Cited by 554Viral gastroenteritis research and epidemiologyBacterial Identification and Susceptibility TestingSalmonella and Campylobacter epidemiology

The DOI matches its Crossref record, with a small difference in title or year; 1 of the 1 references it cites were found in a registry or an index.

Multicenter Evaluation of the BioFire FilmArray Gastrointestinal Panel for Etiologic Diagnosis of Infectious Gastroenteritis

Open access

Abstract

The appropriate treatment and control of infectious gastroenteritis depend on the ability to rapidly detect the wide range of etiologic agents associated with the disease. Clinical laboratories currently utilize an array of different methodologies to test for bacterial, parasitic, and viral causes of gastroenteritis, a strategy that suffers from poor sensitivity, potentially long turnaround times, and complicated ordering practices and workflows. Additionally, there are limited or no testing methods routinely available for most diarrheagenic Escherichia coli strains, astroviruses, and sapoviruses. This study assessed the performance of the FilmArray Gastrointestinal (GI) Panel for the simultaneous detection of 22 different enteric pathogens directly from stool specimens: Campylobacter spp., Clostridium difficile (toxin A/B), Plesiomonas shigelloides , Salmonella spp., Vibrio spp., Vibrio cholerae , Yersinia enterocolitica , enteroaggregative E. coli , enteropathogenic E. coli , enterotoxigenic E. coli , Shiga-like toxin-producing E. coli ( stx 1 and stx 2 ) (including specific detection of E. coli O157), Shigella spp./enteroinvasive E. coli , Cryptosporidium spp., Cyclospora cayetanensis , Entamoeba histolytica , Giardia lamblia , adenovirus F 40/41, astrovirus, norovirus GI/GII, rotavirus A, and sapovirus. Prospectively collected stool specimens ( n = 1,556) were evaluated using the BioFire FilmArray GI Panel and tested with conventional stool culture and molecular methods for comparison. The FilmArray GI Panel sensitivity was 100% for 12/22 targets and ≥94.5% for an additional 7/22 targets. For the remaining three targets, sensitivity could not be calculated due to the low prevalences in this study. The FilmArray GI Panel specificity was ≥97.1% for all panel targets. The FilmArray GI Panel provides a comprehensive, rapid, and streamlined alternative to conventional methods for the etiologic diagnosis of infectious gastroenteritis in the laboratory setting. The potential advantages include improved performance parameters, a more extensive menu of pathogens, and a turnaround time of as short as 1 h.

Overview

Integrity signals

Registry

Crossref · 10.1128/jcm.02674-14

Cites

0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Flagged first, then by citations

