Evidence map›Paper›PMID 37616027›Full record

ArticleThe veterinary quarterly2023

Quantifiable features of a tidal breathing phenotype in dogs with severe bronchomalacia diagnosed by bronchoscopy.

Chung-Hui Lin, Lynelle R Johnson, Wei-Tao Chang, Pei-Ying Lo, Hui-Wen Chen, Huey-Dong Wu

Open access · goldAbstract read
In one paragraph

Article in The veterinary quarterly, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 36% of its field
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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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 at 3 institutions in 2 countries.

Chung-Hui LinNational Taiwan University Veterinary Hospital, National Taiwan University, Taipei, Taiwan.ORCID 0000-0002-5276-3179
Lynelle R JohnsonDepartment of Medicine and Epidemiology, The University of California School of Veterinary Medicine, Davis, CA, USA.ORCID 0000-0002-5331-5626
Wei-Tao ChangNational Taiwan University Veterinary Hospital, National Taiwan University, Taipei, Taiwan.
Pei-Ying LoTACS-Alliance Research Center, Taipei, Taiwan.
Hui-Wen ChenDepartment of Veterinary Medicine, National Taiwan University, Taipei, Taiwan.ORCID 0000-0002-0595-3420
Huey-Dong WuSection of Respiratory Therapy, Department of Integrated Diagnostics and Therapeutics, National Taiwan University Hospital, National Taiwan University, Taipei, Taiwan.
National Taiwan University · TWNational Taiwan University Hospital · TWUniversity of California, Davis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dynamic lower airway obstruction is the primary component of canine bronchomalacia, but the ventilatory function remains underinvestigated. This prospective study analyzed tidal breathing characteristics in 28 dogs, comprising 14 with severe bronchomalacia diagnosed by bronchoscopy versus 14 without respiratory disease. Spirometry was conducted in all dogs. Bronchoscopy with bronchoalveolar lavage or brush under anesthesia was performed in 14 dogs with cough and expiratory effort. Severe bronchomalacia was defined by the severity of collapse and total number of bronchi affected. Ventilatory characteristics were compared between groups. Results revealed that dogs with severe bronchomalacia had lower minute volume (218 vs 338 mL/kg,

Indexed as

Airway ObstructionBronchomalaciaDog DiseasesAnimalsBronchoscopyDogsPhenotypeProspective StudiesRespirationBronchomalaciabronchoscopydogsfunctional phenotypelower airway obstructionpulmonary function testspirometrytidal breathing

Identifiers

PMID37616027
PMCPMC10478619
OpenAlexW4386116160

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.