Evidence map›Paper›PMID 31407402›Full record

ArticleJournal of veterinary internal medicine2019

Comparison of signalment and computed tomography findings in French Bulldogs, Pugs, and English Bulldogs with and without clinical signs associated with thoracic hemivertebra.

Steven De Decker, Rowena M A Packer, Rodolfo Cappello, Tom R Harcourt-Brown, Cecilia Rohdin, Sergio A Gomes, Niklas Bergknut, Tom A Shaw, Mark Lowrie, Rodrigo Gutierrez-Quintana

Open access · goldAbstract readComparative Study
In one paragraph

Article in Journal of veterinary internal medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.4field-weighted citation impact, top 13% 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

14 citing papers in PubMed, 27 citations in OpenAlex.

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  12. Thoracolumbar meningeal fibrosis in pugs.Journal of veterinary internal medicine · 2020
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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

10 authors at 6 institutions in 2 countries.

Steven De DeckerDepartment of Veterinary Clinical Science and Services, Royal Veterinary College, University of London, Hatfield, United Kingdom.ORCID https://orcid.org/0000-0002-2505-2152
Rowena M A PackerDepartment of Veterinary Clinical Science and Services, Royal Veterinary College, University of London, Hatfield, United Kingdom.
Rodolfo CappelloNorth Downs Specialist Referrals, Bletchingley, United Kingdom.
Tom R Harcourt-BrownSchool of Veterinary Sciences, University of Bristol, North Somerset, United Kingdom.ORCID https://orcid.org/0000-0002-5980-472X
Cecilia RohdinDepartment of Clinical Sciences, Swedish University of Agricultural Sciences, Uppsala, Sweden.
Sergio A GomesDovecote Veterinary Hospital, Derby, United Kingdom.ORCID https://orcid.org/0000-0002-9452-7262
Niklas BergknutNorth Downs Specialist Referrals, Bletchingley, United Kingdom.
Tom A ShawSchool of Veterinary Sciences, University of Bristol, North Somerset, United Kingdom.
Mark LowrieDovecote Veterinary Hospital, Derby, United Kingdom.ORCID https://orcid.org/0000-0002-4993-589X
Rodrigo Gutierrez-QuintanaSchool of Veterinary Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom.ORCID https://orcid.org/0000-0002-3570-2542
North Downs Hospital · GBRoyal Derby Hospital · GBUniversity of Bristol · GBUniversity of London · GBSwedish University of Agricultural Sciences · SEUniversity of Glasgow · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough thoracic hemivertebra can cause neurological signs, they occur commonly in neurologically normal dogs.

objectivesTo evaluate whether computed tomography (CT) findings and factors associated with signalment can be used to differentiate between dogs with and without neurological signs associated with hemivertebra. ANIMALS: One hundred sixty dogs with ≥1 hemivertebrae were retrospectively studied. This group consisted of 40 dogs with clinical signs caused by hemivertebra and 40 French Bulldogs, 40 Pugs, and 40 English Bulldogs that underwent CT for reasons unrelated to neurological disease.

methodsAll dogs underwent CT and affected dogs also underwent magnetic resonance imaging. All CT studies were randomly evaluated by an observer blinded to signalment and clinical status. The following variables were evaluated: presence, number, location, and subtype of hemivertebra; presence of vertebral subluxation; severity of vertebral canal stenosis; presence, location, and severity of kyphosis, and number of vertebrae involved in the kyphotic segment. Statistical modeling was performed to identify factors associated with clinical status.

resultsPug breed (odds ration [OR], 10.8; P = .01), more severe kyphosis (OR, 1.1 per grade increase; P < .001), fewer instead of more observed hemivertebrae (OR, 0.8; P = 0.03), and ventrolateral hypoplasia hemivertebra subtype (OR, 4.0; P = .011) were associated with higher likelihood of neurological disease. A Cobb angle of 34.5 degrees corresponded with the highest combined sensitivity and specificity to differentiate between clinically affected and unaffected dogs. CONCLUSIONS AND CLINICAL IMPORTANCE: The variables identified could aid in differentiating between clinically relevant and irrelevant hemivertebra in small breed brachycephalic dogs.

Indexed as

AnimalsCross-Sectional StudiesDog DiseasesDogsFemaleGenetic Predisposition to DiseaseMagnetic Resonance ImagingMaleNervous System DiseasesRetrospective StudiesThoracic VertebraeTomography, X-Ray Computedbrachycephalickyphosisscrew-tailedspinal malformationvertebral malformation

Identifiers

PMID31407402
PMCPMC6766535
OpenAlexW2968808518

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.