Evidence map›Paper›PMID 36266641›Full record

SynthesisBMC infectious diseases2022

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.

Anna Maria Peri, Weiping Ling, Luis Furuya-Kanamori, Patrick N A Harris, David L Paterson

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
6.2field-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

41 citing papers in PubMed, 1 synthesis or guideline pooled it, 53 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Diagnostic performance and cost-effectiveness of a combined rapid antimicrobial susceptibility testing (RAST) and lateral flow immunochromatographic assay-based workflow for bloodstream infections.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Review
  13. Genomic Insights into Carbapenem-ResistantJournal of clinical medicine · 2026
    Article
  14. Article
  15. 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
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

5 authors at 1 institution in 1 country.

Anna Maria PeriUniversity of Queensland Centre for Clinical Research, Herston, QLD, 4029, Australia. a.peri@uq.edu.au.
Weiping LingUniversity of Queensland Centre for Clinical Research, Herston, QLD, 4029, Australia.
Luis Furuya-KanamoriUniversity of Queensland Centre for Clinical Research, Herston, QLD, 4029, Australia.
Patrick N A HarrisUniversity of Queensland Centre for Clinical Research, Herston, QLD, 4029, Australia.
David L PatersonUniversity of Queensland Centre for Clinical Research, Herston, QLD, 4029, Australia.
University of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly identification of bloodstream pathogens and their associated antimicrobial resistance may shorten time to optimal therapy in patients with sepsis. The BioFire Blood Culture Identification 2 Panel (BCID2) is a novel multiplex PCR detecting 43 targets directly from positive blood cultures, reducing turnaround times.

methodsWe have performed a systematic review and meta-analysis of diagnostic test accuracy studies to assess the BCID2 performance for pathogen identification and resistance markers detection compared to gold standard culture-based methods (including phenotypic and/or genotypic characterization).

resultsNine studies were identified reporting data to build 2 × 2 tables for each BCID2 target, including 2005 blood cultures. The pooled specificity of the assay was excellent (> 97%) across most subgroups of targets investigated, with a slightly broader confidence interval for S. epidermidis (98.1%, 95% CI 93.1 to 99.5). Pooled sensitivity was also high for the major determinants of bloodstream infection, including Enterobacterales (98.2%, 95% CI 96.3 to 99.1), S. aureus (96.0%, 95% CI 90.4 to 98.4), Streptococcus spp. (96.7%, 95% CI 92.8 to 98.5), P. aeruginosa (92.7%, 95% CI 83.1 to 97.0), E. faecalis (92.3%, 95% CI 83.5 to 96.6), as well as bla

conclusionsBCID2 showed good performance for detecting major determinants of bloodstream infection and could support early antimicrobial treatment, especially for ESBL or carbapenemase-producing Gram-negative bacilli and methicillin-resistant S. aureus.

Indexed as

BacteremiaMethicillin-Resistant Staphylococcus aureusAnti-Bacterial AgentsBlood CultureDiagnostic Tests, RoutineHumansStaphylococcus aureusAnti-Bacterial AgentsBCID2Blood cultureBloodstream infectionMeta-analysisMolecular diagnostic techniquesSepsis

Identifiers

PMID36266641
PMCPMC9585790
OpenAlexW4306878727

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.