Evidence map›Paper›PMID 31936874›Full record

ArticleInternational journal of environmental research and public health2020

Investigation of Incidents and Trends of Antimicrobial Resistance in Foodborne Pathogens in Eight Countries from Historical Sample Data.

Katherine Yang, Annie Wang, Matthew Fu, Aaron Wang, Kevin Chen, Qian Jia, Zuyi Huang

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Microorganisms · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Investigation of Antimicrobial Resistance Genes in Listeria monocytogenes from 2010 through to 2021International journal of environmental research and public health · 2022
    Article
  15. Article
  16. Article
  17. 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.

Katherine YangDepartment of Chemical Engineering, Villanova University, Villanova, PA 19085, USA.
Annie WangDepartment of Chemical Engineering, Villanova University, Villanova, PA 19085, USA.
Matthew FuDepartment of Chemical Engineering, Villanova University, Villanova, PA 19085, USA.
Aaron WangDepartment of Chemical Engineering, Villanova University, Villanova, PA 19085, USA.
Kevin ChenDepartment of Chemical Engineering, Villanova University, Villanova, PA 19085, USA.
Qian JiaDepartment of Health, Nutrition & Exercise Sciences, Immaculata University, Immaculata, PA 19345, USA.
Zuyi HuangDepartment of Chemical Engineering, Villanova University, Villanova, PA 19085, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial resistance (AMR) causes millions of illnesses every year, threatening the success of lifesaving antibiotic therapy and, thus, public health. To examine the rise and spread of antimicrobial resistance around the world, our study performs a multivariate statistical analysis of antimicrobial resistance gene data from eight different countries: the US, the UK, China, Brazil, Mexico, Canada, Australia, and South Africa. Multi-dimensional data points were projected onto a two-dimensional plane using principal component analysis and organized into a dendrogram utilizing hierarchical clustering to identify significant AMR genes and pathogens. Outlier genes/pathogens were typically involved in high occurrences of antimicrobial resistance, and they were able to indicate the trend of antimicrobial resistance in the future. Statistical analysis of the data identified: (1) tet(A), aph(3'')-Ib, aph(6)-Id, blaEC, blaTEM-1, qacEdelta1, sul1, sul2, and aadA1 as the nine most common AMR genes among the studied countries; (2) Salmonella enterica and E. coli and Shigella as the most common AMR foodborne pathogens; and (3) chicken as the most prevalent meat carrier of antimicrobial resistance. Our study shows that the overall number of reported antimicrobial resistance cases in foodborne pathogens is generally rising. One potential contributing factor for this is the increasing antimicrobial usage in the growing livestock industry.

Indexed as

BacteriaDrug Resistance, BacterialAnimalsAnti-Bacterial AgentsChickensFood MicrobiologyHumansMeatMicrobial Sensitivity TestsAnti-Bacterial Agentsantimicrobial resistancefoodborne pathogenshierarchical clusteringprincipal component analysis

Identifiers

PMID31936874
PMCPMC7014410

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.