Evidence map›Paper›PMID 23658267›Full record

ArticleJournal of clinical microbiology2013

Multicenter study evaluating the Vitek MS system for identification of medically important yeasts.

Lars F Westblade, Rebecca Jennemann, John A Branda, Maureen Bythrow, Mary Jane Ferraro, Omai B Garner, Christine C Ginocchio, Michael A Lewinski, Ryhana Manji, A Brian Mochon and 5 more

Open access · bronzeAbstract readComparative StudyEvaluation StudyMulticenter Study
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 38 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 2 pooled it
10.2field-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

38 citing papers in PubMed, 2 syntheses or guidelines pooled it, 101 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. 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] · 2022
    Review
  6. Multicenter evaluation of the VITEK MS matrix-assisted laser desorption/ionization-time of flight mass spectrometry system for identification of bacteria, including Brucella, and yeasts.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2021
    Article
  7. Article
  8. Review
  9. InvasivePathogens (Basel, Switzerland) · 2020
    Review
  10. Review
  11. Article
  12. VitekMycopathologia · 2019
    Article
  13. Review
  14. Antifungal Susceptibility and Clinical Outcome in Neonatal Candidiasis.The Pediatric infectious disease journal · 2018
    Article
  15. Article
  16. Article
  17. Matrix-assisted laser desorption ionization time of flight mass spectrometry (MALDI-TOF MS) for rapid identification of micro-organisms in the routine clinical microbiology laboratory.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2017
    Article
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 7 institutions in 1 country.

Lars F WestbladeDepartment of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri, USA.
Rebecca Jennemann
John A Branda
Maureen Bythrow
Mary Jane Ferraro
Omai B Garner
Christine C Ginocchio
Michael A Lewinski
Ryhana Manji
A Brian Mochon
Gary W Procop
Sandra S Richter
Jenna A Rychert
Linda Sercia
Carey-Ann D Burnham
Cleveland Clinic · USNorthwell Health · USUniversity of California, Los Angeles · USHarvard University · USWashington University in St. Louis · USBarnes-Jewish Hospital · USMassachusetts General Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The optimal management of fungal infections is correlated with timely organism identification. Matrix-assisted laser desorption ionization-time of flight (MALDI-TOF) mass spectrometry (MS) is revolutionizing the identification of yeasts isolated from clinical specimens. We present a multicenter study assessing the performance of the Vitek MS system (bioMérieux) in identifying medically important yeasts. A collection of 852 isolates was tested, including 20 Candida species (626 isolates, including 58 C. albicans, 62 C. glabrata, and 53 C. krusei isolates), 35 Cryptococcus neoformans isolates, and 191 other clinically relevant yeast isolates; in total, 31 different species were evaluated. Isolates were directly applied to a target plate, followed by a formic acid overlay. Mass spectra were acquired using the Vitek MS system and were analyzed using the Vitek MS v2.0 database. The gold standard for identification was sequence analysis of the D2 region of the 26S rRNA gene. In total, 823 isolates (96.6%) were identified to the genus level and 819 isolates (96.1%) were identified to the species level. Twenty-four isolates (2.8%) were not identified, and five isolates (0.6%) were misidentified. Misidentified isolates included one isolate of C. albicans (n = 58) identified as Candida dubliniensis, one isolate of Candida parapsilosis (n = 73) identified as Candida pelliculosa, and three isolates of Geotrichum klebahnii (n = 6) identified as Geotrichum candidum. The identification of clinically relevant yeasts using MS is superior to the phenotypic identification systems currently employed in clinical microbiology laboratories.

Indexed as

Clinical Laboratory TechniquesDiagnostic ErrorsHumansMycologyMycosesSensitivity and SpecificitySpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationYeasts

Identifiers

PMID23658267
PMCPMC3697678
OpenAlexW2104947395

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.