Evidence map›Paper›PMID 31779615›Full record

ArticleAnnals of clinical microbiology and antimicrobials2019

Determination of antimicrobial susceptibility and biofilm production in Staphylococcus aureus isolated from white coats of health university students.

Isabela Rotta Batista, Amanda Caroline Lima Prates, Bruna de Souza Santos, Josimara Cristina Carvalho Araújo, Yan Christian de Oliveira Bonfim, Marcus Vinícius Pimenta Rodrigues, Glilciane Morceli, Jossimara Polettini, Andressa Cortes Cavalleri, Lizziane Kretli Winkelstroter and 1 more

Abstract read
In one paragraph

Article in Annals of clinical microbiology and antimicrobials, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Presence of Methicillin-ResistantTropical medicine and infectious disease · 2021
    Review
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

11 authors.

Isabela Rotta BatistaUniversidade do Oeste Paulista - UNOESTE, Rua José Bongiovani, 700 - Cidade Universitária, Presidente Prudente, SP, CEP 19050-920, Brazil.
Amanda Caroline Lima PratesUniversidade do Oeste Paulista - UNOESTE, Rua José Bongiovani, 700 - Cidade Universitária, Presidente Prudente, SP, CEP 19050-920, Brazil.
Bruna de Souza SantosUniversidade do Oeste Paulista - UNOESTE, Rua José Bongiovani, 700 - Cidade Universitária, Presidente Prudente, SP, CEP 19050-920, Brazil.
Josimara Cristina Carvalho AraújoUniversidade do Oeste Paulista - UNOESTE, Rua José Bongiovani, 700 - Cidade Universitária, Presidente Prudente, SP, CEP 19050-920, Brazil.
Yan Christian de Oliveira BonfimUniversidade do Oeste Paulista - UNOESTE, Rua José Bongiovani, 700 - Cidade Universitária, Presidente Prudente, SP, CEP 19050-920, Brazil.
Marcus Vinícius Pimenta RodriguesUniversidade do Oeste Paulista - UNOESTE, Rua José Bongiovani, 700 - Cidade Universitária, Presidente Prudente, SP, CEP 19050-920, Brazil.
Glilciane MorceliUniversidade do Oeste Paulista - UNOESTE, Rua José Bongiovani, 700 - Cidade Universitária, Presidente Prudente, SP, CEP 19050-920, Brazil.
Jossimara PolettiniUniversidade do Oeste Paulista - UNOESTE, Rua José Bongiovani, 700 - Cidade Universitária, Presidente Prudente, SP, CEP 19050-920, Brazil.
Andressa Cortes CavalleriUniversidade do Oeste Paulista - UNOESTE, Rua José Bongiovani, 700 - Cidade Universitária, Presidente Prudente, SP, CEP 19050-920, Brazil.
Lizziane Kretli WinkelstroterUniversidade do Oeste Paulista - UNOESTE, Rua José Bongiovani, 700 - Cidade Universitária, Presidente Prudente, SP, CEP 19050-920, Brazil.
Valéria Cataneli PereiraUniversidade do Oeste Paulista - UNOESTE, Rua José Bongiovani, 700 - Cidade Universitária, Presidente Prudente, SP, CEP 19050-920, Brazil. valeriacataneli@gmail.com.ORCID http://orcid.org/0000-0003-2080-9221

Funding

Fundação de Amparo à Pesquisa do Estado de São Paulo 2016/12252-2Fundação de Amparo à Pesquisa do Estado de São Paulo 2016/15809-8
6 · The paper itself

Abstract

This study aimed at detecting Staphylococcus aureus from white coats of college students and characterizing antimicrobial susceptibility and biofilm production. Bacterial samples (n = 300) were obtained from white coats of 100 college students from August 2015 to March 2017 S. aureus was isolated and it´s resistance profile was assessed by antimicrobial disk-diffusion technique, screening for methicillin-resistant Staphylococcus aureus (MRSA), detection of mecA gene by PCR, and determination of staphylococcal cassette chromosome mec (SCCmec) by multiplex PCR. Congo red agar (CRA) and icaA and icaD genes by PCR were used for biofilm characterization. S. aureus was identified in 45.0% of samples. Resistance of S. aureus sample to antimicrobial was seen for penicillin (72.59%), erythromycin (51.85%), cefoxitin (20.74%), oxacillin (17.04%), clindamycin (14.81%) and levofloxacin (5.18%). MRSA was detected in 53.3% of the samples with SCCmec I (52.8%), SCCmec III (25%) and SCCmec IV (11.1%). Biofilm production was observed in 94.0% S. aureus samples. These data show that biosafety measures need to be enhanced in order to prevent dissemination of multiresistant and highly adhesive bacteria across other university settings, relatives, and close persons.

Indexed as

Anti-Bacterial AgentsBacterial ProteinsBiofilmsContainment of BiohazardsGenes, BacterialHumansMethicillin-Resistant Staphylococcus aureusMicrobial Sensitivity TestsPenicillin-Binding ProteinsProtective ClothingStaphylococcus aureusStudentsUniversitiesAnti-Bacterial AgentsBacterial ProteinsmecA protein, Staphylococcus aureusPenicillin-Binding ProteinsBiofilmMRSAS. aureusWhite coats

Identifiers

PMID31779615
PMCPMC6883624

What OpenQuestion holds

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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.