ArticleJournal of clinical microbiology2006
Evaluation of the BD Phoenix automated microbiology system for identification and antimicrobial susceptibility testing of staphylococci and enterococci.
Article in Journal of clinical microbiology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
What it found
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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
28 citing papers in PubMed, 1 synthesis or guideline pooled it, 77 citations in OpenAlex.
- Phoenix 100 versus Vitek 2 in the identification of gram-positive and gram-negative bacteria: a comprehensive meta-analysis.Journal of clinical microbiology · 2011Pooled it
- Randomized controlled trial of cephalexin versus clindamycin for uncomplicated pediatric skin infections.Pediatrics · 2011Trial
- A Focused Review on Commercially Available Automated Systems for Antibiotic Susceptibility Testing.Journal of tropical medicine · 2025Review
- Rapid Drug Susceptibility Testing to Preserve Antibiotics.Methods in molecular biology (Clifton, N.J.) · 2024Review
- Analytical methods for assessing antimicrobial activity of nanomaterials in complex media: advances, challenges, and perspectives.Journal of nanobiotechnology · 2023Review
- Antimicrobial Susceptibility Testing for Enterococci.Journal of clinical microbiology · 2022Review
- Bacterial Coinfection and Antibiotic Resistance Profiles among Hospitalised COVID-19 Patients.Microorganisms · 2022Article
- Performance Evaluation of BD Phoenix NMIC-413 Antimicrobial Susceptibility Testing Panel for Imipenem, Meropenem, and Ertapenem Against Clinical Carbapenem-Resistant and Carbapenem-SusceptibleFrontiers in medicine · 2021Article
- Species and drug susceptibility profiles of staphylococci isolated from healthy children in Eastern Uganda.PloS one · 2020Article
- Performance of the BD Phoenix Automated Microbiology System for Trimethoprim-Sulfamethoxazole Susceptibility Testing of Staphylococcus aureus.Journal of clinical microbiology · 2019Article
- Nasopharyngeal carriage, spa types and antibiotic susceptibility profiles of Staphylococcus aureus from healthy children less than 5 years in Eastern Uganda.BMC infectious diseases · 2019Article
- In vitro antimicrobial susceptibility testing methods: agar dilution to 3D tissue-engineered models.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2018Review
- Salmonella, Shigella, and yersinia.Clinics in laboratory medicine · 2015Review
- Prevalence and risk factors for methicillin-resistant Staphylococcus aureus in an HIV-positive cohort.American journal of infection control · 2015Article
- Comparison of commercial antimicrobial susceptibility test methods for testing of Staphylococcus aureus and Enterococci against vancomycin, daptomycin, and linezolid.Journal of clinical microbiology · 2014Article
- Prediction of Staphylococcus aureus antimicrobial resistance by whole-genome sequencing.Journal of clinical microbiology · 2014Article
- Article
- Comparison of an automated system with conventional identification and antimicrobial susceptibility testing.ISRN microbiology · 2012Article
- Glycopeptide resistance in gram-positive cocci: a review.Interdisciplinary perspectives on infectious diseases · 2012Article
- Comparative evaluation of Bruker Biotyper and BD Phoenix systems for identification of bacterial pathogens associated with urinary tract infections.Journal of clinical microbiology · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We evaluated the Phoenix automated microbiology system (BD Diagnostic Systems, Sparks, MD) for the identification (ID) and antimicrobial susceptibility testing (AST) of challenge and clinical staphylococci and enterococci recovered from patients in a tertiary-care medical center. In total, 424 isolates were tested: 90 enterococci; 232 Staphylococcus aureus isolates, including 14 vancomycin-intermediate S. aureus isolates; and 102 staphylococci other than S. aureus (non-S. aureus). The Phoenix panels were inoculated according to the manufacturer's instructions. The reference methods for ID comparisons were conventional biochemicals and cell wall fatty acid analysis with the Sherlock microbial identification system (v 3.1; MIDI, Inc. Newark, DE). Agar dilution was the reference AST method. The overall rates of agreement for identification to the genus and the species levels were 99.7% and 99.3%, respectively. All S. aureus isolates and enterococci were correctly identified by the Phoenix panels. For the non-S. aureus staphylococci, there was 98.0% agreement for the ID of 16 different species. The AST results were stratified by organism group. For S. aureus, the categorical agreement (CA) and essential agreement (EA) were 98.2% and 98.8%, respectively. Three of three very major errors (VMEs; 1.7%) were with oxacillin. For non-S. aureus staphylococci, the CA, EA, VME, major errors, and minor error rates were 95.7%, 96.8%, 0.7%, 1.7%, and 2.9%, respectively. The two VMEs were with oxacillin. For the enterococci, there was 100% CA and 99.3% EA. All 36 vancomycin-resistant enterococci were detected by the Phoenix system. The Phoenix system compares favorably to traditional methods for the ID and AST of staphylococci and enterococci.
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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.