ArticleJournal of clinical microbiology2014
Evaluation of FilmArray and Verigene systems for rapid identification of positive blood cultures.
Article in Journal of clinical microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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Who cites it
38 citing papers in PubMed.
- Evolving Approaches to Bacterial Identification: A Review of Classical and Modern Techniques.International journal of molecular sciences · 2026Review
- Comparison of the Direct Identification and Short-Term Incubation Methods for Positive Blood Cultures via MALDI-TOF Mass Spectrometry.Diagnostics (Basel, Switzerland) · 2024Article
- A multisite validation of a two hours antibiotic susceptibility flow cytometry assay directly from positive blood cultures.BMC microbiology · 2024Article
- Evaluation of the Qvella FAST System and the FAST-PBC cartridge for rapid species identification and antimicrobial resistance testing directly from positive blood cultures.Journal of clinical microbiology · 2023Article
- Metabolic preference assay for rapid diagnosis of bloodstream infections.Nature communications · 2022Article
- Rapid molecular detection of pathogenic microorganisms and antimicrobial resistance markers in blood cultures: evaluation and utility of the next-generation FilmArray Blood Culture Identification 2 panel.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2022Article
- Direct Rapid Identification from Positive Blood Cultures by MALDI-TOF MS: Specific Focus on Turnaround Times.Microbiology spectrum · 2021Article
- Day at the Races: Comparing BioFire FilmArray Blood Culture ID Panels With Verigene Blood Culture Panel in Gram-Negative Bloodstream Infections Using DOOR-MAT Analysis.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021Article
- Identification and Antibiotic Susceptibility Patterns of Clinical Blood Culture Isolates Not Identified by a Rapid Microarray Diagnostic System.Microbiology spectrum · 2021Observational
- Comparing the Clinical Utility of Rapid Diagnostics for Treatment of Bloodstream Infections Using Desirability of Outcome Ranking Approach for the Management of Antibiotic Therapy (DOOR-MAT).Antimicrobial agents and chemotherapy · 2021Observational
- Article
- Bloodstream infections in critically ill patients: an expert statement.Intensive care medicine · 2020Article
- Identification and antimicrobial susceptibility testing of Gram-positive and Gram-negative bacteria from positive blood cultures using the Accelerate Pheno™ system.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2020Article
- Accurate identification of clinically importantFuture science OA · 2019Review
- New Microbiological Techniques in the Diagnosis of Bloodstream Infections.Deutsches Arzteblatt international · 2018Review
- The GenMark ePlexFuture microbiology · 2018Review
- Rapid Identification of Candida Species from Positive Blood Cultures by Use of the FilmArray Blood Culture Identification Panel.Journal of clinical microbiology · 2018Article
- Routine detection of carbapenem-resistant gram-negative bacilli in clinical laboratories. A review of current challenge.Saudi medical journal · 2018Review
- Rapid Classification and Identification of Multiple Microorganisms with Accurate Statistical Significance via High-Resolution Tandem Mass Spectrometry.Journal of the American Society for Mass Spectrometry · 2018Article
- Evaluation of the Accelerate Pheno System: Results from Two Academic Medical Centers.Journal of clinical microbiology · 2018Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Verigene tests for Gram-positive and Gram-negative organisms in blood culture and the FilmArray blood culture identification panel were assessed for their ability to identify pathogens from positive blood cultures. Both platforms correctly identified bacteria in 92% of monomicrobial cultures analyzed, with times to identification that were significantly shorter than those for identification from subcultures.
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