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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".