Evidence map›Paper›PMID 40901065›Full record

ArticleFrontiers in veterinary science2025

Handling techniques and risk factors reported by veterinary professionals during dog examinations: a cross-sectional survey across Canada and the United States.

Lindsay Nakonechny, Alissa Cisneros, Carly M Moody, Anastasia Chiara Stellato

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Article in Frontiers in veterinary science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Lindsay NakonechnyDepartment of Animal and Food Sciences, Texas Tech University, Lubbock, TX, United States.
Alissa CisnerosDepartment of Animal and Food Sciences, Texas Tech University, Lubbock, TX, United States.
Carly M MoodyDepartment of Animal Science, University of California, Davis, Davis, CA, United States.
Anastasia Chiara StellatoDepartment of Animal and Food Sciences, Texas Tech University, Lubbock, TX, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Handling techniques are known to influence dog stress in veterinary settings; however, little is known about the current handling techniques applied to dogs during routine veterinary care or risk factors associated with their use. This cross-sectional survey aimed to assess common handling techniques used on calm, fearful, and aggressive dogs by veterinary professionals in Canada and the United States and identify risk factors for minimal and full-body restraint. Methods: A convenience sample of veterinary professionals completed an online questionnaire. It collected information on participant characteristics and clinic experience (e.g., gender, Ten Item Personality Index, bite history, stress-reducing certification), participant professional quality of life (using the ProQOL scale), general examination practices (e.g., use of treats), perceptions and importance of examination factors (e.g., staff safety), and frequency of using 14 different dog handling techniques. Logistic regression models were used to identify risk factors for the use of minimal and full-body restraint on fearful and aggressive dogs. Results: Participants ( Discussion: Handling techniques vary with dog behavior and are shaped by numerous factors, highlighting the complex relationship between personal and clinic-level influences on veterinary staff interactions with dog patients. These findings generate hypotheses for future observational research exploring factors that support stress-reducing techniques to improve dog welfare in clinical settings.

Indexed as

dog aggressiondog feardog welfarephysical restraintroutine examination

Identifiers

PMID40901065
PMCPMC12400514

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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.