.43% (60/84) of isolates correctly (species, genus, or complex/group level). ASTA MicroIDSys and Vitek MS showed accuracy rates of 70.24% (59/84) and 55.95% (47/84), respectively. We found that any difference in sensitivity may be attributed to the database of the systems. In addition, the "in tube" method showed the highest sensitivity among the three methods; however, there was no statistical difference among them. For the broader application of MALDI-TOF MS for filamentous fungal identification, further studies from multiple perspectives are required.

Indexed as

Clinical Laboratory ServicesLaboratories, ClinicalFungiHumansReproducibility of ResultsSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationASTA MicroIDSysBruker Biotyperfilamentous fungusfungal identificationMALDI-TOF MSVitek MS

Identifiers

PMID36286489
PMCPMC9667760
OpenAlexW4307339545

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.