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Concordance analysis between different methodologies used for identification of oral isolates of Candida species

Overview of attention for article published in Colombia Médica, September 2018
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Title
Concordance analysis between different methodologies used for identification of oral isolates of Candida species
Published in
Colombia Médica, September 2018
DOI 10.25100/cm.v49i3.3774
Pubmed ID
Authors

Alejandra Zuluaga, Karen Arango-Bustamante, Diego H. Caceres, Zilpa A. Sánchez-Quitian, Verónica Velásquez, Beatriz L. Gómez, Claudia M. Parra-Giraldo, Natalia Maldonado, Luz E. Cano, Catalina de Bedout, Raúl E. Rivera

Abstract

The yeasts species determination is fundamental not only for an accurate diagnosis but also for establishing a suitable patient treatment. We performed a concordance study of five methodologies for the species identification of oral isolates of Candida in Colombia. Sixty-seven Candida isolates were tested by; API® 20C-AUX, Vitek®2 Compact, Vitek®MS, Microflex® and a molecular test (panfungal PCR and sequencing). The commercial cost and processing time of the samples was done by graphical analysis. Panfungal PCR differentiated 12 species of Candida, Vitek®MS and Microflex® methods identified 9 species, and API® 20C-AUX and Vitek®2 Compact methods identified 8 species each. Weighted Kappa (wK) showed a high agreement between Panfungal PCR, Vitek®MS, Microflex® and API® 20C-AUX (wK 0.62-0.93). The wK that involved the Vitek®2 Compact method presented moderate or good concordances compared with the other methods (wK 0.56-0.73). Methodologies based on MALDI TOF MS required 4 minutes to generate results and the Microflex® method had the lowest selling price. The methods evaluated showed high concordance in their results, being higher for the molecular methods and the methodologies based on MALDI TOF. The latter are faster and cheaper, presenting as promising alternatives for the routine identification of yeast species of the genus Candida.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 8 15%
Student > Master 5 10%
Other 4 8%
Professor 3 6%
Lecturer 2 4%
Other 5 10%
Unknown 25 48%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 13%
Medicine and Dentistry 6 12%
Agricultural and Biological Sciences 5 10%
Immunology and Microbiology 5 10%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 1 2%
Unknown 27 52%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 November 2018.
All research outputs
#23,084,818
of 25,728,855 outputs
Outputs from Colombia Médica
#173
of 193 outputs
Outputs of similar age
#309,182
of 352,920 outputs
Outputs of similar age from Colombia Médica
#6
of 7 outputs
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So far Altmetric has tracked 193 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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