Evidence map›Paper›PMID 17728469›Full record

ArticleJournal of clinical microbiology2007

Microbiological evaluation of the new VITEK 2 Neisseria-Haemophilus identification card.

Giuseppe Valenza, Claudia Ruoff, Ulrich Vogel, Matthias Frosch, Marianne Abele-Horn

Open access · greenAbstract read
In one paragraph

Article in Journal of clinical microbiology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

16 citing papers in PubMed, 53 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Prevalence of ThermotolerantFood technology and biotechnology · 2016
    Article
  6. Article
  7. Review
  8. Kingella kingae: carriage, transmission, and disease.Clinical microbiology reviews · 2015
    Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Identification of blood and wound isolates of C. canimorsus and C. cynodegmi using VITEK2 and MALDI-TOF.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2012
    Article
  15. Article
  16. 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

5 authors at 1 institution in 1 country.

Giuseppe ValenzaInstitute of Hygiene and Microbiology, University of Würzburg, Josef-Schneider-Str 2/E1, 97080, Würzburg, Germany. gvalenza@hygiene.uni-wuerzburg.de
Claudia Ruoff
Ulrich Vogel
Matthias Frosch
Marianne Abele-Horn
University of Würzburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

VITEK 2 is an automated identification system for diverse bacterial and fungal species. A new card (the Neisseria-Haemophilus [NH] card) for the identification of Neisseria spp., Haemophilus spp., and other fastidious gram-negative or gram-variable microorganisms has been developed, but its performance in a routine clinical laboratory has not yet been evaluated. In this study, a total of 188 bacterial strains belonging to the genera Actinobacillus, Campylobacter, Capnocytophaga, Cardiobacterium, Eikenella, Gardnerella, Haemophilus, Kingella, Moraxella, and Neisseria were investigated. The NH card was able to identify 171 strains (91%) correctly without the need for extra tests; one strain (0.5%) was misidentified, and five strains (2.7%) could not be classified. Eleven strains (5.8%) were identified with a low level of discrimination, and simple additional tests were required to increase the correct-identification rate to 96.8%. The results were available within 6 h. Based on these results, the new VITEK 2 NH card appears to be a good method for the identification of diverse groups of fastidious organisms, which would otherwise require testing with multiple systems. However, more work is needed to evaluate the performance of VITEK 2 with regard to Haemophilus, Actinobacillus, Cardiobacterium, Eikenella, and Kingella bacteria because of the insufficient number of strains tested in this study. Moreover, further reduction of the detection time would be desirable.

Indexed as

Bacterial Typing TechniquesGram-Negative BacteriaHaemophilusNeisseriaTime Factors

Identifiers

PMID17728469
PMCPMC2168501
OpenAlexW2081800304

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.