Evidence map›Paper›PMID 29695525›Full record

ArticleJournal of clinical microbiology2018

Ultra-High-Resolution Mass Spectrometry for Identification of Closely Related Dermatophytes with Different Clinical Predilections.

Karolina Dukik, Joanna Freeke, Azadeh Jamalian, Bert Gerrits van den Ende, Ping Yip, James L Stephenson, G Sybren de Hoog, J Benjamin Stielow

Abstract read
PubMed Full text at PMC Publisher
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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Accurate Identification of Closely RelatedFrontiers in cellular and infection microbiology · 2021
    Article
  2. The new microbiology: cultivating the future of microbiome-directed medicine.American journal of physiology. Gastrointestinal and liver physiology · 2020
    Review
  3. 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.

Karolina DukikWesterdijk Fungal Biodiversity Institute, Utrecht, The Netherlands.
Joanna FreekeWesterdijk Fungal Biodiversity Institute, Utrecht, The Netherlands.
Azadeh JamalianWesterdijk Fungal Biodiversity Institute, Utrecht, The Netherlands.
Bert Gerrits van den EndeWesterdijk Fungal Biodiversity Institute, Utrecht, The Netherlands.
Ping YipThermo Fisher Scientific, Cambridge, Massachusetts, USA.
James L StephensonThermo Fisher Scientific, Cambridge, Massachusetts, USA.
G Sybren de HoogWesterdijk Fungal Biodiversity Institute, Utrecht, The Netherlands.
J Benjamin StielowWesterdijk Fungal Biodiversity Institute, Utrecht, The Netherlands benjamin.stielow@thermofisher.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the present study, an innovative top-down liquid chromatography-tandem mass spectrometry (LC-MS/MS) method for the identification of clinically relevant fungi is tested using a model set of dermatophyte strains. The methodology characterizes intact proteins derived from

Indexed as

Tandem Mass SpectrometryArthrodermataceaeDermatomycosesFungal ProteinsHumansMycological Typing TechniquesSpecies SpecificityTrichophytonFungal Proteinsclinical mycologydermatophytesidentificationLC-MS/MSTrichophyton

Identifiers

PMID29695525
PMCPMC6018324

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.