Evidence map›Paper›PMID 21653762›Full record

ArticleJournal of clinical microbiology2011

Rapid identification of Cryptococcus neoformans and Cryptococcus gattii by matrix-assisted laser desorption ionization-time of flight mass spectrometry.

Lisa R McTaggart, Eric Lei, Susan E Richardson, Linda Hoang, Annette Fothergill, Sean X Zhang

Abstract readComparative StudyEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

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

  1. Pooled it
  2. Article
  3. Limited genome evolution ofASM case reports · 2026
    Article
  4. Article
  5. Insights from Mass Spectrometry-Based Proteomics onJournal of fungi (Basel, Switzerland) · 2025
    Review
  6. What's New inJournal of fungi (Basel, Switzerland) · 2022
    Review
  7. Pulmonary Cryptococcosis.Journal of fungi (Basel, Switzerland) · 2022
    Review
  8. 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
  9. Review
  10. Article
  11. Frontiers in microbiology · 2021
    Article
  12. CryptoType - Public Datasets for MALDI-TOF-MS Based Differentiation ofFrontiers in cellular and infection microbiology · 2021
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Integrated therapy for HIV and cryptococcosis.AIDS research and therapy · 2016
    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

6 authors.

Lisa R McTaggartMycology Department, Ontario Agency for Health Protection and Promotion, 81 Resources Rd., Toronto, Ontario M9P 3T1, Canada. lisa.mctaggart@oahpp.ca
Eric Lei
Susan E Richardson
Linda Hoang
Annette Fothergill
Sean X Zhang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Compared to DNA sequence analysis, matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) correctly identified 100% of Cryptococcus species, distinguishing the notable pathogens Cryptococcus neoformans and C. gattii. Identification was greatly enhanced by supplementing a commercial spectral library with additional entries to account for subspecies variability.

Indexed as

Cryptococcus gattiiCryptococcus neoformansDNA, FungalHumansMicrobiological TechniquesMycologySensitivity and SpecificitySequence Analysis, DNASpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationDNA, Fungal

Identifiers

PMID21653762
PMCPMC3147715

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.