Evidence map›Paper›PMID 27957599›Full record

ArticleEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2017

Evaluation of the BioFire FilmArray® GastrointestinalPanel in a Midwestern Academic Hospital.

C N Murphy, R C Fowler, P C Iwen, P D Fey

Abstract readEvaluation Study
PubMed Publisher
In one paragraph

Article in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
5.6field-weighted citation impact, top 4% 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

39 citing papers in PubMed, 62 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Bacteremic vs NonbacteremicOpen forum infectious diseases · 2025
    Article
  8. Review
  9. Article
  10. Acute infectious gastroenteritis in childhood: the role of rapid multiplex molecular syndromic panels in diagnosis and clinical management.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2025
    Review
  11. Clinical Performance of the LiquidArrayDiagnostics (Basel, Switzerland) · 2024
    Article
  12. Article
  13. Article
  14. The Impact of a Positive BiofireDiagnostics (Basel, Switzerland) · 2023
    Article
  15. Article
  16. Article
  17. Food and waterborne parasitology · 2021
    Review
  18. Article
  19. Evidence of False Positivity forOpen forum infectious diseases · 2021
    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

4 authors at 1 institution in 1 country.

C N MurphyDepartment of Pathology and Microbiology, University of Nebraska Medical Center, 985900 Nebraska Medical Center, Omaha, NE, 68198-5900, USA. caitlin.murphy@unmc.edu.
R C FowlerDepartment of Pathology and Microbiology, University of Nebraska Medical Center, 985900 Nebraska Medical Center, Omaha, NE, 68198-5900, USA.
P C IwenDepartment of Pathology and Microbiology, University of Nebraska Medical Center, 985900 Nebraska Medical Center, Omaha, NE, 68198-5900, USA.
P D FeyDepartment of Pathology and Microbiology, University of Nebraska Medical Center, 985900 Nebraska Medical Center, Omaha, NE, 68198-5900, USA.
University of Nebraska Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The BioFire FilmArray® Gastrointestinal Panel (GIP) was implemented to replace traditional stool culture and enzyme immunoassay (EIA) testing for stool pathogens. The purpose of this study was to evaluate the detection rate, incidence of coinfection, and culture recovery rate of gastrointestinal (GI) pathogens detected by the GIP over a 1-year period. A total of 2257 stools collected from January to December 2015 were tested using the GIP. Clostridium difficile colonization was also evaluated by an antigen/toxin EIA and confirmatory polymerase chain reaction (PCR). The GIP detected one pathogen in 911 (40.4%) specimens. Coinfections were detected in 176 (7.8%) of these specimens. The most frequently detected pathogens were C. difficile (15.2%), norovirus (8.9%), enteropathogenic Escherichia coli (7.1%), enteroaggregative E. coli (3.4%), Campylobacter spp. (2.3%), and sapovirus (2.0%). Each of the remaining GIP targets had a detection rate of ≤1.6%. The recovery of bacteria for public health investigations varied, with rates as high as 77% for Salmonella to as low as 30% for Yersinia enterocolitica. Of stools positive for C. difficile on the GIP that were tested by EIA, only 42.7% (88/206) were found to be producing detectable toxin. Overall, the implementation of the GIP resulted in high detection rates of GI pathogens, including the frequent detection of coinfections. This is a promising test to streamline the testing of agents causing infectious gastroenteritis from multiple tests down to a single order with limited hands-on time. Ongoing studies will need to assess the impact that the GIP has on downstream patient care and public health practices.

Indexed as

Academic Medical CentersBacterial InfectionsCoinfectionDiagnostic Tests, RoutineGastroenteritisHospitalsHumansMicrobiological TechniquesMidwestern United StatesVirus Diseases

Identifiers

PMID27957599
OpenAlexW2559995188

What OpenQuestion holds

Textmetadata
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.