Prevalence of respiratory signs in dogs with chronic gastroenteropathy in a referral population in the United Kingdom: 42 cases (2020)

Concurrent respiratory signs in dogs with chronic gastroenteropathy are frequent. A clinical improvement of these respiratory signs might be achieved during the therapeutic management of gastrointestinal disorders.

Authors

Institutions

Publication Details

Journal
Journal of Small Animal Practice
Published
2024-09-03
DOI
https://doi.org/10.1111/jsap.13779
Citations
1
Primary Topic
Tracheal and airway disorders
Type
article
Field-Weighted Citation Impact
0.42
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prevalence of respiratory signs in dogs with chronic gastroenteropathy in a referral population in the United Kingdom: 42 cases (2020)

Julien Bazelle, Ángel Salas García, T. MCCANN, L. Atkinson
1 citations
Journal of Small Animal Practice
Tracheal and airway disorders
0.42
article

Prevalence of respiratory signs in dogs with chronic gastroenteropathy in a referral population in the United Kingdom: 42 cases (2020)

Julien Bazelle, Ángel Salas García, T. MCCANN, L. Atkinson
article en
1 citations

Abstract

Concurrent respiratory signs in dogs with chronic gastroenteropathy are frequent. A clinical improvement of these respiratory signs might be achieved during the therapeutic management of gastrointestinal disorders.

Journal of Small Animal PracticeVol. 65(12)
University of Liverpool (GB), Animal Free Research UK (GB)
Good health and well-being
Openalex Percentile: Top 33%
Tracheal and airway disorders
0.42
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.