Evidence map›Paper›PMID 25972424›Full record

ArticleJournal of clinical microbiology2015

Comparison of Inoculation with the InoqulA and WASP Automated Systems with Manual Inoculation.

Antony Croxatto, Klaas Dijkstra, Guy Prod'hom, Gilbert Greub

Open access · bronzeAbstract readComparative StudyEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
5.0field-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

22 citing papers in PubMed, 62 citations in OpenAlex.

  1. Trial
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  11. Review
  12. Article
  13. Impact of total laboratory automation on workflow and specimen processing time for culture of urine specimens.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2018
    Article
  14. Laboratory Automation in Clinical Microbiology.Bioengineering (Basel, Switzerland) · 2018
    Review
  15. Efficient processing of MRSA screening specimens by a modified inoculation protocol.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2018
    Article
  16. Detection of MRSA in nasal swabs-marked reduction of time to report for negative reports by substituting classical manual workflow with total lab automation.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2018
    Article
  17. Article
  18. Article
  19. Automated direct screening for resistance of Gram-negative blood cultures using the BD Kiestra WorkCell.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2018
    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 2 institutions in 2 countries.

Antony CroxattoInstitute of Microbiology, Laboratory Department, University Hospital Center and University of Lausanne, Lausanne, Switzerland.
Klaas DijkstraCentre of Expertise in Computer Vision, NHL University of Applied Sciences, Leeuwarden, The Netherlands.
Guy Prod'homInstitute of Microbiology, Laboratory Department, University Hospital Center and University of Lausanne, Lausanne, Switzerland.
Gilbert GreubInstitute of Microbiology, Laboratory Department, University Hospital Center and University of Lausanne, Lausanne, Switzerland gilbert.greub@chuv.ch.
University of Lausanne · CHNHL University of Applied Sciences · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The quality of sample inoculation is critical for achieving an optimal yield of discrete colonies in both monomicrobial and polymicrobial samples to perform identification and antibiotic susceptibility testing. Consequently, we compared the performance between the InoqulA (BD Kiestra), the WASP (Copan), and manual inoculation methods. Defined mono- and polymicrobial samples of 4 bacterial species and cloudy urine specimens were inoculated on chromogenic agar by the InoqulA, the WASP, and manual methods. Images taken with ImagA (BD Kiestra) were analyzed with the VisionLab version 3.43 image analysis software to assess the quality of growth and to prevent subjective interpretation of the data. A 3- to 10-fold higher yield of discrete colonies was observed following automated inoculation with both the InoqulA and WASP systems than that with manual inoculation. The difference in performance between automated and manual inoculation was mainly observed at concentrations of >10(6) bacteria/ml. Inoculation with the InoqulA system allowed us to obtain significantly more discrete colonies than the WASP system at concentrations of >10(7) bacteria/ml. However, the level of difference observed was bacterial species dependent. Discrete colonies of bacteria present in 100- to 1,000-fold lower concentrations than the most concentrated populations in defined polymicrobial samples were not reproducibly recovered, even with the automated systems. The analysis of cloudy urine specimens showed that InoqulA inoculation provided a statistically significantly higher number of discrete colonies than that with WASP and manual inoculation. Consequently, the automated InoqulA inoculation greatly decreased the requirement for bacterial subculture and thus resulted in a significant reduction in the time to results, laboratory workload, and laboratory costs.

Indexed as

Automation, LaboratoryBacteriaBacterial InfectionsBacteriological TechniquesHumansImage Processing, Computer-AssistedSpecimen HandlingTime Factors

Identifiers

PMID25972424
PMCPMC4473203
OpenAlexW1561868588

What OpenQuestion holds

Textmetadata
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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.