Evidence map›Paper›PMID 22573595›Full record

ArticleJournal of clinical microbiology2012

Matrix-assisted laser desorption ionization-time of flight mass spectrometry-based method for discrimination between molecular types of Cryptococcus neoformans and Cryptococcus gattii.

Brunella Posteraro, Antonietta Vella, Massimo Cogliati, Elena De Carolis, Ada Rita Florio, Patrizia Posteraro, Maurizio Sanguinetti, Anna Maria Tortorano

Abstract readEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. What's New inJournal of fungi (Basel, Switzerland) · 2022
    Review
  7. Pulmonary Cryptococcosis.Journal of fungi (Basel, Switzerland) · 2022
    Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. CryptoType - Public Datasets for MALDI-TOF-MS Based Differentiation ofFrontiers in cellular and infection microbiology · 2021
    Article
  15. Review
  16. Article
  17. Review
  18. Review
  19. Bayesian analysis of two methods MALDI-TOF-MS system and culture test in otomycosis infection.World journal of otorhinolaryngology - head and neck surgery · 2019
    Article
  20. Evaluation of Vitek MS for Differentiation ofJournal of clinical microbiology · 2019
    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

8 authors.

Brunella PosteraroInstitute of Hygiene, Università Cattolica del Sacro Cuore, Rome, Italy.
Antonietta Vella
Massimo Cogliati
Elena De Carolis
Ada Rita Florio
Patrizia Posteraro
Maurizio Sanguinetti
Anna Maria Tortorano

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We evaluated the usefulness of matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) for Cryptococcus identification at the species and subspecies levels by using an in-house database of 25 reference cryptococcal spectra. Eighty-one out of the 82 Cryptococcus isolates (72 Cryptococcus neoformans and 10 Cryptococcus gattii) tested were correctly identified with respect to their molecular type designations. We showed that MALDI-TOF MS is a practicable alternative to conventional mycology or DNA-based methods.

Indexed as

CryptococcosisCryptococcus gattiiCryptococcus neoformansHumansMicrobiological TechniquesMycologySensitivity and SpecificitySpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationTime Factors

Identifiers

PMID22573595
PMCPMC3405602

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.