Evidence map›Paper›PMID 35874050›Full record

ArticleHeliyon2022

Performance of the BioFire Blood Culture Identification 2 panel for the diagnosis of bloodstream infections.

Anna Maria Peri, Michelle J Bauer, Haakon Bergh, Dominika Butkiewicz, David L Paterson, Patrick Na Harris

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 6% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. 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
  5. Article
  6. Article
  7. [Efficiency and Usefulness of the Molecular Test 'BiofireAnnals of burns and fire disasters · 2025
    Article
  8. Observational
  9. Article
  10. Review
  11. Guidelines for Antibiotics Prescription in Critically Ill Patients.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2024
    Article
  12. Article
  13. Clinical Utility of Blood Culture Identification 2 Panel in Flagged Blood Culture Samples from the Intensive Care Unit of a Tertiary Care Hospital.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2024
    Article
  14. Article
  15. The impact of the BIOFIREEuropean journal of pediatrics · 2024
    Article
  16. Observational
  17. [Evaluation of two phenotypic techniques and a commercial multiplex molecular panel for the detection of different carbapenemases].Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2023
    Article
  18. Article
  19. Article
  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

6 authors at 2 institutions in 1 country.

Anna Maria PeriUniversity of Queensland Centre for Clinical Research, Herston, Brisbane City, QLD, 4029, Australia.
Michelle J BauerUniversity of Queensland Centre for Clinical Research, Herston, Brisbane City, QLD, 4029, Australia.
Haakon BerghCentral Microbiology, Pathology Queensland, Royal Brisbane and Women's Hospital, Herston, Brisbane City, QLD, 4029, Australia.
Dominika ButkiewiczUniversity of Queensland Centre for Clinical Research, Herston, Brisbane City, QLD, 4029, Australia.
David L PatersonUniversity of Queensland Centre for Clinical Research, Herston, Brisbane City, QLD, 4029, Australia.
Patrick Na HarrisUniversity of Queensland Centre for Clinical Research, Herston, Brisbane City, QLD, 4029, Australia.
The University of Queensland · AURoyal Brisbane and Women's Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Conventional blood cultures methods are associated with long turnaround times, preventing early treatment optimization in bloodstream infections. The BioFire Blood Culture Identification 2 (BCID2) Panel is a new multiplex PCR applied on positive blood cultures, reducing time to pathogen identification and resistant markers detection. Methods: We conducted a prospective observational study including positive blood cultures from Intensive Care Units and Emergency Departments and performed BCID2 in addition to conventional testing. Concordance between the two methods was assessed and BCID2 performance characteristics were evaluated. Resistance markers detected by BCID2 were confirmed by in-house PCR. Whole genome sequencing was performed in discordant cases. Results: Among 60 monomicrobial blood cultures, BCID2 correctly identified 55/56 (91.7%) on-panel pathogens, showing an overall concordance of 98%. In 4/60 cases BCID2 did not detect any target and these all grew BCID2 off-panel bacteria. Only one discordant case was found. Sensitivity and specificity for Gram-positive bacteria on monomicrobial samples were 100% (95% CI 85.8-100%) and 100% (95% CI 90.3-100%) respectively, while for Gram-negatives 100% (95% CI 87.7-100) and 96.9% (95% CI 83.8-99.9%), respectively. Among two polymicrobial blood cultures, full concordance was observed in one case only. BCID2 identified antimicrobial resistance genes in 6/62 samples, all confirmed by in-house PCR (3 Conclusions: BCID2 showed good agreement with conventional methods. Studies to assess its clinical impact are warranted.

Indexed as

Blood cultureBloodstream infectionMolecular diagnostic techniquesSepsis

Identifiers

PMID35874050
PMCPMC9304729
OpenAlexW4285807677

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.