Evidence map›Paper›PMID 39599473›Full record

ArticlePathogens (Basel, Switzerland)2024

Investigation of the Antimicrobial Resistance of Important Pathogens Isolated from Poultry from 2015 to 2023 in the United States.

Asher T Wang, Liya Tang, Andrew Gao, Ethan Zhang, Grace Huang, Justin Shen, Qian Jia, Zuyi Huang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Pathogens (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. 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

8 authors.

Asher T WangDepartment of Chemical and Biological Engineering, Villanova University, Villanova, PA 19341, USA.ORCID 0009-0001-8182-7848
Liya TangDepartment of Chemical and Biological Engineering, Villanova University, Villanova, PA 19341, USA.
Andrew GaoDepartment of Chemical and Biological Engineering, Villanova University, Villanova, PA 19341, USA.
Ethan ZhangDepartment of Chemical and Biological Engineering, Villanova University, Villanova, PA 19341, USA.
Grace HuangDepartment of Chemical and Biological Engineering, Villanova University, Villanova, PA 19341, USA.
Justin ShenDepartment of Chemical and Biological Engineering, Villanova University, Villanova, PA 19341, USA.
Qian JiaDepartment of Health, Nutrition and Exercise Sciences, Immaculata University, Immaculata, PA 19345, USA.
Zuyi HuangDepartment of Chemical and Biological Engineering, Villanova University, Villanova, PA 19341, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Foodborne pathogens cause around 47.8 million illnesses in the U.S. annually, with antimicrobial misuse in food production, particularly in poultry processing, contributing significantly to this public health challenge. Misuse of antimicrobials can contribute to antimicrobial resistance (AMR) and make the treatment of pathogens increasingly difficult. This emphasizes the need to investigate antimicrobial resistance in U.S. poultry. This study analyzes data from the NCBI Pathogen Isolates Browser (2015-2023) to explore the relationships between antimicrobial-resistant pathogens, AMR genes, and antimicrobials detected with resistance in pathogens isolated from chicken and turkey. Using principal component analysis and hierarchical clustering, we mapped and profiled regional and temporal patterns of antimicrobial resistance.

Indexed as

Anti-Bacterial AgentsChickensDrug Resistance, BacterialTurkeysAnimalsCampylobacter jejuniEscherichia coliFoodborne DiseasesMicrobial Sensitivity TestsPoultryPoultry DiseasesSalmonella entericaShigellaUnited StatesAnti-Bacterial Agentsantimicrobial resistanceantimicrobial resistance geneschickenfoodborne pathogenshierarchical clusteringpoultryprincipal component analysispublic healthtime profilesturkey

Identifiers

PMID39599473
PMCPMC11597794

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.