Evidence map›Paper›PMID 23303501›Full record

ArticleJournal of clinical microbiology2013

PCR followed by electrospray ionization mass spectrometry for broad-range identification of fungal pathogens.

Christian Massire, Daelynn R Buelow, Sean X Zhang, Robert Lovari, Heather E Matthews, Donna M Toleno, Raymond R Ranken, Thomas A Hall, David Metzgar, Rangarajan Sampath and 5 more

Open access · bronzeAbstract readEvaluation 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 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

17 citing papers in PubMed, 45 citations in OpenAlex.

  1. Non-Journal of fungi (Basel, Switzerland) · 2023
    Review
  2. Article
  3. Review
  4. Article
  5. Recent Advances in the Treatment of Scedosporiosis and Fusariosis.Journal of fungi (Basel, Switzerland) · 2018
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Update on fungal diagnostics.Current infectious disease reports · 2014
    Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. 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

15 authors at 5 institutions in 1 country.

Christian MassireIbis Biosciences, Abbott Laboratories, Carlsbad, California, USA.
Daelynn R Buelow
Sean X Zhang
Robert Lovari
Heather E Matthews
Donna M Toleno
Raymond R Ranken
Thomas A Hall
David Metzgar
Rangarajan Sampath
Lawrence B Blyn
David J Ecker
Zhengming Gu
Thomas J Walsh
Randall T Hayden
Abbott (United States) · USSt. Jude Children's Research Hospital · USIonis Pharmaceuticals (United States) · USCornell University · USJohns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Invasive fungal infections are a significant cause of morbidity and mortality among immunocompromised patients. Early and accurate identification of these pathogens is central to direct therapy and to improve overall outcome. PCR coupled with electrospray ionization mass spectrometry (PCR/ESI-MS) was evaluated as a novel means for identification of fungal pathogens. Using a database grounded by 60 ATCC reference strains, a total of 394 clinical fungal isolates (264 molds and 130 yeasts) were analyzed by PCR/ESI-MS; results were compared to phenotypic identification, and discrepant results were sequence confirmed. PCR/ESI-MS identified 81.4% of molds to either the genus or species level, with concordance rates of 89.7% and 87.4%, respectively, to phenotypic identification. Likewise, PCR/ESI-MS was able to identify 98.4% of yeasts to either the genus or species level, agreeing with 100% of phenotypic results at both the genus and species level. PCR/ESI-MS performed best with Aspergillus and Candida isolates, generating species-level identification in 94.4% and 99.2% of isolates, respectively. PCR/ESI-MS is a promising new technology for broad-range detection and identification of medically important fungal pathogens that cause invasive mycoses.

Indexed as

FungiHumansMicrobiological TechniquesMolecular Diagnostic TechniquesMycologyMycosesPolymerase Chain ReactionSpectrometry, Mass, Electrospray Ionization

Identifiers

PMID23303501
PMCPMC3592073
OpenAlexW2099620811

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.