Evidence map›Paper›PMID 27496125›Full record

ArticleAnnals of clinical microbiology and antimicrobials2016

Comparison of methods for the identification of microorganisms isolated from blood cultures.

Aydir Cecília Marinho Monteiro, Carlos Magno Castelo Branco Fortaleza, Adriano Martison Ferreira, Ricardo de Souza Cavalcante, Alessandro Lia Mondelli, Eduardo Bagagli, Maria de Lourdes Ribeiro de Souza da Cunha

Abstract readComparative Study
In one paragraph

Article in Annals of clinical microbiology and antimicrobials, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Electronic nose versus VITEK 2 system for the rapid diagnosis of bloodstream infections.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2023
    Article
  7. Article
  8. Article
  9. Detection of multidrug-resistantVeterinary world · 2021
    Article
  10. Article
  11. Article
  12. 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

7 authors.

Aydir Cecília Marinho MonteiroDepartamento de Microbiologia e Imunologia, Instituto de Biociências de Botucatu, UNESP-Univ. Estadual Paulista, Distrito de Rubião Junior, s/n, Botucatu, SP, CEP: 18618-970, Brazil.
Carlos Magno Castelo Branco FortalezaDepartamento de Doenças Tropicais, Faculdade de Medicina de Botucatu, UNESP-Univ. Estadual Paulista, Distrito de Rubião Junior, s/n, Botucatu, SP, CEP: 18618-970, Brazil.
Adriano Martison FerreiraLaboratório de Análises Clínicas do Hospital das Clínicas de Botucatu, Faculdade de Medicina de Botucatu, UNESP-Univ. Estadual Paulista, Distrito de Rubião Junior, s/n, Botucatu, SP, CEP: 18618-970, Brazil.
Ricardo de Souza CavalcanteComissão de Controle de Infecção Relacionada à Assistência à Saúde, Hospital das Clínicas, Faculdade de Medicina de Botucatu, UNESP-Univ. Estadual Paulista, Distrito de Rubião Junior, s/n, Botucatu, SP, CEP: 18618-970, Brazil.
Alessandro Lia MondelliDepartamento de Clínica Médica, Faculdade de Medicina de Botucatu, UNESP-Univ. Estadual Paulista, Distrito de Rubião Junior, s/n, Botucatu, SP, CEP: 18618-970, Brazil.
Eduardo BagagliDepartamento de Microbiologia e Imunologia, Instituto de Biociências de Botucatu, UNESP-Univ. Estadual Paulista, Distrito de Rubião Junior, s/n, Botucatu, SP, CEP: 18618-970, Brazil.
Maria de Lourdes Ribeiro de Souza da CunhaDepartamento de Microbiologia e Imunologia, Instituto de Biociências de Botucatu, UNESP-Univ. Estadual Paulista, Distrito de Rubião Junior, s/n, Botucatu, SP, CEP: 18618-970, Brazil. cunhamlr@ibb.unresp.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBloodstream infections are responsible for thousands of deaths each year. The rapid identification of the microorganisms causing these infections permits correct therapeutic management that will improve the prognosis of the patient. In an attempt to reduce the time spent on this step, microorganism identification devices have been developed, including the VITEK(®) 2 system, which is currently used in routine clinical microbiology laboratories.

methodsThis study evaluated the accuracy of the VITEK(®) 2 system in the identification of 400 microorganisms isolated from blood cultures and compared the results to those obtained with conventional phenotypic and genotypic methods. In parallel to the phenotypic identification methods, the DNA of these microorganisms was extracted directly from the blood culture bottles for genotypic identification by the polymerase chain reaction (PCR) and DNA sequencing.

resultsThe automated VITEK(®) 2 system correctly identified 94.7 % (379/400) of the isolates. The YST and GN cards resulted in 100 % correct identifications of yeasts (15/15) and Gram-negative bacilli (165/165), respectively. The GP card correctly identified 92.6 % (199/215) of Gram-positive cocci, while the ANC card was unable to correctly identify any Gram-positive bacilli (0/5).

conclusionsThe performance of the VITEK(®) 2 system was considered acceptable and statistical analysis showed that the system is a suitable option for routine clinical microbiology laboratories to identify different microorganisms.

Indexed as

Automation, LaboratoryBacterial Typing TechniquesBlood CultureDNA, BacterialDNA, FungalDNA PrimersFungiGram-Negative BacteriaGram-Positive BacteriaHumansPolymerase Chain ReactionSensitivity and SpecificitySequence Analysis, DNADNA, BacterialDNA, FungalDNA PrimersAutomated VITEK® 2 systemBlood cultureGenotypic identificationPhenotypic identification

Identifiers

PMID27496125
PMCPMC4974807

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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.