Evidence map›Paper›PMID 34488762›Full record

ArticleBMC veterinary research2021

Computed tomography findings in a cohort of 169 dogs with elbow dysplasia - a retrospective study.

Mateusz Hebel, Wojciech K Panek, Jakub J Ruszkowski, Maria Nabzdyk, Dariusz Niedzielski, Katarzyna C Pituch, Aaron M Jackson, Maciej Kiełbowicz, Małgorzata Pomorska-Mól

Open access · goldAbstract read
In one paragraph

Article in BMC veterinary research, 2021. 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
1.4field-weighted citation impact, top 21% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Trial
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  7. Imaging techniques in veterinary medicineEuropean journal of radiology open · 2023
    Review
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

9 authors at 5 institutions in 2 countries.

Mateusz Hebel *Department of Internal Diseases and Diagnostics, Poznan University of Life Sciences, ul. Wołyńska 35, 60-637, Poznań, Poland.
Wojciech K PanekDepartment of Clinical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina, 27607, USA.
Jakub J Ruszkowski *Department of Animal Anatomy, Poznan University of Life Sciences, ul. Wojska Polskiego 71C, 60-625, Poznań, Poland. ruszkowskijj@gmail.com.ORCID http://orcid.org/0000-0002-1256-0107
Maria NabzdykDepartment of Animal Anatomy, Poznan University of Life Sciences, ul. Wojska Polskiego 71C, 60-625, Poznań, Poland.
Dariusz NiedzielskiSmall Animal Veterinary Clinic, Klinika Psa i Kota, ul. Bolesława Krzywoustego 105/21, 51-166, Wrocław, Poland.
Katarzyna C PituchDepartment of Neurological Surgery, Feinberg School of Med, 676 N St. Clair, Suite 2210, Chicago, IL, 60611, USA.
Aaron M JacksonDepartment of Small Animal Surgery, Medvet Chicago, 3123 N. Clybourn Ave, Chicago, IL, 60618, USA.
Maciej KiełbowiczDepartment of Internal Diseases and Diagnostics, Poznan University of Life Sciences, ul. Wołyńska 35, 60-637, Poznań, Poland.
Małgorzata Pomorska-MólDepartment of Preclinical Sciences and Infectious Diseases, Poznan University of Life Sciences, ul. Wołyńska 35, 60-637, Poznań, Poland.
University of Life Sciences in Poznań · PLCollege of Communications and Management in Poznan · PLNeurological Surgery · USNorth Carolina State University · USWroclaw University of Health and Sport Sciences · PL

Funding

Ministerstwo Nauki i Szkolnictwa Wyższego 005/RID/2018/19
6 · The paper itself

Abstract

backgroundCanine elbow dysplasia (CED) is a complex developmental skeletal disorder associated with a number of pathological conditions within the cubital joint. Because CED is a heritable disease, it is important to identify and remove the affected animals from breeding. The first objective of this study was to describe the prevalence of medial coronoid process disease (MCPD) without (MCD) or with (FMCP) fragmented medial coronoid process, osteochondrosis (OC) and/or osteochondritis dissecans (OCD), ununited anconeal process (UAP), radio-ulnar incongruence (INC R-U) and humero-ulnar incongruence (INC H-U) in dogs with the use of CT imaging. The second aim was to determine the influence of demographics on the prevalence of investigated pathologies in dogs with clinical evidence of elbow dysplasia.

resultsIn this retrospective study, CT data records of 169 dogs of different breeds presented to the small animal veterinary clinic from 2012 to 2018 were included. 69.23% of dogs diagnosed with CED were young (≤ 2 years old). The mean age of dogs presented with INC R-U was 1.68 ± 1.82 years, while in dogs without INC R-U the mean age was 2.64 ± 2.59 years. The mean age of dogs with INC H-U was 1.94 ± 2.06 years, while without INC H-U 3.29 ± 2.09 years. Labrador Retrievers, German Shepherd and Bernese Mountain dogs were most frequently presented with CED-associated lameness. In 122 dogs OA of varying severity was found.

conclusionINC H-U, FMCP and MCD were among the most frequently found components of CED found in the present study. OCD and UAP were the least frequently diagnosed. Dogs presented with INC R-U and INC H-U were significantly younger than dogs without these CED components. Boxers, Dog de Bordeaux, American Staffordshire terriers and mixed-breed dogs were diagnosed later in life than the other breeds. OA of varying severity was found in 72.18% of dogs. Males accounted for more than 75% of the study population.

Indexed as

Age FactorsAnimalsDog DiseasesDogsFemaleForelimbJoint DiseasesMalePrevalenceRetrospective StudiesSpecies SpecificityTomography, X-Ray ComputedCanine elbow dysplasiaCEDCTDogsImaging

Identifiers

PMID34488762
PMCPMC8419939
OpenAlexW3197247365

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.