Evidence map›Paper›PMID 23269728›Full record

ArticleJournal of clinical microbiology2013

Development of a clinically comprehensive database and a simple procedure for identification of molds from solid media by matrix-assisted laser desorption ionization-time of flight mass spectrometry.

Anna F Lau, Steven K Drake, Leslie B Calhoun, Christina M Henderson, Adrian M Zelazny

Open access · bronzeAbstract read
In one paragraph

Article in Journal of clinical microbiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers.

0numbers the graph read from it
0cells of the map it votes in
97citing papers in PubMed
10.6field-weighted citation impact, top 1% 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

97 citing papers in PubMed, 234 citations in OpenAlex.

  1. Optimizing MALDI-TOF MS for routine dermatophyte identification, including Trichophyton indotineae.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Article
  2. Review
  3. Evaluation of the VITEKEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Article
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  20. Life (Basel, Switzerland) · 2023
    Article

37 more citing papers are in PubMed but not listed here.

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 at 1 institution in 1 country.

Anna F LauMicrobiology Service, Department of Laboratory Medicine, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA. Anna.Lau@nih.gov
Steven K Drake
Leslie B Calhoun
Christina M Henderson
Adrian M Zelazny
National Institutes of Health Clinical Center · US

Funding

Multicenter Studies to Evaluate the Performance of MALDI-TOF MS for Fungal IdentificationZIACL060091 · CLC · CLINICAL CENTER · PI LAU, ANNA · 2014 to 2020
$0k
Identification of Clinically Important Microbes by Genomic and Proteomic MethodsZIACL080012 · CLC · CLINICAL CENTER · PI ZELAZNY, ADRIAN MARCELO · 2009 to 2025
$0k
6 · The paper itself

Abstract

Matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) is a powerful tool for the rapid and highly accurate identification of clinical pathogens but has not been utilized extensively in clinical mycology due to challenges in developing an effective protein extraction method and the limited databases available. Here, we developed an alternate extraction procedure and constructed a highly stringent database comprising 294 individual isolates representing 76 genera and 152 species. To our knowledge, this is the most comprehensive clinically relevant mold database developed to date. When challenged with 421 blinded clinical isolates from our institution, by use of the BioTyper software, accurate species-level (score of ≥ 2.0) and genus-level (score of ≥ 1.7) identifications were obtained for 370 (88.9%) and 18 (4.3%) isolates, respectively. No isolates were misidentified. Of the 33 isolates (7.8%) for which there was no identification (score of <1.7), 25 were basidiomycetes not associated with clinical disease and 8 were Penicillium species that were not represented in the database. Our library clearly outperformed the manufacturer's database that was obtained with the instrument, which identified only 3 (0.7%) and 26 (6.2%) isolates at species and genus levels, respectively. Identification was not affected by different culture conditions. Implementation into our routine workflow has revolutionized our mycology laboratory efficiency, with improved accuracy and decreased time for mold identification, eliminating reliance on traditional phenotypic features.

Indexed as

Databases as TopicFungiHumansMicrobiological TechniquesMycologyMycosesSpectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization

Identifiers

PMID23269728
PMCPMC3592033
OpenAlexW2129373752

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.