Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/151481
Author(s): Pinello, K
Pires, I
Castro, AF
Carvalho, PT
Santos, A
de Matos, A
Queiroga, F
Niza Ribeiro, J
Title: Vet-OncoNet: Developing a Network of Veterinary Oncology and Reporting a Pioneering Portuguese Experience
Publisher: MDPI
Issue Date: 2022
Abstract: Vet-OncoNet is a replicable tripartite animal cancer database with the scientific and academic purposes of collecting data and producing evidence-based knowledge for cancer science in general. Inspired by the One Health vision, Vet-OncoNet uses business intelligence tools to optimize the process of capturing, treating, and reporting animal cancer data to a national level in three interfaces: ACR (animal cancer registry, pathology-based), COR (clinical oncology registry, vet practice-based) and RFR (risk factor registry, owner-based). The first results show that skin and mammary gland are by far the most affected systems. Mast cell tumors and complex adenoma of the mammary gland are the most frequent histologic type in dogs, while in cats they are squamous cell carcinomas, tubular adenocarcinoma of the mammary gland and lymphomas. Regarding COR, it provides valuable information on the landscape of veterinary oncology practices, therapeutics options, outcomes and owners’ drivers’ adherence towards therapies, which range from 30% up to 80% upon vet practices. Furthermore, being aware of the role of animals within the family and as possible sentinels of environmental risks to cancer in humans, the network built an interface (Pet-OncoNet) dedicated to owners and a database (RFR) that receives information regarding pets and owners´ daily habits. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
Subject: Cancer; Comparative oncology; Database; Epidemiology; Veterinary
DOI: 10.3390/vetsci9020072
URI: https://hdl.handle.net/10216/151481
Source: Vet Sci. 2022 Feb 7;9(2):72. doi: 10.3390/vetsci9020072.
Document Type: Artigo em Revista Científica Internacional
Rights: openAccess
License: https://creativecommons.org/licenses/by/4.0/
Appears in Collections:ISPUP - Artigo em Revista Científica Internacional

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