risk factors associated with overall survival of breast cancer patients using multivariate cox extended models

Introduction: the present study aimed at identifying the risk factors associated with overall survival (os) of breast cancer (bc) patients using multivariate cox extended models.materials & methods: this retrospective cohort study was conducted on 348 women with bc who were followed up for 10 years. kaplan-meier (km) and log-rank statistics, cox proportional hazard (ph), and multivariate cox models were used to analyze the data. stata v.17 and spss v.27 were used for data analysis.results:  the median age of the patients was 55 years, and the median survival time was 29 months. five- and 10-year os were estimated at 93.4% and 88.4%, respectively. the results of multivariate analysis using the cox model showed that lymph node (ln+) (hazard ratio (hr) = 2.86, p = 0.002), tumor size (hr = 1.99, p = 0.001), and progesterone receptor (pr-) (hr = 4.5, p = 0.002) increase death hazard significantly.conclusion:  prognostic factors indicated that women with lymph node involvement (ln+), positivity of human epidermal growth factor receptor 2 (her2+), negativity of estrogen receptor (er-), negative expression of progesterone receptor (pr-), advanced disease grade, and large tumor sizes were more likely to have a high hazard of death than other women.