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Record W7014283064

Oculopatie di presunta origine ereditaria nei cani di razza Retriever: osservazioni cliniche nel periodo 2015-2019

2019· article· it· W7014283064 on OpenAlexaboutno aff

Bibliographic record

VenueElectronic Theses and Dissertations Repository (University of Pisa) · 2019
Typearticle
Languageit
FieldBiochemistry, Genetics and Molecular Biology
TopicRetinal Development and Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsEntropionClinical PracticeBlindnessCongenital diseaseElectrodiagnosis
DOInot available

Abstract

fetched live from OpenAlex

Riassunto Obbiettivo: lo scopo dello studio è stato quello di identificare la prevalenza delle oculopatie di provata o presunta origine ereditaria (KP-HED – Known and Presumed Hereditary Eye Disease) congenite e non congenite, nei cani di razza Labrador Retriever e Golden Retriever, riscontrate durante la visita di controllo per la certificazione ufficiale FSA (Fondazione Salute Animale). Materiali e metodi: nello studio sono stati inclusi 165 cani di razza Labrador Retriever e Golden Retriever, presentati in visita dal 2015 al 2019. La visita è stata condotta secondo il protocollo previsto dalla certificazione ufficiale FSA. Risultati: sul totale delle KP-HED riscontrate nel 65% delle femmine e nel 35% dei cani maschi di razza Retriever, si riportano la displasia retinica (RD – Retinal Dysplasia) nel 70% dei casi e la cataratta ereditaria (HC – Hereditary Cataract) nel 24%. Nel Labrador Retriever la RD è stata diagnosticata in 20 soggetti (n=20; 66.7%) seguita dalla HC (n=8; 26.7%) e dalla distrofia corneale (CD – Corneal Distrophy) (n=1; 3.3%) ed Entropion (n=1; 3.3%). Nel Golden Retriever sono state riscontrate 6 RD e 1 HC. Conclusioni: l’assenza di follow-up per i soggetti esaminati non permette di stimare possibili variazioni di prevalenza delle oculopatie ereditarie non congenite. Ai fini del benessere animale, quale scopo primario, la prevenzione, basata su controlli ufficiali regolari contribuisce a ridurre la prevalenza di numerose patologie oculari, ormai diffuse a causa di selezioni genetiche spinte. Parole chiave: oculopatie, visita FSA, Retriever, displasia retinica, cataratta ereditaria. Abstract Purpose: the purpose of the study was to identify the prevalence of congenital and non-congenital, proven or presumed, hereditary ocular diseases (KP-HEDs) in Labrador Retrievers and Golden Retrievers, found during the ophthalmological exam for the official certification issued by Animal Health Foundation (FSA). Material and methods: 165 Labrador Retriever and Golden Retriever dogs examined from 2015 to 2019 were included. The examination was conducted according to the protocol established by the official FSA certification (Animal Health Foundation). Results: on the total KP-HEDs found in 65% of females and 35% of male Retriever dogs, retinal dysplasia (RD) was observed in 70% of cases and hereditary cataract (HC - Hereditary Cataract) in 24%. In the Labrador Retriever, RD was diagnosed in 20 subjects (n=20; 66.7%) followed by HC (n=8; 26.7%) and corneal distrophy (CD) (n=1; 3.3%) and entropion (n=1; 3.3%). In the Golden Retriever 6 RD and 1 HC were diagnosed. Conclusion: the absence of follow-up for the examined dogs does not allow us to estimate possible prevalence variations of non-congenital hereditary oculopathies. For the animal welfare, as a primary purpose, prevention based on regular official controls, helps to reduce the prevalence of several eye diseases, now widespread due to inbreeding strategies. Key Words: ocular diseases, FSA examination, Retriever, retinal dysplasia, hereditary cataract.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.247
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.004
GPT teacher head0.214
Teacher spread0.210 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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