Evidence map›Paper›PMID 28680981›Full record

ArticleCurrent medical mycology2015

Molecular identification of uncommon clinical yeast species in Iran.

L Karimi, H Mirhendi, H Khodadadi, R Mohammadi

Abstract read
In one paragraph

Article in Current medical mycology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

  1. Pooled it
  2. The Yeast in the Vial: IatrogenicJournal of fungi (Basel, Switzerland) · 2026
    Article
  3. Article
  4. UnmaskingPathogens (Basel, Switzerland) · 2026
    Article
  5. An update on clinically relevant, rare, and emergingClinical microbiology reviews · 2025
    Review
  6. Article
  7. Article
  8. Detection ofFrontiers in cellular and infection microbiology · 2024
    Article
  9. Article
  10. Article
  11. Review
  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

4 authors.

L KarimiDr. Beheshti Hospital, Social Security Organization, Shiraz, Iran.
H MirhendiDepartment of Medical Parasitology and Mycology, School of Public Health, National Institute of Health Research, Tehran University of Medical Sciences, Tehran, Iran.
H KhodadadiDepartment of Medical Parasitology and Mycology, School of Medicine; Shiraz University of Medical Sciences, Shiraz, Iran.
R MohammadiDepartment of Medical Parasitology and Mycology, School of Medicine; Isfahan University of Medical Sciences.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeBy using advanced detection/identification methods, the list of emerging uncommon opportunistic yeast infections is rapidly expanding worldwide. Our aim in the present study was sequence-based species delineation of previously unidentified yeasts obtained from a clinically yeast collection. MATERIALS AND

methodsA total of twenty three out of the 855 (5.7%) yeast isolates which formerly remained unidentified by PCR-RFLP method, were subjected to sequence analysis of the entire internal transcribed spacers (ITS) regions of rDNA. The precise species recognition was performed by the comparison of the sequences with the reliable GenBank database.

resultsSequencing analysis of the ITS region of the strains revealed several uncommon yeasts that were not reported previously in Iran. The species include

conclusionWe identified several rare clinical isolates selected from a big collection at the species level by ITS-sequencing. As the list of yeast species as opportunistic human fungal infections is increasing dramatically, and many isolates remain unidentified using conventional methods, more sensitive and specific advanced approaches help us to clarify the aspects of microbial epidemiology of the yeast infections.

Indexed as

IranMolecular typingYeasts

Identifiers

PMID28680981
PMCPMC5490306

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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.