Evidence map›Paper›PMID 32625181›Full record

ArticleFrontiers in microbiology2020

Antimicrobial Resistance in Swine Fecal Specimens Across Different Farm Management Systems.

Suporn Pholwat, Tawat Pongpan, Rattapha Chinli, Elizabeth T Rogawski McQuade, Iyarit Thaipisuttikul, Parntep Ratanakorn, Jie Liu, Mami Taniuchi, Eric R Houpt, Suporn Foongladda

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Effect of supplementing aBioscience of microbiota, food and health · 2026
    Article
  3. Article
  4. Genomic Insights of Antibiotic-ResistantAntibiotics (Basel, Switzerland) · 2025
    Article
  5. Article
  6. Article
  7. Prevalence, Diversity, and Virulence ofPathogens (Basel, Switzerland) · 2024
    Article
  8. Article
  9. Antimicrobial Resistance in CommensalAntibiotics (Basel, Switzerland) · 2023
    Review
  10. Review
  11. Article
  12. Review
  13. Swine production: how sustainable is sustainability?Animal frontiers : the review magazine of animal agriculture · 2022
    Article
  14. Article
  15. Article
  16. Use of Molecular Methods To DetectJournal of clinical microbiology · 2022
    Article
  17. Article
  18. Article
  19. Genomic Insights ofFrontiers in microbiology · 2022
    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

10 authors.

Suporn PholwatDepartment of Microbiology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Tawat PongpanSwine Veterinarian Service, Charoen Pokphand Foods PCL, Bangkok, Thailand.
Rattapha ChinliDepartment of Microbiology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Elizabeth T Rogawski McQuadeDivision of Infectious Diseases and International Health, Department of Medicine, University of Virginia, Charlottesville, VA, United States.
Iyarit ThaipisuttikulDepartment of Microbiology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Parntep RatanakornFaculty of Veterinary Science, Mahidol University, Nakhon Pathom, Thailand.
Jie LiuDivision of Infectious Diseases and International Health, Department of Medicine, University of Virginia, Charlottesville, VA, United States.
Mami TaniuchiDivision of Infectious Diseases and International Health, Department of Medicine, University of Virginia, Charlottesville, VA, United States.
Eric R HouptDivision of Infectious Diseases and International Health, Department of Medicine, University of Virginia, Charlottesville, VA, United States.
Suporn FoongladdaDepartment of Microbiology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.

Funding

Molecular Diagnostic Tools for Patient Oriented Field Studies in Infectious DiseasesK24AI102972 · NIAID · UNIVERSITY OF VIRGINIA · PI HOUPT, ERIC R · 2013 to 2022
$1.5M
NIAID NIH HHS K24 AI102972
6 · The paper itself

Abstract

Antimicrobial use in agricultural animals is known to be associated with increases in antimicrobial resistance. Most prior studies have utilized culture and susceptibility testing of select organisms to document these phenomena. In this study we aimed to detect 66 antimicrobial resistance (AMR) genes for 10 antimicrobial agent classes directly in swine fecal samples using our previously developed antimicrobial resistance TaqMan array card (AMR-TAC) across three different swine farm management systems. This included 38 extensive antimicrobial use (both in treatment and feed), 30 limited antimicrobial use (treatment only), and 30 no antimicrobial use farms. The number of resistance genes detected in extensive antimicrobial use farms was higher than in limited and no antimicrobial use farms (28.2 genes ± 4.2 vs. 24.0 genes ± 4.1 and 22.8 genes ± 3.6, respectively,

Indexed as

AMRantimicrobial resistancefarm managementfecal specimensswine

Identifiers

PMID32625181
PMCPMC7311580

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.