Análise frequentista e bayesiana dos casos oncológicos na cidade de Cáceres

Abstract

The objective of this study is to present the prevalence of cancer in the city of Cáceres- MT and region according to age, gender, topography in the period between 2016 and 2019, its relationship with the estimated national incidence, and characterization of the interdependencies of the variables studied through a network bayesian. We carried out an observational, cross-sectional study with a survey of 2.042 positive anatomopathological reports for cancer, collected from the database of the Pathology Laboratory linked to the oncological center of Cáceres. Thirty-three primary sites were identified. Non-melanoma skin cancer was the most prevalent with more than 60% of cases, but with the exception of this one, the most frequent was breast cancer, followed by uterine cervix cancer and prostate cancer. Breast cancer was the most prevalent in women, and prostate cancer in men. The age group in which cancer diagnoses were concentrated was between 60 and 79 years. Study highlights: cervical cancer, with numbers higher than expected; prostate and lung cancer with percentages lower than expected, all compared to cancer estimates for Brazil and Mato Grosso for 2023 (INCA). Finally, we structured a Bayesian network, which can act as an agile and assertive management tool, helping to make strategic decisions. This study allowed demonstrating the profile of patients diagnosed with cancer, in relation to gender, topography and age, in the city of Cáceres and region. Important information in the elaboration of public policies to modify the identified profile, and serve as a basis for new research in the region.