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Epidemiology of canine mammary neoplasia in Araçatuba: a statistical approach

Grant number: 13/07329-8
Support type:Scholarships in Brazil - Scientific Initiation
Effective date (Start): June 01, 2013
Effective date (End): May 31, 2014
Field of knowledge:Agronomical Sciences - Veterinary Medicine - Preventive Veterinary Medicine
Principal Investigator:Sílvia Helena Venturoli Perri
Grantee:Walter Bertequini Nagata
Home Institution: Faculdade de Medicina Veterinária (FMVA). Universidade Estadual Paulista (UNESP). Campus de Araçatuba. Araçatuba , SP, Brazil


Due to the increase in the development of scientific research in Brazil, there is a change in the model of researcher asked for this kind of work. Focused not only on the expertise of one particular area, but in a number of areas, the researcher of today can, in a manner more appropriate to conduct an experimental design. The biostatistics is an important discipline within the biological field. Interdisciplinarity between the exact and biological areas, has shown how important it is that this kind of relationship occurs between these disciplines. In rewarding levels, we note that there are a lot of research in the area of veterinary medicine. Among the various diseases that exist in small animal veterinary practice, particularly in dogs, veterinary oncology has excelled greatly. Undoubtedly, it is noteworthy that among the cases of tumors found in everyday veterinary clinic, the canine mammary neoplasia is what most worries veterinarians. That's because this is the type of cancer most common in female dogs. The goal of this research is, through data collected in small animal veterinary clinic on dogs with breast cancer, to survey the profile of canine mammary neoplasia in Araçatuba and associate some factors that may predispose or lead to the development and / or development of canine mammary neoplasia. It will use data from medical records of dogs with mammary tumors that passed through Quintilian Luiz de Oliveira, Faculty of Veterinary Medicine Araçatuba - UNESP, from the period of 2008 to 2012. The Academic, along with guidance, will analyze the data of the experiment. Statistical analyzes will be performed with the computer program SAS and the Action software. Statistics will be considered significant when P <0.05. (AU)