Determining Prognostic Factors of Disease-Free Survival in Breast Cancer Using Censored Quantile Regression.

ABSTRACT:

Background

The analysis of disease-free survival and related factors leads to a better understanding of the patient's condition and recurrence-related characteristics and provides a basis for more appropriate treatment guidance. In this study, we aimed to investigate the role of prognostic factors on disease-free survival in breast cancer with a quantile regression model.

Methods

This retrospective study was conducted by reviewing data obtained from 2056 breast cancer patients. Age at diagnosis and education status, tumor size, lymph node ratio, tumor grade, estrogen receptor and progesterone receptor, type of surgery, use of radiotherapy, chemotherapy, and hormone therapy were the prognosis factors considered in this study. A quantile regression model was used to investigat

SUBMITTER: Yazdani A 

PROVIDER: S-EPMC9251962 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature