Evidence map›Paper›PMID 27807151›Full record

ReviewJournal of clinical microbiology2017

Identification of Molds by Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry.

Maurizio Sanguinetti, Brunella Posteraro

Abstract readReview
In one paragraph

Review in Journal of clinical microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 1 pooled it
–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

60 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Identification ofJournal of clinical microbiology · 2026
    Article
  3. Article
  4. Non-JHLT open · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Case report: First report ofFrontiers in medicine · 2024
    Article
  13. Invasive fusariosis.Clinical microbiology reviews · 2023
    Review
  14. A comparative study for optimization of MALDI-TOF MS identification of filamentous fungi.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2023
    Article
  15. Article
  16. Review
  17. Diagnosing Onychomycosis: What's New?Journal of fungi (Basel, Switzerland) · 2022
    Review
  18. Article
  19. Old and New Insights intoPathogens (Basel, Switzerland) · 2022
    Review
  20. Article
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

2 authors.

Maurizio SanguinettiInstitute of Microbiology, Università Cattolica del Sacro Cuore, Rome, Italy maurizio.sanguinetti@unicatt.it.
Brunella PosteraroInstitute of Public Health (Section of Hygiene), Università Cattolica del Sacro Cuore, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although to a lesser extent than diagnostic bacteriology, matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) has recently revolutionized the diagnostic mycology workflow. With regard to filamentous fungi (or molds), the precise recognition of pathogenic species is important for rapid diagnosis and appropriate treatment, especially for invasive diseases. This review summarizes the current experience with MALDI-TOF MS-based identification of common and uncommon mold species of Aspergillus, Fusarium, Mucorales, dimorphic fungi, and dermatophytes. This experience clearly shows that MALDI-TOF MS holds promise as a fast and accurate identification tool, particularly with common species or typical strains of filamentous fungi.

Indexed as

FungiHumansMicrobiological TechniquesMycosesSpectrometry, Mass, Matrix-Assisted Laser Desorption-Ionizationfilamentous fungiMALDI-TOF MS

Identifiers

PMID27807151
PMCPMC5277505

What OpenQuestion holds

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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.