ArticleJournal of clinical microbiology2011
Comparative evaluation of three commercial identification systems using common and rare bloodstream yeast isolates.
Article in Journal of clinical microbiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
22 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
- Identification of Clinically Relevant Yeasts from Avian Isolates Using API ID32C, MALDI-TOF MS, and ITS Sequencing: Potential Relevance from a One Health Perspective.Veterinary sciences · 2026Article
- Review
- Speciation analysis of fungi by liquid atmospheric pressure MALDI mass spectrometry.Analytical and bioanalytical chemistry · 2025Article
- Clinical, epidemiological, and mycological features of patients with candidemia: Experience in two tertiary referral centers in Iran.Current medical mycology · 2022Article
- Epidemiology of yeast species causing bloodstream infection in Tehran, Iran (2015-2017); superiority of 21-plex PCR over the Vitek 2 system for yeast identification.Journal of medical microbiology · 2020Article
- Molecular identification and antifungal susceptibility testing of Pucciniomycotina red yeast clinical isolates from Rio de Janeiro, Brazil.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2020Article
- Matrix-assisted laser desorption/ionization time-of-flight mass spectrometric identification and antifungal susceptibility analysis of Candida species isolated from patients with invasive yeast infections in five university hospitals.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2019Article
- An Update on the Roles of Non-Journal of fungi (Basel, Switzerland) · 2018Review
- Concordance analysis between different methodologies used for identification of oral isolates ofColombia medica (Cali, Colombia) · 2018Article
- Intra- and Interlaboratory Agreement in Assessing the In Vitro Activity of Micafungin against Common and Rare Candida Species with the EUCAST, CLSI, and Etest Methods.Antimicrobial agents and chemotherapy · 2016Article
- Malassezia pachydermatis fungemia in an adult with multibacillary leprosy.Medical mycology case reports · 2016Article
- Molecular and Histological Association Between Candida albicans from Oral Soft Tissue and Carious Dentine of HIV-Positive Children.Mycopathologia · 2015Article
- Molecular identification of uncommon clinical yeast species in Iran.Current medical mycology · 2015Article
- Three cases of candidiasis misidentified as Candida famata by the Vitek 2 system.Annals of laboratory medicine · 2015Article
- Comparison and optimization of two MALDI-TOF MS platforms for the identification of medically relevant yeast species.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2014Article
- Comparative evaluation of BD Phoenix and vitek 2 systems for species identification of common and uncommon pathogenic yeasts.Journal of clinical microbiology · 2013Article
- Visual analysis of DNA microarray data for accurate molecular identification of non-albicans Candida isolates from patients with candidemia episodes.Journal of clinical microbiology · 2013Article
- Molecular identification, antifungal susceptibility profile, and biofilm formation of clinical and environmental Rhodotorula species isolates.Antimicrobial agents and chemotherapy · 2013Article
- Species identification of invasive yeasts including Candida in Pakistan: limitations of phenotypic methods.JPMA. The Journal of the Pakistan Medical Association · 2012Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The commercial yeast identification systems API ID32C, Auxacolor, and Vitek were evaluated using 251 molecularly identified bloodstream isolates and 2 reference strains, representing a total of 35 species (6 common and 29 rare). Correct identification rates were higher for common species (Auxacolor, 95%; API ID32C, 94%; Vitek, 92%) than for rare species (Auxacolor, 43%; API ID32C, 56%; Vitek, 64%). All systems performed equally among the former, and Vitek performed best among the latter.
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Registered trials
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.