Evidence map›Paper›PMID 36519852›Full record

ArticleMicrobiology spectrum2023

Multicenter Evaluation of the FilmArray Blood Culture Identification 2 Panel for Pathogen Detection in Bloodstream Infections.

François Caméléna, Gauthier Péan de Ponfilly, Hélène Pailhoriès, Lucas Bonzon, Alexandre Alanio, Thibaut Poncin, Matthieu Lafaurie, François Dépret, Emmanuel Cambau, Sylvain Godreuil and 4 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Microbiology spectrum, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 2 pooled it
6.7field-weighted citation impact, top 2% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 2 syntheses or guidelines pooled it, 53 citations in OpenAlex.

  1. Nucleic Acid Amplification Tests forPathogens (Basel, Switzerland) · 2026
    Pooled it
  2. Brazilian guidelines for the diagnosis and treatment of candidemia and invasive candidiasis in adults and children.The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases
    Guideline
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. 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 · 2026
    Review
  9. Article
  10. Article
  11. Rapid prediction of vancomycin-resistantFrontiers in microbiology · 2026
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. [Efficiency and Usefulness of the Molecular Test 'BiofireAnnals of burns and fire disasters · 2025
    Article
  17. Review
  18. Observational
  19. Diagnostic Approaches forMicroorganisms · 2025
    Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 5 institutions in 1 country.

François CamélénaDépartement de Bactériologie, Groupe Hospitalier Saint-Louis-Lariboisière-Fernand Widal, Assistance Publique-Hôpitaux de Paris, Paris, France.ORCID 0000-0002-0958-4802
Gauthier Péan de PonfillyService de Microbiologie clinique, Groupe hospitalier Paris Saint Joseph, Paris, France.
Hélène PailhorièsLaboratoire de Bactériologie, Institut de Biologie en Santé, Centre Hospitalier Universitaire d'Angers, Laboratoire HIFIH, UPRES EA3859, SFR ICAT 4208, Université d'Angers, Angers, France.
Lucas BonzonLaboratoire de Bactériologie, Centre Hospitalier Universitaire de Montpellier et MIVEGEC, UMR IRD-CNRS-Université de Montpellier, Montpellier, France.
Alexandre AlanioLaboratoire de Parasitologie-Mycologie, Groupe Hospitalier Saint-Louis-Lariboisière-Fernand Widal, Assistance Publique-Hôpitaux de Paris, Paris, France.
Thibaut PoncinDépartement de Bactériologie, Groupe Hospitalier Saint-Louis-Lariboisière-Fernand Widal, Assistance Publique-Hôpitaux de Paris, Paris, France.
Matthieu LafaurieDépartement des Maladies Infectieuses et Tropicales, Groupe Hospitalier Saint-Louis-Lariboisière-Fernand Widal, Assistance Publique-Hôpitaux de Paris, Paris, France.
François DépretDépartement d'Anesthésie et Réanimation chirurgicale et brûlés, Groupe Hospitalier Saint-Louis-Lariboisière-Fernand Widal, Assistance Publique-Hôpitaux de Paris, Paris, France.
Emmanuel CambauUniversité Paris Cité and Université Sorbonne Paris Nord, INSERM, IAME, Paris, France.
Sylvain GodreuilLaboratoire de Bactériologie, Centre Hospitalier Universitaire de Montpellier et MIVEGEC, UMR IRD-CNRS-Université de Montpellier, Montpellier, France.
Rachel ChenouardLaboratoire de Bactériologie, Institut de Biologie en Santé, Centre Hospitalier Universitaire d'Angers, Laboratoire HIFIH, UPRES EA3859, SFR ICAT 4208, Université d'Angers, Angers, France.
Alban Le MonnierService de Microbiologie clinique, Groupe hospitalier Paris Saint Joseph, Paris, France.
Hervé JacquierDépartement de Bactériologie, Groupe Hospitalier Saint-Louis-Lariboisière-Fernand Widal, Assistance Publique-Hôpitaux de Paris, Paris, France.
Béatrice BerçotDépartement de Bactériologie, Groupe Hospitalier Saint-Louis-Lariboisière-Fernand Widal, Assistance Publique-Hôpitaux de Paris, Paris, France.ORCID 0000-0003-1603-3635
Inserm · FRCentre National de la Recherche Scientifique · FRAgroParisTech · FRAssistance Publique – Hôpitaux de Paris · FRCentre Hospitalier Universitaire d'Angers · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The FilmArray Blood Culture Identification 2 panel (BCID2; bioMérieux) is a fully automated PCR-based assay for identifying bacteria, fungi, and bacterial resistance markers in positive blood cultures (BC) in about 1 h. In this multicenter study, we evaluated the performance of the BCID2 panel for pathogen detection in positive BC. Conventional culture and BCID2 were performed in parallel at four tertiary-care hospitals. We included 152 positive BC-130 monomicrobial and 22 polymicrobial cultures-in this analysis. The BCID2 assay correctly identified 90% (88/98) of Gram-negative and 89% (70/79) of Gram-positive bacteria. Five bacterial isolates targeted by the BCID2 panel and recovered from five positive BC, including three polymicrobial cultures, were missed by the BCID2 assay. Fifteen isolates were off-panel organisms, accounting for 8% (15/182) of the isolates obtained from BC. The mean positive percent agreement between the BCID2 assay and standard culture was 97% (95% confidence interval, 95 to 99%), with agreement ranging from 67% for Candida albicans to 100% for 17 targets included in the BCID2 panel. BCID2 also identified the

Indexed as

BacteremiaSepsisBacteriaBlood CultureGram-Negative BacteriaGram-Positive BacteriaHumansBCID2Biofirebloodstream infectionBSIFilmArraygenotypic identificationmolecular diagnosisrapid diagnosisresistance genesepsis

Identifiers

PMID36519852
PMCPMC9927563
OpenAlexW4311575707

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.