Evidence map›Paper›PMID 26056657›Full record

ArticleIranian journal of public health2014

Identification of Malassezia Species Isolated from Patients with Pityriasis Versicolor Using PCR-RFLP Method in Markazi Province, Central Iran.

Mojtaba Didehdar, Amir Sayed Ali Mehbod, Zahra Eslamirad, Mahdi Mosayebi, Reza Hajihossein, Behzad Ghorbanzade, Mahmoud Reza Khazaei

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In one paragraph

Article in Iranian journal of public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 33% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Clinical data analysis of 86 patients with invasive infections caused byFrontiers in cellular and infection microbiology · 2023
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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

7 authors at 3 institutions in 1 country.

Mojtaba Didehdar1. Molecular and Medicine Research Center, Arak University of Medical Sciences , Arak, Iran.
Amir Sayed Ali Mehbod2. Dept. of Medical Parasitology and Mycology, Army University of Medical Sciences , Tehran, Iran.
Zahra Eslamirad3. Dept. of Medical Parasitology and Mycology, Arak University of Medical Sciences , Arak, Iran.
Mahdi Mosayebi3. Dept. of Medical Parasitology and Mycology, Arak University of Medical Sciences , Arak, Iran.
Reza Hajihossein3. Dept. of Medical Parasitology and Mycology, Arak University of Medical Sciences , Arak, Iran.
Behzad Ghorbanzade3. Dept. of Medical Parasitology and Mycology, Arak University of Medical Sciences , Arak, Iran.
Mahmoud Reza Khazaei4. Dept. of Laboratory Science, Islamic Azad University of Arak , Arak, Iran.
Arak University of Medical Sciences · IRIslamic Azad University, Arak · IRTehran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe lipophilic yeasts of Malassezia species are members of the normal skin microbial that are cause of pityriasis versicolor. Pityriasis versicolor is a common superficial fungal infection with world-wide distribution. The phenotypic methods for identification of Malassezia species usually are time consuming and unreliable to differentiate newly identified species. But DNA-based techniques rapidly and accurately identified Malassezia species. The purpose of this study was isolation and identification of Malassezia Species from patients with pityriasis versicolor by molecular methods in Markazi Province, Central Iran in 2012.

methodsMycologic examinations including direct microscopy and culture were performed on clinical samples. DNA extraction was performed from colonies. The ITS1 region of rDNA from isolates of Malassezia species were amplified by PCR reaction. The PCR were digested by Cfo I enzyme.

resultsFrom 70 skin samples, were microscopically positive for Malassezia elements, 60 samples were grown on culture medium (85.7%). Using PCR-RFLP method, that was performed on 60 isolates, 37(61.6%) M. globosa, 14(23.3%) M. furfur, 5(8.4%) M. sympodialis and 4(6.7%) M. restrictawere identified. In one case was isolated M. globosa along with M. restricta.

conclusionThe PCR-RFLP method is a useful and reliable technique for identification of differentiation of Malas-sezia species.

Indexed as

IdentificationIranMalassezia spp.PCR-RFLPPityriasis versicolor

Identifiers

PMID26056657
PMCPMC4449417
OpenAlexW2096670750

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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.