In sickness and health - a questionnaire based study regarding immune mediated diseases and neoplasia in Swedish Nova Scotia Duck Tolling Retrievers
Notice bibliographique
Résumé
BACKGROUND: The Nova Scotia Duck Tolling Retriever (NSDTR) has previously been highlighted as a breed at risk for developing immune mediated diseases and cancer. The immune response is of great importance for the development of neoplastic disease and a dysregulated immune response may predispose to cancer. Two of the commonly seen immune mediated diseases in NSDTRs are immune mediated rheumatic disease (IMRD), which bears similarities to systemic lupus erythematosus (SLE) affecting humans, and steroid-responsive meningitis-arteritis (SRMA), which is a non-infectious inflammation of the meninges and the leptomeningeal vessels. The aim of this survey study was to investigate the lifetime prevalence of immune mediated diseases and tumors among Swedish NSDTRs based on owners' information. The study design was cross-sectional. A questionnaire was sent to 4102 persons who owned or had previously owned a NSDTR. The questions concerned information about the dog and its overall health status as well as specific diseases. RESULTS: The response rate was 30%, including 935 live NSDTRs, corresponding to approximately 20% of the current population registered in Sweden (n = 4564), and 177 dead dogs. The surveyed dogs were spread over different ages and sex and corresponded to the typical demographic profile of the general dog population. Of the 935 individuals that were alive, 28 dogs (3%) were reported as previously diagnosed with IMRD and 33 dogs (3.5%) were reported as previously diagnosed with SRMA, one dog was reported to have been diagnosed with both SRMA and IMRD. There were 129 dogs (14%) reported to have or have had a neoplasia of some kind. For the dead dogs (n = 177), almost 40% of the owners reported neoplasia as the main reason for death/euthanasia. CONCLUSION: This study reports an estimated lifetime prevalence of IMRD and SRMA, in the studied population of Swedish NSDTRs, of 3.0 and 3.5% respectively. In this study, 14% of the living dogs (n = 935) were reported to have a neoplasia of some kind and almost 40% of the deceased dogs (n = 177) were euthanized due to neoplasia or suspicion of it.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».