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Cox model and decision trees: an application to breast cancer data.
- Source :
-
Pan American Journal of Public Health / Revista Panamericana de Salud Pública . 2022, Vol. 46, p1-9. 9p. - Publication Year :
- 2022
-
Abstract
- Objective. To evaluate, using semiparametric methodologies of survival analysis, the relationship between covariates and time to death of patients with breast cancer, as well as the determination discriminatory power in the conditional inference tree of patients who had cancer. Methods. A retrospective cohort study was conducted using data collected from medical records of women who had breast cancer and underwent treatment between 2005 and 2015 at the Hospital da Fundação de Assistencial da Paraíba in Campina Grande, State of Paraiba, Brazil. Survival curves were estimated using the Kaplan-Meier method, Cox regression, and conditional decision tree. Results. Women with triple-negative molecular subtypes had a shorter survival time compared to women with positive hormone receptors. The addition of hormone therapy reduced the risk of a patient dying by 5.5%, and the risk of a HER2-positive patient dying was 34.5% lower compared to those who were negative for this gene. Patients undergoing hormone therapy had a median survival time of 4 753 days. Conclusions. This paper shows a favorable scenario for the use of immunotherapy for patients with HER2 overexpression. Further studies could assess the effectiveness of immunotherapy in patients with other conditions, to favor the prognosis and better quality of life for the patient. [ABSTRACT FROM AUTHOR]
- Subjects :
- *BREAST cancer prognosis
*BREAST tumor treatment
*DECISION trees
*MATHEMATICAL statistics
*PARAMETERS (Statistics)
*SPECIALTY hospitals
*HORMONE therapy
*TIME
*RETROSPECTIVE studies
*ACQUISITION of data
*REGRESSION analysis
*MOLECULAR pathology
*CANCER patients
*TREATMENT effectiveness
*CANCER treatment
*COMPARATIVE studies
*RISK assessment
*MEDICAL records
*KAPLAN-Meier estimator
*DESCRIPTIVE statistics
*RESEARCH funding
*STATISTICAL models
*BREAST tumors
*PROPORTIONAL hazards models
*LONGITUDINAL method
*HORMONE receptor positive breast cancer
*IMMUNOTHERAPY
MORTALITY risk factors
Subjects
Details
- Language :
- English
- ISSN :
- 10204989
- Volume :
- 46
- Database :
- Academic Search Index
- Journal :
- Pan American Journal of Public Health / Revista Panamericana de Salud Pública
- Publication Type :
- Periodical
- Accession number :
- 162192306
- Full Text :
- https://doi.org/10.26633/RPSP.2022.17