Evidence map›Paper›PMID 33750475›Full record

ArticleCanine medicine and genetics2021

Dog breeds and body conformations with predisposition to osteosarcoma in the UK: a case-control study.

Grace L Edmunds, Matthew J Smalley, Sam Beck, Rachel J Errington, Sara Gould, Helen Winter, Dave C Brodbelt, Dan G O'Neill

Open access · goldAbstract read
In one paragraph

Article in Canine medicine and genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

33 citing papers in PubMed, 38 citations in OpenAlex.

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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

8 authors at 3 institutions in 1 country.

Grace L EdmundsBristol Veterinary School, Langford House, Langford, Bristol, BS40 5DU, UK. ge8793@bristol.ac.uk.ORCID http://orcid.org/0000-0001-9188-7345
Matthew J SmalleyEuropean Cancer Stem Cell Research Institute and School of Biosciences, Cardiff University, Hadyn Ellis Building, Maindy Road, Cardiff, CF24 4HQ, UK.
Sam Beck *VPG Histology (formerly Bridge), Horner Court, 637 Gloucester Road, Horfield, Bristol, BS7 0BJ, UK.
Rachel J Errington *Division of Cancer and Genetics, School of Medicine, Academic Avenue, Cardiff University, Cardiff, CF62 3LF, UK.
Sara Gould *Langford Veterinary Services, Langford House Langford, Bristol, BS40 5DU, UK.
Helen Winter *Bristol Cancer Institute, Bristol, BS2 8ED, UK.
Dave C BrodbeltPathobiology and Population Sciences, The Royal Veterinary College, Hawkshead Lane, North Mymms, Hatfield, Herts, AL9 7TA, UK.
Dan G O'NeillPathobiology and Population Sciences, The Royal Veterinary College, Hawkshead Lane, North Mymms, Hatfield, Herts, AL9 7TA, UK.
Cardiff University · GBRoyal Veterinary College · GBAt Bristol · GB

Funding

Elizabeth Blackwell Institute R105121-142Wellcome TrustWellcome Trust Institutional Strategic Support Fund 204813/Z/16/Z
6 · The paper itself

Abstract

backgroundOsteosarcoma is an aggressive and painful bone neoplasm in dogs. Previous studies have reported epidemiological associations suggesting that large body mass, long bone length and the genetics of certain breeds including the Rottweiler are associated with elevated osteosarcoma risk. However, these studies were often limited by selection bias and confounding factors, and have rarely offered insights into breed-associated protection for osteosarcoma. The current study includes 1756 appendicular and axial osteosarcoma cases presenting to VPG Histology (Bristol, UK) compared against a control population of 905,211 dogs without osteosarcoma from primary care electronic patient records in the VetCompass™ dataset. METHODS AND STUDY

designRetrospective, case-control study. Multivariable logistic regression analysis explored associations between demographic risk factors (including breed, chondrodystrophy, age, sex/neuter status, skull-shape, and body mass) and osteosarcoma of all anatomical sites.

resultsWe identified several breeds with increased and reduced odds of osteosarcoma. At highest risk were the Rottweiler and Great Dane, with > 10 times the odds of osteosarcoma compared with crossbreds, and the Rhodesian Ridgeback, which has not featured in previous lists of at-risk breeds for osteosarcoma, and had an odds ratio of 11.31 (95% confidence interval 7.37-17.35). Breeds at lowest risk of osteosarcoma (protected breeds) included the Bichon Frise, the French Bulldog and the Cavalier King Charles Spaniel, all with odd ratios of less than 0.30 compared with crossbreds. Body mass was strongly associated with osteosarcoma risk; dogs over 40 kg exhibited osteosarcoma odds of 45.44 (95% confidence interval 33.74-61.20) compared with dogs less than 10 kg. Chondrodystrophic breeds had an osteosarcoma odds ratio of 0.13 (95% confidence interval 0.11-0.16) compared with non-chondrodystrophic breeds.

conclusionsThis study provides evidence of strong breed-associated osteosarcoma risk and protection, suggesting a genetic basis for osteosarcoma pathogenesis. It highlights that breeds selected for long legs/large body mass are generally overrepresented amongst at-risk breeds, whilst those selected for short leg length/small body mass are generally protected. These findings could inform genetic studies to identify osteosarcoma risk alleles in canines and humans; as well as increasing awareness amongst veterinarians and owners, resulting in improved breeding practices and clinical management of osteosarcoma in dogs.

Indexed as

Bone tumourBreedCancerDogElectronic patient recordEpidemiologyEPRNeoplasiaOsteosarcomaPedigreePrimary-carePurebredVetCompassVeterinary

Identifiers

PMID33750475
PMCPMC7944903
OpenAlexW3134874460

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.