Evidence map›Paper›PMID 27413189›Full record

ArticleJournal of clinical microbiology2016

The First Fully Automated Molecular Diagnostic Panel for Meningitis and Encephalitis: How Well Does It Perform, and When Should It Be Used?

Kimberly E Hanson

Open access · bronzeAbstract readComment
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 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
4.6field-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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.

  1. Guideline
  2. Article
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  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Impact of cerebrospinal fluid syndromic testing in the management of children with suspected central nervous system infection.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2020
    Article
  14. Review
  15. Article
  16. Observational
  17. Usefulness of FilmArray Meningitis/Encephalitis panel in the management of an uncommon case of Herpes Simplex Virus type 2 meningitis.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2019
    Article
  18. [Meningitis/Encephalitis diagnosis in ICU using Multiplex PCR system: Is it time of change?]Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2019
    Observational
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Kimberly E HansonDepartment of Medicine, Division Infectious Diseases and Department of Pathology, Division of Clinical Microbiology, University of Utah, Salt Lake City, Utah, USA kim.hanson@hsc.utah.edu.
University of Utah · US

Funding

Rapid, automated, detection of viral and bacterial pathogens causing meningitisR43AI104029 · NIAID · BIOFIRE DEFENSE, LLC. · PI HEMMERT, ANDREW · 2013 to 2014
$453k
NIAID NIH HHS R43 AI104029
6 · The paper itself

Abstract

Rapid and accurate molecular diagnostic tests for the most common causes of infectious meningitis and encephalitis have the potential for high clinical impact. In this issue of the Journal of Clinical Microbiology, Leber et al. (J Clin Microbiol 54:2251-2261, 2016, http://dx.doi.org/10.1128/JCM.00730-16) report results from a large clinical study designed to prospectively assess the performance of the FilmArray meningitis/encephalitis panel compared to conventional methods.

Indexed as

MeningitisPathology, MolecularEncephalitisHumansMolecular Diagnostic Techniques

Identifiers

PMID27413189
PMCPMC5005496
OpenAlexW2470624157

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.