Evidence map›Paper›PMID 16455927›Full record

ArticleJournal of clinical microbiology2006

High interlaboratory reproducibility of DNA sequence-based typing of bacteria in a multicenter study.

M Aires-de-Sousa, K Boye, H de Lencastre, A Deplano, M C Enright, J Etienne, A Friedrich, D Harmsen, A Holmes, X W Huijsdens and 13 more

Abstract readEvaluation StudyMulticenter Study
In one paragraph

Article in Journal of clinical microbiology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 98 papers.

0numbers the graph read from it
0cells of the map it votes in
98citing 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

98 citing papers in PubMed.

  1. Trial
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  3. NasalInternational journal of molecular sciences · 2026
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  6. Molecular Epidemiologic and Geo-Spatial Characterization ofAntibiotics (Basel, Switzerland) · 2023
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  9. Staphylococcus nasal colonization in three species of non-human primates.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2023
    Article
  10. Gausemycin A-ResistantMicroorganisms · 2023
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  11. In Vivo Pathogenicity of Methicillin-SusceptibleLife (Basel, Switzerland) · 2022
    Article
  12. Article
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  14. Molecular Characterization ofMicroorganisms · 2021
    Article
  15. Toxins · 2021
    Article
  16. Distribution and antibiotic-resistance of differentJournal of oral microbiology · 2021
    Article
  17. Article
  18. Article
  19. Article
  20. Article

38 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

23 authors.

M Aires-de-SousaDepartment of Periodontology, University Hospital Münster, Waldeyerstrasse 30, D-48149 Münster, Germany.
K Boye
H de Lencastre
A Deplano
M C Enright
J Etienne
A Friedrich
D Harmsen
A Holmes
X W Huijsdens
A M Kearns
A Mellmann
H Meugnier
J K Rasheed
E Spalburg
B Strommenger
M J Struelens
F C Tenover
J Thomas
U Vogel
H Westh
J Xu
W Witte

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current DNA amplification-based typing methods for bacterial pathogens often lack interlaboratory reproducibility. In this international study, DNA sequence-based typing of the Staphylococcus aureus protein A gene (spa, 110 to 422 bp) showed 100% intra- and interlaboratory reproducibility without extensive harmonization of protocols for 30 blind-coded S. aureus DNA samples sent to 10 laboratories. Specialized software for automated sequence analysis ensured a common typing nomenclature.

Indexed as

Bacterial Typing TechniquesSequence Analysis, DNADNA, BacterialHumansLaboratoriesObserver VariationReproducibility of ResultsSoftwareStaphylococcal InfectionsStaphylococcal Protein AStaphylococcus aureusDNA, BacterialStaphylococcal Protein A

Identifiers

PMID16455927
PMCPMC1392649

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.