Survival analysis of women diagnosed with triple-negative breast cancer using long-term survival model

Authors

  • Eder Milani Universidade Federal de Goiás (UFG), Instituto de Matemática e Estatística, Goiânia, Goiás, Brasil, edermilani@ufg.br https://orcid.org/0000-0001-5533-6693
  • Vinicius F. Calsavara Centro Internacional de Pesquisa do A.C.Camargo Cancer Center, São Paulo, São Paulo, Brasil, vinicius.calsavara@accamargo.org.br
  • Juliana Scudilio Universidade Federal de São Carlos (UFSCAR), Departamento de Estatística, São Carlos, São Paulo, Brasil, juliana-scudilio@uol.com.br
  • Carolina D. Tomazella Centro Universitário Padre Albino (UNIFIPA), Faculdade Integrada Padre Albino, Catanduva, São Paulo, Brasil, catomazella@hotmail.com
  • Carolina R. Bonini Centro Universitário Padre Albino (UNIFIPA), Faculdade Integrada Padre Albino, Catanduva, São Paulo, Brasil, carolina.rbonini@gmail.com
  • Caroline C. Antunes Centro Universitário Padre Albino (UNIFIPA), Faculdade Integrada Padre Albino, Catanduva, São Paulo, Brasil, carolinecantunes@hotmail.com
  • Danielly G. Santos Centro Universitário Padre Albino (UNIFIPA), Faculdade Integrada Padre Albino, Catanduva, São Paulo, Brasil, dani_gaspareti@hotmail.com
  • Mariana A. Zanotti Centro Universitário Padre Albino (UNIFIPA), Faculdade Integrada Padre Albino, Catanduva, São Paulo, Brasil, mariana.zanotti_@hotmail.com
  • Vera Tomazella Universidade Federal de São Carlos (UFSCAR), Departamento de Estatística, São Carlos, São Paulo, Brasil, vera@ufscar.br

DOI:

https://doi.org/10.5216/nm.v4.64354

Abstract

Breast cancer is one of the main causes of death for women worldwide, in Brazil the reality is no different. Identifying risk factors and analyzing the effect of treatments on patients' lives are extremely important for a better understanding of this disease. In this paper, aims to analyze the proportion of women who survive for a long period of time after being diagnosed with breast cancer. For that, it makes use of statistical models that allow to accommodate such characteristics. The data analyzed are from patients who were diagnosed with triple-negative breast cancer and underwent chemotherapy at the A.C.Camargo Cancer Center. Some factors that influence the determination of the cure rate are identified. It is noted that women who initially have a better prognosis exhibit a greater chance of surviving for a long period of time, thus indicating the need to expand the screening and early diagnosis of breast cancer.

Published

2021-09-01

How to Cite

MILANI, E. .; F. CALSAVARA, V. .; SCUDILIO, J. .; TOMAZELLA, C. D.; BONINI, C. R. .; ANTUNES , C. C. .; SANTOS , D. G. .; ZANOTTI, M. A. .; TOMAZELLA, V. Survival analysis of women diagnosed with triple-negative breast cancer using long-term survival model. NEXUS Mathematicæ, Goiânia, v. 4, 2021. DOI: 10.5216/nm.v4.64354. Disponível em: https://revistas.ufg.br/nexus/article/view/64354. Acesso em: 21 nov. 2024.