Evidence map›Paper›PMID 27098961›Full record

ArticleJournal of clinical microbiology2016

Clinical Impact of Laboratory Implementation of Verigene BC-GN Microarray-Based Assay for Detection of Gram-Negative Bacteria in Positive Blood Cultures.

Tamar Walker, Sandrea Dumadag, Christine Jiyoun Lee, Seung Heon Lee, Jeffrey M Bender, Jennifer Cupo Abbott, Rosemary C She

Abstract read
In one paragraph

Article in Journal of clinical microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 4 pooled it
–field-weighted citation impact
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

68 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Guideline
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Article
  7. [Requirements for the rational use of antibiotics based on antibiotic stewardship].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2026
    Review
  8. Article
  9. 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
  10. Article
  11. Article
  12. Article
  13. Observational
  14. Article
  15. Review
  16. Performance evaluation of the Streck ARM-DJournal of global antimicrobial resistance · 2024
    Article
  17. Review
  18. Article
  19. Article
  20. Article

8 more citing papers are in PubMed but not listed here.

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

7 authors.

Tamar WalkerDepartment of Pathology, Keck School of Medicine of the University of Southern California, Los Angeles, California, USA.
Sandrea DumadagUniversity of Southern California School of Pharmacy, Los Angeles, California, USA.
Christine Jiyoun LeeUniversity of Southern California School of Pharmacy, Los Angeles, California, USA.
Seung Heon LeeDepartment of Pathology, Keck School of Medicine of the University of Southern California, Los Angeles, California, USA.
Jeffrey M BenderDepartment of Pediatrics, Keck School of Medicine of the University of Southern California, Los Angeles, California, USA.
Jennifer Cupo AbbottUniversity of Southern California School of Pharmacy, Los Angeles, California, USA.
Rosemary C SheDepartment of Pathology, Keck School of Medicine of the University of Southern California, Los Angeles, California, USA rosemary.she@med.usc.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gram-negative bacteremia is highly fatal, and hospitalizations due to sepsis have been increasing worldwide. Molecular tests that supplement Gram stain results from positive blood cultures provide specific organism information to potentially guide therapy, but more clinical data on their real-world impact are still needed. We retrospectively reviewed cases of Gram-negative bacteremia in hospitalized patients over a 6-month period before (n = 98) and over a 6-month period after (n = 97) the implementation of a microarray-based early identification and resistance marker detection system (Verigene BC-GN; Nanosphere) while antimicrobial stewardship practices remained constant. Patient demographics, time to organism identification, time to effective antimicrobial therapy, and other key clinical parameters were compared. The two groups did not differ statistically with regard to comorbid conditions, sources of bacteremia, or numbers of intensive care unit (ICU) admissions, active use of immunosuppressive therapy, neutropenia, or bacteremia due to multidrug-resistant organisms. The BC-GN panel yielded an identification in 87% of Gram-negative cultures and was accurate in 95/97 (98%) of the cases compared to results using conventional culture. Organism identifications were achieved more quickly post-microarray implementation (mean, 10.9 h versus 37.9 h; P < 0.001). Length of ICU stay, 30-day mortality, and mortality associated with multidrug-resistant organisms were significantly lower in the postintervention group (P < 0.05). More rapid implementation of effective therapy was statistically significant for postintervention cases of extended-spectrum beta-lactamase-producing organisms (P = 0.049) but not overall (P = 0.12). The Verigene BC-GN assay is a valuable addition for the early identification of Gram-negative organisms that cause bloodstream infections and can significantly impact patient care, particularly when resistance markers are detected.

Indexed as

Blood CultureAdultAgedAged, 80 and overBacteremiaEarly DiagnosisFemaleGram-Negative BacteriaGram-Negative Bacterial InfectionsHumansMaleMicroarray AnalysisMiddle AgedMolecular Diagnostic TechniquesRetrospective StudiesSecondary Prevention

Identifiers

PMID27098961
PMCPMC4922078

What OpenQuestion holds

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Registered trials

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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.