Epidemiology of haemangiosarcoma diagnosed in dogs under primary veterinary care in the United Kingdom: Frequency and risk factors
Notice bibliographique
Résumé
Abstract Background This study aimed to estimate the frequency and risk factors for haemangiosarcoma diagnosis in dogs. Methods Cases diagnosed in UK primary care practices in 2019 were identified from VetCompass records, and potential risk factors were manually extracted. Two nested case-control studies were conducted: one including all diagnosed haemangiosarcoma with or without histopathological confirmation (clinical diagnosis), and another limited to histopathologically confirmed haemangiosarcoma. Logistic regression modelling was used to identify risk factors among dogs aged five years or older. Results Of 2,250,741 dogs of all ages, 801 were diagnosed with haemangiosarcoma in 2019, giving an annual incidence risk of 0.036% (95% confidence interval [CI] 0.033–0.038%). Of the 1,066,381 dogs aged at least five years, there were 790 incident cases (0.074%, 95% CI 0.069–0.079%). After excluding dogs that belonged to a small practice group, risk factor analysis compared 788 clinically diagnosed cases with 1,064,187 controls. Ten breeds had increased odds of clinical haemangiosarcoma diagnosis compared to crossbreed dogs. Breeds with the highest odds were Dogue de Bordeaux (OR 9.56, 95% CI 4.17–21.91), Flat Coated Retriever (OR 8.33, 95% CI 4.03–17.20) and German Shepherd Dog (OR 6.35, 95% CI 4.86–8.29). In the histopathological subset, the Flat Coated Retriever showed highest odds (OR 17.5, 95% CI 7.88–38.67). Compared to dogs aged 7 < 9 years old, older age was a significant risk factor in both clinical (11 < 13 years, OR 2.83, 95% CI 2.31–3.48) and histopathological diagnoses (9 < 11 years, OR 1.90, 95% CI 1.40–2.58). In the broader clinically diagnosed analysis, increased odds were also associated with neutered males (OR 1.49, 95% CI 1.17–1.90) and clinics in the least deprived areas (OR 1.66, 95% CI 1.18–2.34). Dogs attending clinics in mixed urban-rural areas had decreased odds of clinical haemangiosarcoma diagnosis compared to those in urban areas (OR 0.71, 95% CI 0.57–0.89). Conclusions Several strong breed associations for diagnosis of haemangiosarcoma were identified which can support earlier clinical suspicion and targeted diagnostics, especially where early signs are non-specific. Breed-related associations with haemangiosarcoma diagnosis may suggest a genetic predisposition which may be targeted through changes in breeding practices and promotion of outcrossing in high-risk breeds.
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 | 0,002 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| 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 ».