Show all 0 references

Research works printed but not linked: 70

  1. 10.1016/S0140-6736(12)60560-1 · DOI · Paper page
  2. 10.1097/MOP.0b013e3282f43067 · DOI
  3. 10.1016/S1471-4922(02)02253-5 · DOI · Paper page
  4. 10.3201/eid1701.P21101 · DOI
  5. 10.1086/526530 · DOI
  6. Centers for Disease Control and Prevention (CDC). 2012. Vital signs: preventing Clostridium difficile infections. MMWR Morb Mortal Wkly Rep 61:157–162.
  7. 10.1016/j.diagmicrobio.2013.07.020 · DOI
  8. 10.1016/j.jhin.2014.02.011 · DOI
  9. 10.1056/NEJMcp031534 · DOI
  10. 10.1093/infdis/jis215 · DOI
  11. Keusch GT, Fontaine O, Bhargava A, Boschi-Pinto C, Bhutta ZA, Gotuzzo E, Rivera J, Chow J, Shahid-Salles S, Laxminarayan R. 2006. Diarrhealdiseases, p. 372. In Jamison DT, Breman JG, Measham AR, Alleyne G, Claeson M, Evans DB, Jha P, Mills A, Musgrove P (ed), Disease control priorities in developing countries, 2nd ed. World Bank, Washington, DC.
  12. 10.1053/j.gastro.2009.02.072 · DOI
  13. 10.1128/JCM.02238-13 · DOI
  14. 10.1097/QCO.0b013e32834aa13a · DOI
  15. 10.1309/EQP21KEMBB6EHG9B · DOI
  16. 10.1128/JCM.02877-13 · DOI
  17. 10.1128/JCM.44.4.1405-1412.2006 · DOI
  18. 10.1128/JCM.42.3.1220-1223.2004 · DOI
  19. 10.1002/jmv.20699 · DOI
  20. 10.1093/biomet/26.4.404 · DOI
  21. 10.1046/j.1365-2672.1999.00474.x · DOI
  22. 10.1128/JCM.01124-10 · DOI
  23. 10.1128/JCM.01637-14 · DOI
  24. 10.1016/S0163-4453(86)94398-7 · DOI
  25. 10.1136/jcp.40.6.702-b · DOI
  26. 10.1128/CMR.11.3.440 · DOI
  27. 10.1086/514957 · DOI
  28. 10.1051/vetres:2005012 · DOI
  29. 10.1128/JCM.39.7.2713-2716.2001 · DOI
  30. 10.1111/1469-0691.12623 · DOI
  31. 10.1128/JCM.39.1.332-334.2001 · DOI
  32. 10.2143/ACB.3170 · DOI
  33. 10.3201/eid2002.121797 · DOI
  34. 10.1016/j.eimc.2012.04.011 · DOI
  35. 10.1016/j.vetpar.2010.04.028 · DOI
  36. 10.1099/jmm.0.034181-0 · DOI
  37. 10.1016/j.diagmicrobio.2011.04.002 · DOI
  38. 10.1016/j.jviromet.2006.12.001 · DOI
  39. 10.1016/j.diagmicrobio.2011.08.023 · DOI
  40. 10.1016/j.jcv.2013.06.022 · DOI
  41. 10.1128/JCM.01925-10 · DOI
  42. 10.3343/alm.2014.34.2.145 · DOI
  43. 10.1097/01.inf.0000183748.41027.a4 · DOI
  44. 10.3201/eid1805.111843 · DOI
  45. 10.1111/j.1469-0691.2009.02846.x · DOI
  46. 10.3201/eid1402.061567 · DOI
  47. 10.1128/JCM.38.3.1058-1062.2000 · DOI
  48. 10.1097/00006454-199010000-00005 · DOI
  49. 10.1017/S0950268811000240 · DOI
  50. 10.1128/CMR.00022-13 · DOI
  51. 10.1128/JCM.02056-13 · DOI
  52. 10.1099/0022-1317-50-8-667 · DOI
  53. 10.1128/JCM.01342-13 · DOI
  54. 10.3201/eid0805.010385 · DOI
  55. 10.1016/j.trstmh.2008.03.017 · DOI
  56. 10.1016/j.jpeds.2004.08.059 · DOI
  57. 10.1097/QCO.0b013e32834a8b8b · DOI
  58. 10.1128/JCM.02199-10 · DOI
  59. 10.1097/MPG.0b013e3181d29767 · DOI
  60. 10.1086/651706 · DOI
  61. 10.1016/S1473-3099(13)70200-7 · DOI
  62. 10.1016/j.anaerobe.2011.01.002 · DOI
  63. Prakash VP, McVeigh L, Williams K, Flores-Cortez EJ, Simmons D, Quilliam D, Rhode Island Department of Health Laboratory, Alexander N, Chapin K. 2014. Utility of a multiplex gastrointestinal panel to aid in epidemiological outbreak investigation of Shigella; abstr. C-1111. 114th Gen Meet Am Soc Microbiol, 17 to 20 May 2014, Boston, MA.
  64. 10.1001/archinte.1985.00360120079013 · DOI
  65. 10.1016/S0140-6736(82)91510-0 · DOI
  66. 10.3201/eid1410.080117 · DOI
  67. 10.1093/clinids/6.3.345 · DOI
  68. 10.1097/00006454-199512000-00003 · DOI
  69. 10.1097/INF.0b013e31819d646d · DOI
  70. 10.1097/00006454-198911000-00009 · DOI

Cited by

Sorted by citations

Items 201–300 of 471

Metadata

Authors
Buss, S. N., Leber, A., Chapin, K., Fey, P. D., Bankowski, M. J., Jones, M. K., Rogatcheva, M., Kanack, K. J., & Bourzac, K. M.
Affiliations
  • University of Nebraska Medical Center (US)
  • Nationwide Children's Hospital (US)
  • Lifespan (US)
  • University of Hawaiʻi at Mānoa (US)
  • BioFire Diagnostics (United States) (US)
Venue
Journal of Clinical Microbiology
Published
2015-03
Volume
53
Issue
3
Pages
915-925
ISSN
  • 0095-1137 (ISSN-L)
  • 1098-660X
OpenAlex
W2169792847
Cited by
554
References
0
Citations by year
2026: 43 · 2025: 46 · 2024: 42 · 2023: 62 · 2022: 43 · 2021: 51 · 2020: 61 · 2019: 41 · 2018: 58 · 2017: 48 · 2016: 39 · 2015: 18
FWCI
42.22
Type
journal article
Language
en
Open access
Locations
  • Journal of Clinical Microbiology (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • BioFire Diagnostics
  • National Institutes of Health
  • National Institute of Allergy and Infectious Diseases (R01AI104593, R01AI089489)
Topics
  • Health Sciences › Medicine › Infectious Diseases › Viral gastroenteritis research and epidemiology
  • Health Sciences › Medicine › Microbiology (medical) › Bacterial Identification and Susceptibility Testing
  • Life Sciences › Agricultural and Biological Sciences › Food Science › Salmonella and Campylobacter epidemiology
Keywords
infectious gastroenteritis, enteric pathogens, multiplex PCR, sensitivity and specificity, diarrheagenic Escherichia coli, norovirus, rotavirus, sapovirus, Cryptosporidium, Giardia lamblia, Shiga toxin-producing Escherichia coli, rapid molecular diagnostics
MeSH terms
Adolescent, Adult, Aged, Aged, 80 and over, Animals, Bacteria, Child, Child, Preschool, Feces, Female, Gastroenteritis, Humans, Infant, Infant, Newborn, Male, Microbiological Techniques, Middle Aged, Parasites, Prospective Studies, Sensitivity and Specificity, Time Factors, Viruses, Molecular Diagnostic Techniques, Young Adult

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review