Evidence map›Paper›PMID 36605768›Full record

ReviewFrontiers in veterinary science2022

Surveillance of antimicrobial resistance in veterinary medicine in the United States: Current efforts, challenges, and opportunities.

Juliana M Ruzante, Beth Harris, Paul Plummer, Raissa R Raineri, John Dustin Loy, Megan Jacob, Orhan Sahin, Amanda J Kreuder

Abstract readReview
In one paragraph

Review in Frontiers in veterinary science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. International journal of microbiology · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Comparative Analysis of Methicillin-ResistantAntibiotics (Basel, Switzerland) · 2024
    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.

Juliana M RuzanteCenter for Environmental Health Risk and Sustainability, RTI International, Durham, NC, United States.
Beth HarrisNational Animal Health Laboratory Network, National Veterinary Services Laboratories, U. S. Department of Agriculture, Animal and Plant Health Inspection Service, Ames, IA, United States.
Paul PlummerDepartment of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, United States.
Raissa R RaineriNational Institute of Antimicrobial Resistance Research and Education, Ames, IA, United States.
John Dustin LoyNebraska Veterinary Diagnostic Center, School of Veterinary Medicine and Biomedical Sciences, University of Nebraska-Lincoln, Lincoln, NE, United States.
Megan JacobDepartment of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, United States.
Orhan SahinDepartment of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, United States.
Amanda J KreuderNational Institute of Antimicrobial Resistance Research and Education, Ames, IA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial resistance (AMR) is a global problem facing human, animal, plant, and environmental health by threatening our ability to effectively treat bacterial infections with antimicrobials. In the United States, robust surveillance efforts exist to collect, analyze, and disseminate AMR data in human health care settings. These tools enable the development of effective infection control methods, the detection of trends, and provide the evidence needed to guide stewardship efforts to reduce the potential for emergence and further spread of AMR. However, in veterinary medicine, there are currently no known equivalent tools. This paper reviews efforts in the United States related to surveillance of AMR in veterinary medicine and discusses the challenges and opportunities of using data from veterinary diagnostic laboratories to build a comprehensive AMR surveillance program that will support stewardship efforts and help control AMR in both humans and animals.

Indexed as

animal healthantimicrobial resistance (AMR)antimicrobial stewardshipdata sharingsurveillanceveterinary medicine

Identifiers

PMID36605768
PMCPMC9807758

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.