ArticleJournal of clinical pathology1999
Comparative study of seven commercial yeast identification systems.
Article in Journal of clinical pathology, 1999. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.
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Who cites it
35 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Are the Conventional Commercial Yeast Identification Methods Still Helpful in the Era of New Clinical Microbiology Diagnostics? A Meta-Analysis of Their Accuracy.Journal of clinical microbiology · 2015Pooled it
- The Influence of Maceration on the Biodiversity of Yeasts in the Early Winemaking Stages of White Wine from the Slovak Tokay Wine Region.Foods (Basel, Switzerland) · 2024Article
- Article
- Identification and antifungal susceptibility testing of Candida haemulonii complex isolated from clinical samples.Folia microbiologica · 2024Article
- Molecular identification and performance evaluation of wild yeasts from different Ethiopian fermented products.Journal of food science and technology · 2020Article
- Article
- An Update on the Roles of Non-Journal of fungi (Basel, Switzerland) · 2018Review
- Identification ofCurrent medical mycology · 2017Article
- Advances in Candida detection platforms for clinical and point-of-care applications.Critical reviews in biotechnology · 2017Review
- Comparison of Vitek Matrix-assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry Versus Conventional Methods in Candida Identification.Mycopathologia · 2016Article
- Comparative Evaluation of the BD Phoenix Yeast ID Panel and Remel RapID Yeast Plus System for Yeast Identification.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2016Article
- Uncommon opportunistic fungal infections of oral cavity: A review.Journal of oral and maxillofacial pathology : JOMFP · 2014Review
- Misidentification of Candida guilliermondii as C. famata among strains isolated from blood cultures by the VITEK 2 system.BioMed research international · 2014Article
- Article
- Use of the VITEK 2 system to identify and test the antifungal susceptibility of clinically relevant yeast species.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2013Article
- Multicenter study evaluating the Vitek MS system for identification of medically important yeasts.Journal of clinical microbiology · 2013Article
- Advances in identification of clinical yeast isolates by use of matrix-assisted laser desorption ionization-time of flight mass spectrometry.Journal of clinical microbiology · 2013Article
- PCR followed by electrospray ionization mass spectrometry for broad-range identification of fungal pathogens.Journal of clinical microbiology · 2013Article
- Optimization of the preanalytical steps of matrix-assisted laser desorption ionization-time of flight mass spectrometry identification provides a flexible and efficient tool for identification of clinical yeast isolates in medical laboratories.Journal of clinical microbiology · 2012Article
- Assessment of accuracy of identification of pathogenic yeasts in microbiology laboratories in the United kingdom.Journal of clinical microbiology · 2012Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimsTo compare the performance of seven commercial yeast identification methods with that of a reference method, and to compare the costs of the commercial kits.
methodsClinical yeast isolates (n = 52), comprising 19 species, were identified using Vitek, Api ID 32C, Api 20C AUX, Yeast Star, Auxacolor, RapID Yeast Plus system, and Api Candida and compared with a reference method which employed conventional tests.
resultsThe percentage of correctly identified isolates varied between 59.6% and 80.8%. Overall, the highest performance was obtained with Api Candida (78.8%) and Auxacolor (80.8%). Among germ tube negative yeast isolates, Auxacolor and Api Candida both identified 93.1% of isolates correctly. All systems failed to identify C norvegensis, C catenulata, C haemulonii, and C dubliniensis. In comparison with Auxacolor, the Api Candida is less expensive and requires less bench time.
conclusionsAuxacolor and Api Candida appeared to be the most useful systems for identification of germ tube negative yeast isolates in clinical microbiology laboratories, although one should be aware that several germ tube negative Candida species cannot be identified by these systems.
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