Clinical, pathological and genetic aspects of laryngeal paralysis in dogs
Bibliographic record
Abstract
The review article discusses the main clinical signs of paralysis of the larynx and pathological changes associated with it and other neurological pathologies. These hereditary canine neuropathies form a group of degenerative diseases affecting motor and/or sensory and autonomic peripheral nerves and have similar symptoms.Axonal forms associated with generalized polyneuropathy and paralysis of the larynx have been described in several dog breeds: Dalmatians, Alaskan Malamutes, Rottweilers, Labrador Retrievers, Leonbergers, St. Bernards, Italian Spinols, Pyrenean Mountain Dogs, Podhale Sheepdogs, Cocker Spaniels, Great Danes, American Staffordshire Terriers, Staffordshire Bull Terriers, Bouvier de Flandres, Siberian Huskies and Siberian Husky crosses. Candidate genes for association with the disease are considered:ARHGEF10, RAPGEF6, ADAMTS3, CNTNAP1, DCTN1.The age of onset of the disease can be different, the manifestation of signs of paralysis of the larynx occurs both in young dogs, and the geriatric form also occurs. The prognosis of the complex of paralysis of the larynxpolyneuropathy is from cautious to unfavorable. One case of euthanasia due to intractable regurgitation and aspiration pneumonia has been described. Some authors point to a possible association of the disease with white coat color. Two main types of inheritance of paralysis of the larynx in dogs have been established - autosomal recessive and X -linked recessive. In humans, the dominant type of inheritance of this anomaly is known. Early diagnosis will make it possible to identify the hereditary nature of paralysis of the larynx, reduce the incidence of severe forms of the disease with timely surgical correction of the cartilage of the larynx and symptomatic treatment, as well as the spread of carriers of mutant alleles in dog populations. This is relevant today in connection with the spread of this anomaly in many breeds.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".