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https://doi.org/10.1016/S1470-2045(08)70179-7

has been cited by the following article:

• TITLE: Survival Rate Analysis on Breast Cancer Cases at Univesity College Hospital, Ibadan, Nigeria

  AUTHORS: Olatayo Olusegun Alabi, Aminat Yetunde Saula, Ezra Gayawan, Victor Samuel Alabi, Hamidu Abimbola Bello, Rasaq Yinka Akinbo, Taiwo Abideen Lasisi

  KEYWORDS: Survival Rate, Breast Cancer, Kaplan-Meier Estimator, Log-Rank Test and Multivariate Cox Regression

  JOURNAL NAME: Open Journal of Statistics, Vol.12 No.2, April 21, 2022

  ABSTRACT: Breast cancer is one of the leading diseases that affect women’s lives. It affects their lives in so many ways by denying them the required standard of health needed to carry out all of their daily activities for some days, weeks, months or years before eventually causing death. This research estimates the survival rate of breast cancer patients and investigates the effects of stage of tumor, gender, age, ethnic group, occupation, marital status and type of cancer upon the survival of patients. Data used for the study were extracted from the case file of patients in the Radiation Oncology Department, University College Hospital, Ibadan using a well-structured pro forma in which 74 observations were censored and 30 events occurred. The Kaplan-Meier estimator was used to estimate the overall survival probability of breast cancer patients following their recruitment into the study and determine the mean and median survival times of breast cancer patients following their time of recruitment into the study. Since there are different groups with respect to the stages of tumor at the time of diagnosis, the log-rank test was used to compare the survival curve of the stages of tumor with considering p-values below 0.05 as statistically significant. Multivariate Cox regression was used to investigate the effects of some variables on the survival of patients. The overall cumulative survival probability obtained is 0.175 (17.5%). The overall estimated mean time until death is 28.751 weeks while the median time between admission and death is 23 weeks. As the p-value (0.000032) of the log-rank test for comparing stages of tumor is less than 0.05, it is concluded that there is significant evidence of a difference in survival times for the stages of tumor. The survival function plot for the stages of tumor shows that patients with stage III tumor are less likely to survive. From the estimated mean time until death for the stages of tumor, it was deduced that stage I tumor patients have an increased chance of survival. Types of cancer, gender, marital status, ethnic group, occupation and patient’s age at entry into the study are not important predictors of chances of survival.