Notice bibliographique
Résumé
Canine arthritis is a common and complex disease with many influencing factors and proper treatment remains clouded among the pharmaceutical treatments available. This study was carried out with the objectives of obtaining a further understanding for the factors influencing this disease, but also to analyze the efficacy of pharmaceutical treatment, comparing between two specific medications, Cartrophen and Librela. The study was conducted at an anonymous Small Animal Clinic in Sweden, Clinic X. 28 dogs of mixed gender, breed and age were reviewed from the clinic´s computerized system, collected from 2018 to 2022. The dogs had either been previously diagnosed with arthritis or were suspected of having arthritis. All 28 dogs were analyzed in this study. It was found that many dogs diagnosed with osteoarthritis, the most common type, in this study were females, were of an older age and had a Body Condition Score (BCS) above the ideal BCS of 5/9. The most frequent breed presented in this research was Labrador Retriever. The most common symptom noted from dog owners was pain and limping. Most of the dogs were initially treated with NSAIDs, but all were further treated with either Cartrophen or Librela around 1 month after the beginning of treatment. The choice of treatment was changed for a number of the dogs during the treatment period, from Cartrophen to Librela or the other way around, as some owners reported no response to initial treatment. It was additionally found that many dogs required continuous treatment of NSAIDs in conjunction with either Cartrophen or Librela. It could be concluded that no significance was found between the factors influencing osteoarthritis nor their effect on the disease, and the results obtained in this research follows most results obtained in previous studies. However, some recent studies still prove that further and more thorough analysis needs to be performed to truly understand the factors influencing this disease as well as their effect on the disease development. It can also be concluded that Librela poses as a pharmaceutical drug of great potential to become a standard treatment for arthritis.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
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 | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,003 | 0,001 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,062 | 0,028 |
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 ».