Evidence map›Paper›PMID 32351993›Full record

ArticleBioMed research international2020

Comparison of Antimicrobial Resistance Detected in Environmental and Clinical Isolates from Historical Data for the US.

Megan Hua, William Huang, Albert Chen, Michael Rehmet, Cade Jin, Zuyi Huang

Abstract readComparative Study
In one paragraph

Article in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Comprehensive Genomic Characterization of a Drug-ResistantIranian journal of medical sciences · 2025
    Article
  3. Review
  4. Agriculturally Sourced Multidrug-ResistantPathogens (Basel, Switzerland) · 2025
    Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Spread and Molecular Characteristics ofMicrobiology spectrum · 2022
    Article
  11. Investigation of Antimicrobial Resistance Genes in Listeria monocytogenes from 2010 through to 2021International journal of environmental research and public health · 2022
    Article
  12. Article
  13. Article
  14. Review
  15. Mobile Colistin Resistance GeneMicroorganisms · 2021
    Article
  16. 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

6 authors.

Megan HuaDepartment of Chemical Engineering, Villanova University, Villanova, PA 19085, USA.
William HuangDepartment of Chemical Engineering, Villanova University, Villanova, PA 19085, USA.
Albert ChenDepartment of Chemical Engineering, Villanova University, Villanova, PA 19085, USA.
Michael RehmetDepartment of Chemical Engineering, Villanova University, Villanova, PA 19085, USA.
Cade JinDepartment of Chemical Engineering, Villanova University, Villanova, PA 19085, USA.
Zuyi HuangDepartment of Chemical Engineering, Villanova University, Villanova, PA 19085, USA.ORCID https://orcid.org/0000-0002-1393-2961

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial resistance (AMR) has become an urgent public health issue, as pathogens are becoming increasingly resistant to commonly used antimicrobials. While AMR isolate data are available in the NCBI Pathogen Detection Isolates Browser (NPDIB) database, few researches have been performed to compare antimicrobial resistance detected in environmental and clinical isolates. To address this, this work conducted the first multivariate statistical analysis of antimicrobial-resistance pathogens detected in NPDIB clinical and environmental isolates for the US from 2013 to 2018. The highly occurring AMR genes and pathogens were identified for both clinical and environmental settings, and the historical profiles of those genes and pathogens were then compared for the two settings. It was found that

Indexed as

Escherichia coliSalmonella entericaShigellaDrug Resistance, BacterialEscherichia coli ProteinsHumansUnited StatesEscherichia coli Proteins

Identifiers

PMID32351993
PMCPMC7174961

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.