Evidence map›Paper›PMID 35564901›Full record

ArticleInternational journal of environmental research and public health2022

Investigation of Antimicrobial Resistance Genes in Listeria monocytogenes from 2010 through to 2021

Robert M Hanes, Zuyi Huang

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
6.4field-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

33 citing papers in PubMed, 47 citations in OpenAlex.

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  11. Foods (Basel, Switzerland) · 2025
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  12. High-Pressure Processing Influences Antibiotic Resistance Gene Transfer inInternational journal of molecular sciences · 2024
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  17. Whole Genome Sequence Analysis ofMicroorganisms · 2024
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  18. Genomic Characterization ofMicroorganisms · 2024
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  19. Review
  20. Surveillance and genetic characterization ofFrontiers in microbiology · 2024
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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

2 authors at 1 institution in 1 country.

Robert M HanesDepartment of Chemical Engineering, Villanova University, Villanova, PA 19085, USA.
Zuyi HuangDepartment of Chemical Engineering, Villanova University, Villanova, PA 19085, USA.
Villanova University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial resistance (AMR) is a serious public health issue. Due to resistance to current antibiotics and a low rate of development of new classes of antimicrobials, AMR is a leading cause of death worldwide. Listeria monocytogenes is a deadly foodborne pathogen that causes listeriosis for the immunocompromised, the elderly, and pregnant women. Unfortunately, antimicrobial resistance has been reported in L. monocytogenes. This study conducted the first comprehensive statistical analysis of L. monocytogenes isolate data from the National Pathogen Detection Isolate Browser (NPDIB) to identify the trends for AMR genes in L. monocytogenes. Principal component analysis was firstly used to project the multi-dimensional data into two dimensions. Hierarchical clustering was then used to identify the significant AMR genes found in L. monocytogenes samples and to assess changes during the period from 2010 through to 2021. Statistical analysis of the data identified fosX, lin, abc-f, and tet(M) as the four most common AMR genes found in L. monocytogenes. It was determined that there was no increase in AMR genes during the studied time period. It was also observed that the number of isolates decreased from 2016 to 2020. This study establishes a baseline for the ongoing monitoring of L. monocytogenes for AMR genes.

Indexed as

ListeriaListeria monocytogenesListeriosisAgedAnti-Bacterial AgentsDrug Resistance, BacterialFemaleFood MicrobiologyHumansPregnancyAnti-Bacterial Agentsantimicrobial resistancehierarchical clusteringListeria monocytogeneslisteriosisprincipal component analysis

Identifiers

PMID35564901
PMCPMC9099560
OpenAlexW4225252881

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.