Evidence map›Paper›PMID 31321334›Full record

ArticleCurrent medical mycology2019

Identification of clinical dermatophyte isolates obtained from Iran by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry.

Mohammad Taghi Hedayati, Saham Ansari, Bahram Ahmadi, Mojtaba Taghizadeh Armaki, Tahereh Shokohi, Mahdi Abastabar, Halil Er, Betil Özhak, Dilara Öğünç, Macit Ilkit and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Current medical mycology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

12 citing papers in PubMed, 14 citations in OpenAlex.

  1. Optimizing MALDI-TOF MS for routine dermatophyte identification, including Trichophyton indotineae.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Article
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  6. 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
  7. Article
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  10. Epidemiology and Diagnostic Perspectives of Dermatophytoses.Journal of fungi (Basel, Switzerland) · 2020
    Review
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  12. 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

11 authors at 6 institutions in 3 countries.

Mohammad Taghi HedayatiInvasive Fungi Research Center, Mazandaran University of Medical Sciences, Sari, Iran.
Saham AnsariDepartment of Medical Parasitology and Mycology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Bahram AhmadiDepartment of Medical Laboratory Sciences, Faculty of Paramedical, Bushehr University of Medical Sciences, Bushehr, Iran.
Mojtaba Taghizadeh ArmakiDepartment of Medical Parasitology and Mycology, School of Medicine, Babol University of Medical Sciences, Babol, Iran.
Tahereh ShokohiInvasive Fungi Research Center, Mazandaran University of Medical Sciences, Sari, Iran.
Mahdi AbastabarInvasive Fungi Research Center, Mazandaran University of Medical Sciences, Sari, Iran.
Halil ErDepartment of Microbiology, Faculty of Medicine, University of Akdeniz, Antalya, Turkey.
Betil ÖzhakDepartment of Microbiology, Faculty of Medicine, University of Akdeniz, Antalya, Turkey.
Dilara ÖğünçDepartment of Microbiology, Faculty of Medicine, University of Akdeniz, Antalya, Turkey.
Macit IlkitDepartment of Microbiology, Division of Mycology, Faculty of Medicine, University of Çukurova, Adana, Turkey.
Seyedmojtaba SeyedmousaviDepartment of Medical Mycology, School of Medicine, Mazandaran University of Medical Sciences, Sari, Iran.
Mazandaran University of Medical Sciences · IRAkdeniz University · TRBabol University of Medical Sciences · IRBushehr University of Medical Sciences · IRCukurova University · TRShahid Beheshti University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeMatrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) is widely used to discriminate among pathogenic microorganisms in clinical laboratories. The aim of this study was to assess the utility of MALDI-TOF MS in the routine identification of clinical dermatophyte isolates obtained from various geographical regions of Iran. MATERIALS AND

methodsA total of 94 isolates, including

resultsThe MALDI-TOF MS led to the identification of 44 (47%) isolates at the species level by generating the spectral score values of ≥ 2.0. However, there was not sufficient agreement between the results of the molecular-based ITS identification methods and MALDI-TOF MS in the species identification of 16 (17%) isolates. The Bruker Daltonics database was also not able to identify protein spectra related to 12 isolates (13%), including

conclusionAccording to the results, the utility of MALDI-TOF MS as a routine diagnostic tool for the accurate and reliable identification of dermatophytes can be justified whenever the protein spectra of a large set of worldwide clinical isolates are included in the commercial libraries. In addition, MALDI-TOF MS can be alternatively used to construct an in-house reference database.

Indexed as

DermatophytesIranITS phylogenyMALDI-TOF MS

Identifiers

PMID31321334
PMCPMC6626716
OpenAlexW2959250001

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Registered trials

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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.