Global pharmacovigilance reporting of the first monoclonal antibody for canine osteoarthritis: a case study with bedinvetmab (Librela™)
Notice bibliographique
Résumé
Introduction: Continuous product monitoring post approval builds on the knowledge gained during clinical studies to aid in understanding a product's safety and efficacy profile. Pharmacovigilance reporting of a medicinal product might be influenced by several factors including duration in the market, geographical region and veterinary practices. The goals of this report are to present the global data accrued for bedinvetmab, the first monoclonal antibody for canine osteoarthritis, and to explore reporting patterns globally and across major markets. Methods: Adverse event reports from the Zoetis Global Pharmacovigilance database (from first introduction on 01 February 2021 through 30 June 2024) were collected irrespective of suspected causality or off-label use. Each adverse event was coded using the Veterinary Dictionary for Drug Related Affairs (VeDDRA) terminology. The top 20 most reported VeDDRA terms were identified. Countries were ranked by number of doses distributed and frequency of adverse events. Results: Globally, 18,102,535 doses of bedinvetmab were sold during the study period with a total of 17,162 adverse events reported in dogs (9.48 events/10,000 treated animals (doses)). Eight clinical signs were considered rare (1-10 events/10,000 treated animals (doses)) with lack of efficacy having the highest rate (1.70) followed by polydipsia, ataxia, polyuria/pollakiuria, anorexia, lethargy, death, and emesis. All other clinical signs were considered very rare (< 1 event/10,000 treated animals (doses)). Median (interquartile range) of dogs' age and body weight were 12 (10-13) years and 26 (16-34.6) kg, respectively. The top eight countries by market size were United States (US), United Kingdom (UK), Germany, Spain, France, Italy, Canada, and Australia; from these, the top five by frequency of adverse events were Canada, US, UK, Australia and Germany. The most reported adverse events following bedinvetmab are considered rare or very rare. Discussion: The reported clinical signs generally aligned with expected adverse events or were anticipated within the population receiving bedinvetmab. Reporting rates and patterns in general and for specific VeDDRA terms greatly varied between countries and were not related to market size. Most dogs for which adverse events were reported were considered older and in fair clinical condition. Reporting to pharmacovigilance contributes to the understanding of the safety profile of a medicinal product.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».