ArticleBiology2022
BioFire FilmArray BCID2 versus VITEK-2 System in Determining Microbial Etiology and Antibiotic-Resistant Genes of Pathogens Recovered from Central Line-Associated Bloodstream Infections.
Article in Biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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
15 citing papers in PubMed, 15 citations in OpenAlex.
- Etiological characterization of acute respiratory tract infections and associated co-infections using Biofire respiratory 2.1 Plus panel.BMC infectious diseases · 2026Article
- Multiplex-PCR Identification of Positive Blood Cultures: Pathogen Epidemiology, Resistance Determinants, and the Economic and Interpretive Cost of Qualitative Rapid Diagnosis.Diagnostics (Basel, Switzerland) · 2026Article
- Multiplex droplet digital polymerase chain reaction for rapid diagnosing suspected bloodstream infections in patients with hematologic malignancies.Translational cancer research · 2026Article
- Diagnostic Accuracy of the Biofire FilmArray Blood Culture Identification 2 (BCID2) for Bloodstream Infections in Limpopo, South Africa.Infection and drug resistance · 2026Article
- [Efficiency and Usefulness of the Molecular Test 'BiofireAnnals of burns and fire disasters · 2025Article
- Automated molecular detection of the vancomycin resistance genes vanA and vanB using the geneLEAD VIII platform.Access microbiology · 2025Article
- Multiplex PCR-based rapid pathogen identification in acute cholecystitis using the FilmArray BCID2 panel.Frontiers in microbiology · 2025Article
- Getting Up to Speed: Rapid Pathogen and Antimicrobial Resistance Diagnostics in Sepsis.Microorganisms · 2024Review
- Correlation between Antibiotics-Resistance, Virulence Genes and Genotypes among Klebsiella pneumoniae Clinical Strains Isolated in Guangzhou, China.Current microbiology · 2024Article
- The impact of the BIOFIREEuropean journal of pediatrics · 2024Article
- Effectiveness of Pre-Transplant Screening for High-Priority Multidrug-Resistant Pathogens on Pre-Engraftment Infections After Hematopoietic Stem Cell Transplantation.Infection and drug resistance · 2024Article
- Diagnostic accuracy of the BioFire® FilmArray® pneumonia panel in COVID-19 patients with ventilator-associated pneumonia.BMC infectious diseases · 2023Article
- Microbiological Assessment of the FilmArray Blood Culture Identification 2 Panel: Potential Impact in Critically Ill Patients.Antibiotics (Basel, Switzerland) · 2023Article
- Clinical Impact of the BIOFIRE Blood Culture Identification 2 Panel in Adult Patients with Bloodstream Infection: A Multicentre Observational Study in the United Arab Emirates.Diagnostics (Basel, Switzerland) · 2023Article
- Antimicrobial Stewardship on Patients with Neutropenia: A Narrative Review Commissioned by Microorganisms.Microorganisms · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Central line-associated bloodstream infection (CLABSI) is among the most serious hospital acquired infections. Therefore, the rapid detection of the causative microorganism is of crucial importance to allow for the appropriate antimicrobial therapy. In the present study, we analyzed the clinical performance of the BioFire FilmArray Blood Culture Identification 2 (BCID2) panel in the identification of 33 microbial species and 10 antibiotic resistance genes in comparison to the VITEK-2 system. A total of 104 blood specimens were included. The FilmArray BCID2 results were concordant with the VITEK-2 system in 69/97 specimens (71.1%). Non-concordance was either due to the detection of more pathogens by the FilmArray BCID2 23/28 (82%) or microbial species were misidentified 5/28 (18%). Hence, in comparison to the VITEK-2 system, the FilmArray BCID2 panel showed an overall sensitivity of 75.8% (95% CI, 66-83%) and an overall specificity of 98% (95% CI, 97-98.8%) in detecting microbial species. For the resistance genes, the FilmArray BCID was able to detect the presence of
Indexed as
Identifiers
What OpenQuestion holds
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.