ArticleJournal of clinical microbiology2021
Usefulness of BioFire FilmArray BCID2 for Blood Culture Processing in Clinical Practice.
Article in Journal of clinical microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05833412 (Clinical Study to Improve the Quality of Care in Critically Ill Patients With Suspected Sepsis Through Early Molecular Diagnosis .), which is not on this map. Cited by 64 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.
Clinical Study to Improve the Quality of Care in Critically Ill Patients With Suspected Sepsis Through Early Molecular Diagnosis .
Who cites it
64 citing papers in PubMed, 1 synthesis or guideline pooled it, 96 citations in OpenAlex.
- Performance of BioFire Blood Culture Identification 2 Panel (BCID2) for the detection of bloodstream pathogens and their associated resistance markers: a systematic review and meta-analysis of diagnostic test accuracy studies.BMC infectious diseases · 2022Pooled it
- Implementation of multiplex PCR-based blood culture identification among hospitalized pediatric patients at a tertiary care center.Microbiology spectrum · 2026Article
- Comparative evaluation of EUCAST RAST and QuickMIC for rapid antimicrobial susceptibility testing of carbapenem-resistant organisms directly from positive blood cultures.Microbiology spectrum · 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
- Evaluation of FilmArray Multiplex PCR Test Results in Bloodstream Infections in Oncological Patients.Journal of clinical laboratory analysis · 2026Article
- [Advances in integrated antimicrobial resistance diagnostics: quantitative, qualitative and AI-driven approaches].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2026Review
- [Requirements for the rational use of antibiotics based on antibiotic stewardship].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2026Review
- Programmable CRISPR-Cas diagnostic platforms for rapid detection of uropathogens and antimicrobial resistance.Archives of microbiology · 2026Review
- Comparison of three immunochromatographic assays for the rapid detection of CTX-M in Enterobacterales.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026Article
- Rapid commercial CTX-M diagnostics: Performance, limitations and clinical impact.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026Review
- Comparison of pathogen and resistance profiles in bloodstream infections using conventional methods and multiplex RT-PCR.Molecular biology reports · 2026Article
- Clinical performance of the VITEK REVEAL fast antimicrobial susceptibility test within a real-world workflow for gram-negative bacteremia: comparison with QMAC-dRAST and conventional methods.Microbiology spectrum · 2026Article
- Diagnostic Accuracy of the Biofire FilmArray Blood Culture Identification 2 (BCID2) for Bloodstream Infections in Limpopo, South Africa.Infection and drug resistance · 2026Article
- Article
- BacT-Seq, a Nanopore-Based Whole-Genome Sequencing Workflow Prototype for Rapid and Accurate Pathogen Identification and Resistance Prediction from Positive Blood Cultures: A Feasibility Study.Diagnostics (Basel, Switzerland) · 2026Article
- Real-life evaluation of BioFire® BCID2 and Vitek® REVEALTM for Gram-negative bloodstream infections in critical care.PloS one · 2026Article
- A Review on the Current and Future State of Urinary Tract Infection Diagnostics.International journal of molecular sciences · 2025Review
- Rapid and accurate sepsis diagnostics via a novel probe-based multiplex real-time PCR system.Microbiology spectrum · 2025Article
- Comparative evaluation of Biofire Joint Infection Panel, Sepsitest 16S/18S rDNA PCR, and culture to identify microorganisms in explanted heart valves.Microbiology spectrum · 2025Article
- [Efficiency and Usefulness of the Molecular Test 'BiofireAnnals of burns and fire disasters · 2025Article
4 more citing papers are in PubMed but not listed here.
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 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Rapid pathogen characterization from positive blood cultures (BC) can improve management of patients with bloodstream infections (BSI). The FilmArray blood culture identification (BCID) assay is a molecular test approved for direct identification of BSI causing pathogens from positive BC. A recently updated version of the panel (BCID2) comprises improved species identification characteristics and allows for the detection of one expanded-spectrum β-lactamase (ESBL)- and several carbapenemase-encoding genes. Here, the clinical performance of the BCID2 assay for species identification in 180 positive BCs was evaluated. BCID2 results were concordant with the standard of care (SOC) in 159/180 (88.3%) BCs; 68/74 (91.9%) and 71/74 (96.0%) of all samples growing monobacterial, Gram-positive or Gram-negative pathogens, respectively, were identified, in agreement with SOC results. Nonconcordance was related to the detection of additional pathogens by the BCID2 assay (
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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.