Evidence map›Paper›PMID 35740186›Full record

ArticleAntibiotics (Basel, Switzerland)2022

The Urinary Resistome of Clinically Healthy Companion Dogs: Potential One Health Implications.

Tonatiuh Melgarejo, Nathan Sharp, Janina A Krumbeck, Guangxi Wu, Young J Kim, Annika Linde

Abstract read
In one paragraph

Article in Antibiotics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Antibiotic Use in Veterinary.Antibiotics (Basel, Switzerland) · 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

6 authors.

Tonatiuh MelgarejoVeterinary Clinical Center, College of Veterinary Medicine, Western University of Health Sciences, 611 E. Second Street, Pomona, CA 91766, USA.ORCID 0000-0002-3307-6218
Nathan SharpVeterinary Clinical Center, College of Veterinary Medicine, Western University of Health Sciences, 611 E. Second Street, Pomona, CA 91766, USA.
Janina A KrumbeckMiDOG LLC, 14672 Bentley Cir, Tustin, CA 92780, USA.ORCID 0000-0002-4865-7170
Guangxi WuMiDOG LLC, 14672 Bentley Cir, Tustin, CA 92780, USA.
Young J KimVeterinary Clinical Center, College of Veterinary Medicine, Western University of Health Sciences, 611 E. Second Street, Pomona, CA 91766, USA.
Annika LindeVeterinary Clinical Center, College of Veterinary Medicine, Western University of Health Sciences, 611 E. Second Street, Pomona, CA 91766, USA.ORCID 0000-0002-5749-4852

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An interdisciplinary approach to antimicrobial resistance (AMR) is essential to effectively address what is projected to soon become a public health disaster. Veterinary medicine accounts for a majority of antimicrobial use, and mainly in support of industrial food animal production (IFAP), which has significant exposure implications for human and nonhuman animals. Companion dogs live in close proximity to humans and share environmental exposures, including food sources. This study aimed to elucidate the AMR-gene presence in microorganisms recovered from urine from clinically healthy dogs to highlight public health considerations in the context of a species-spanning framework. Urine was collected through cystocentesis from 50 companion dogs in Southern California, and microbial DNA was analyzed using next-generation sequencing. Thirteen AMR genes in urine from 48% of the dogs {

Indexed as

antimicrobial resistancedogmicrobiomeresistomespecies-spanningurine

Identifiers

PMID35740186
PMCPMC9220278

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.