ArticleEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2012
Restriction modification (RM) tests associated to additional molecular markers for screening prevalent MRSA clones in Brazil.
Article in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The trial behind it
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Who cites it
6 citing papers in PubMed.
- RdJ detection tests to identify a unique MRSA clone of ST105-SCCFrontiers in microbiology · 2023Article
- High frequency of increased triclosan MIC among CC5 MRSA and risk of misclassification of the SCCmec into types.The Journal of antimicrobial chemotherapy · 2022Article
- Comparative genomics of MRSA strains from human and canine origins reveals similar virulence gene repertoire.Scientific reports · 2021Article
- Multidrug-Resistant Methicillin-Resistant Staphylococcus aureus Associated with Bacteremia and Monocyte Evasion, Rio de Janeiro, Brazil.Emerging infectious diseases · 2021Article
- The History of Methicillin-ResistantThe Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2020Review
- Article
Corrections and comments
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Authors and funding
9 authors.
Funding
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Abstract
In this study, we associated the restriction modification (RM) tests to the polymerase chain reaction (PCR) detection of molecular markers (SCCmec III, seh, agr II-SCCmec IV, and lukSF) for revealing the main methicillin-resistant Staphylococcus aureus (MRSA) clones circulating in Brazil. This simple and rapid approach allowed a precise classification of the MRSA analyzed when compared with pulsed-field gel electrophoresis (PFGE) data.
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Registered trials
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.