Feline leukemia and feline immunodeficiency virus in Canada - A comment.
Notice bibliographique
Résumé
Dear Editor, We would first like to thank The Canadian Veterinary Journal (CVJ) for the August 2011 comprehensive review article entitled “Feline leukemia and feline immunodeficiency virus in Canada: Recommendations for testing and management” (Can Vet J 2011;52:849–855) by Dr. Susan Little et al, which brings much-needed attention to these significant and serious feline infectious diseases. With regards to feline immunodeficiency virus (FIV), while there is some debate as to FIV’s impact on mortality, there is none with regards to its significant negative impact on morbidity, which directly correlates to a patient’s quality of life (1–2). Prevention is important. As such, we were disappointed to read the author’s statement “the use of this [FIV] vaccine cannot be recommended” when reviewing the section on preventative retroviral strategies and this seems based in part, on the findings of a single negative UK-based study that is in stark contrast to multiple other studies demonstrating robust vaccine efficacy. It is our opinion that this failure to provide appropriate efficacy perspective undermines a critical preventative strategy for a disease with such high prevalence and severity. As the vaccine manufacturer, we are quite proud of the fruit borne from the 15 years of collaboration between industry and academia to bring to market the current Boehringer Ingelheim FIV vaccine Fel-O-Vax FIV. During the development of this vaccine, over 60 different challenges have been done assessing vaccine efficacy to Clades A, B, and A/B (most common in Canada) with preventative fractions ranging from 80% to 100% (3–7). The authors do briefly reference the 4 published studies done with Fel-O-Vax FIV without commenting on their efficacy: Kusuhara, 2005 — clade B 2 year natural exposure challenge — 100% (PF) (8); Pu, 2005 — clade B challenge — 100% (PF) (9); Huang, 2004 — heterologous clade A challenge — 82% (PF) (10); Huang, 2010 — clade B challenge — 71% (PF) (11). Doing an average on all of the data from the 9 published studies confirms a preventable fraction above 80% which is considered the standard mark of a good vaccine and clearly shows that Fel-O-Vax FIV vaccine can induce a broad, effective, prophylactic immunity against the heterologous sub-types commonly seen in North America (12). It should also be noted that the FIV vaccine is licensed at a higher licensing level (an aid in the prevention of infection) than most of the other feline vaccines (aid in the prevention of disease). FIV is very prevalent in Canadian cats and vaccination to prevent FIV infection should still be considered as part of the prevention strategy for this disease as recommended by the AAFP in at risk cats (13,14). In fairness to the article text, the authors do raise concern over the interpretation of FIV testing as contributing to their vaccine use recommendations. Based on the vaccine efficacy data provided above, perhaps this is the more clinically relevant issue and we would encourage the Task Force to separate out these two issues to ensure they are specifically addressed and that veterinarians (after reviewing all of the published efficacy data) are provided with the applicable tools to gain and pass along appropriate informed consent, thereby ensuring that individual cats are offered the protection they need should their lifestyle warrant.
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 | 0,007 | 0,036 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,003 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,007 | 0,005 |
| Communication savante | 0,005 | 0,007 |
| Science ouverte | 0,006 | 0,003 |
| Intégrité de la recherche | 0,062 | 0,049 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,004 |
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 ».