Evidence map›Paper›PMID 36936767›Full record

ArticleFrontiers in cellular and infection microbiology2023

Prevalence, multiple antibiotic resistance and virulence profile of methicillin-resistant

Etinosa O Igbinosa, Abeni Beshiru, Isoken H Igbinosa, Abraham G Ogofure, Temitope C Ekundayo, Anthony I Okoh

Open access · goldFull text read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
7.6field-weighted citation impact, top 2% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. Pooled it
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  13. Genetic Characterization of Antibiotic-ResistantAntibiotics (Basel, Switzerland) · 2024
    Article
  14. Microbiological and Molecular Investigation of Antimicrobial Resistance inAnimals : an open access journal from MDPI · 2024
    Article
  15. Article
  16. Molecular detection of multidrug and methicillin resistance inOne health (Amsterdam, Netherlands) · 2024
    Article
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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

6 authors at 4 institutions in 3 countries.

Etinosa O IgbinosaApplied Microbial Processes and Environmental Health Research Group, Faculty of Life Sciences, University of Benin, Benin City, Nigeria.
Abeni BeshiruApplied Microbial Processes and Environmental Health Research Group, Faculty of Life Sciences, University of Benin, Benin City, Nigeria.
Isoken H IgbinosaApplied Microbial Processes and Environmental Health Research Group, Faculty of Life Sciences, University of Benin, Benin City, Nigeria.
Abraham G OgofureApplied Microbial Processes and Environmental Health Research Group, Faculty of Life Sciences, University of Benin, Benin City, Nigeria.
Temitope C EkundayoSouth African Medical Research Council (SAMRC) Microbial Water Quality Monitoring Centre, University of Fort Hare, Alice, Eastern Cape, South Africa.
Anthony I OkohSouth African Medical Research Council (SAMRC) Microbial Water Quality Monitoring Centre, University of Fort Hare, Alice, Eastern Cape, South Africa.
Stellenbosch University · ZAUniversity of Benin · NGSouth African Medical Research Council · ZAUniversity of Medical Sciences, Ondo

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Methods: A total of 368 poultry meat samples were assessed for MRSA using a standard culture-based approach and characterized further using a molecular method. The antimicrobial susceptibility profile of the isolates was determined using the disc diffusion method. The biofilm profile of the isolates was assayed via the crystal violet microtitre-plate method. Virulence and antimicrobial resistance genes were screened using polymerase chain reaction via specific primers. Results: Of the samples tested, 110 (29.9%) were positive for MRSA. All the isolates were positive for deoxyribonuclease (DNase), coagulase and beta-hemolysis production. Biofilm profile revealed 27 (24.55%) weak biofilm formers, 18 (16.36%) moderate biofilm formers, and 39 (35.45%) strong biofilm formers. The isolates harboured 2 and ≤17 virulence genes. Enterotoxin gene profiling revealed that 100 (90.9%) isolates harboured one or more genes. Resistance against the tested antibiotics followed the order: tetracycline 64(58.2%), ciprofloxacin 71(64.6%), trimethoprim 71(64.6%) and rifampin 103(93.6%). A total of 89 isolates were multidrug-resistant, while 3 isolates were resistant to all 22 antibiotics tested. The isolates harboured antimicrobial-resistant determinants such as methicillin-resistant gene ( Conclusion: In conclusion,

Indexed as

Anti-Infective AgentsMethicillin-Resistant Staphylococcus aureusStaphylococcal InfectionsAnimalsAnti-Bacterial AgentsDrug Resistance, MicrobialMeatMicrobial Sensitivity TestsNigeriaPoultryPrevalenceStaphylococcusStaphylococcus aureusVirulenceAnti-Bacterial AgentsAnti-Infective Agentsbiofilm formationcassette chromosomesenterotoxinresistant determinantsvirulence

Identifiers

PMID36936767
PMCPMC10017849
OpenAlexW4322772758

What OpenQuestion holds

Textfull text, public
LicenceCC BY
reference markers read19
measurements read199
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.