Evidence map›Paper›PMID 33769611›Full record

ArticleJournal of veterinary internal medicine2021

International veterinary canine dyskinesia task force ECVN consensus statement: Terminology and classification.

Sofia Cerda-Gonzalez, Rebecca A Packer, Laurent Garosi, Mark Lowrie, Paul J J Mandigers, Dennis P O'Brien, Holger A Volk

Open access · goldAbstract readConsensus Statement
In one paragraph

Article in Journal of veterinary internal medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
4.0field-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

35 citing papers in PubMed, 47 citations in OpenAlex.

  1. Myoclonus as a neurologic manifestation of hypoglycemia in dogs.Journal of veterinary internal medicine · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Phenotypic characteristics of paroxysmal dyskinesia in 25 cats.The Journal of small animal practice · 2026
    Article
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  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Canine paroxysmal dyskinesia-a review.Frontiers in veterinary science · 2024
    Review
  18. Trismus due to myotonia associated with hyperadrenocorticism in a dog.The Journal of veterinary medical science · 2023
    Article
  19. Article
  20. 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

7 authors at 7 institutions in 4 countries.

Sofia Cerda-GonzalezMedVet Chicago, Chicago, Illinois, USA.ORCID https://orcid.org/0000-0001-8263-5170
Rebecca A PackerDepartment of Clinical Sciences, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, Colorado, USA.ORCID https://orcid.org/0000-0002-0227-4131
Laurent GarosiVet Oracle Teleradiology, Bedford, United Kingdom.ORCID https://orcid.org/0000-0003-1985-464X
Mark LowrieDovecote Veterinary Hospital, Derby, United Kingdom.ORCID https://orcid.org/0000-0002-4993-589X
Paul J J MandigersDepartment of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands.ORCID https://orcid.org/0000-0003-2547-6673
Dennis P O'BrienDepartment of Veterinary Medicine and Surgery, College of Veterinary Medicine, University of Missouri, Columbia, Missouri, USA.
Holger A VolkDepartment of Small Animal Medicine and Surgery, University of Veterinary Medicine Hannover, Hannover, Germany.ORCID https://orcid.org/0000-0002-7312-638X
Colorado State University · USMissouri College · USOracle (United States) · USRoyal Derby Hospital · GBUniversity of Applied Sciences Utrecht · NLUniversity of Chicago · USUniversity of Veterinary Medicine Hannover, Foundation · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Movement disorders are a heterogeneous group of clinical syndromes in humans and animals characterized by involuntary movements without changes in consciousness. Canine movement disorders broadly include tremors, peripheral nerve hyperexcitability disorders, paroxysmal dyskinesia, and dystonia. Of these, canine paroxysmal dyskinesias remain one of the more difficult to identify and characterize in dogs. Canine paroxysmal dyskinesias include an array of movement disorders in which there is a recurrent episode of abnormal, involuntary, movement. In this consensus statement, we recommend standard terminology for describing the various movement disorders with an emphasis on paroxysmal dyskinesia, as well as a preliminary classification and clinical approach to reporting cases. In the clinical approach to movement disorders, we recommend categorizing movements into hyperkinetic vs hypokinetic, paroxysmal vs persistent, exercise-induced vs not related to exercise, using a detailed description of movements using the recommended terminology presented here, differentiating movement disorders vs other differential diagnoses, and then finally, determining whether the paroxysmal dyskinesia is due to either inherited or acquired etiologies. This consensus statement represents a starting point for consistent reporting of clinical descriptions and terminology associated with canine movement disorders, with additional focus on paroxysmal dyskinesia. With consistent reporting and identification of additional genetic mutations responsible for these disorders, our understanding of the phenotype, genotype, and pathophysiology will continue to develop and inform further modification of these recommendations.

Indexed as

ChoreaDog DiseasesDyskinesiasAnimalsDogsMutationPhenotypedystoniamovement disordermyoclonusmyokymiamyotoniaparoxysmal dyskinesia

Identifiers

PMID33769611
PMCPMC8162615
OpenAlexW3136529993

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.