Evidence map›Paper›PMID 29142047›Full record

ArticleJournal of clinical microbiology2018

Multicenter Evaluation of the Vitek MS v3.0 System for the Identification of Filamentous Fungi.

Jenna Rychert, E Sue Slechta, Adam P Barker, Edwin Miranda, N Esther Babady, Yi-Wei Tang, Connie Gibas, Nathan Wiederhold, DeAnna Sutton, Kimberly E Hanson

Abstract readComparative StudyEvaluation StudyMulticenter Study
In one paragraph

Article in Journal of clinical microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
–field-weighted citation impact
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

41 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Closing the Gap in Proteomic Identification ofJournal of fungi (Basel, Switzerland) · 2023
    Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. The Brief Case:Journal of clinical microbiology · 2022
    Review
  14. 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
  15. Article
  16. Article
  17. 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
  18. First Report of a Case of Ocular Infection Caused byPathogens (Basel, Switzerland) · 2021
    Article
  19. Article
  20. Review
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

10 authors.

Jenna RychertARUP Laboratories, Salt Lake City, Utah, USA Jennifer.Rychert@aruplab.com.
E Sue SlechtaARUP Laboratories, Salt Lake City, Utah, USA.
Adam P BarkerUniversity of Utah, Salt Lake City, Utah, USA.
Edwin MirandaMemorial Sloan Kettering Cancer Center, New York, New York, USA.
N Esther BabadyMemorial Sloan Kettering Cancer Center, New York, New York, USA.ORCID 0000-0003-4399-1249
Yi-Wei TangMemorial Sloan Kettering Cancer Center, New York, New York, USA.ORCID 0000-0003-4888-6771
Connie GibasUniversity of Texas Health Science Center, San Antonio, Texas, USA.
Nathan WiederholdUniversity of Texas Health Science Center, San Antonio, Texas, USA.
DeAnna SuttonUniversity of Texas Health Science Center, San Antonio, Texas, USA.
Kimberly E HansonUniversity of Utah, Salt Lake City, Utah, USA.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

Invasive fungal infections are an important cause of morbidity and mortality affecting primarily immunocompromised patients. While fungal identification to the species level is critical to providing appropriate therapy, it can be slow and laborious and often relies on subjective morphological criteria. The use of matrix-assisted laser desorption ionization-time of flight (MALDI-TOF) mass spectrometry has the potential to speed up and improve the accuracy of identification. In this multicenter study, we evaluated the accuracy of the Vitek MS v3.0 system in identifying 1,601 clinical mold isolates compared to identification by DNA sequence analysis and supported by morphological and phenotypic testing. Among the 1,519 isolates representing organisms in the v3.0 database, 91% (

Indexed as

Databases, FactualDiagnostic ErrorsDiagnostic Tests, RoutineFungiHumansInvasive Fungal InfectionsMicrobiological TechniquesSequence Analysis, DNASpectrometry, Mass, Matrix-Assisted Laser Desorption-Ionizationfilamentous fungifungiMALDI-TOFmass spectrometrymoldVitek MS

Identifiers

PMID29142047
PMCPMC5786734

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.