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Updated: Oct 21, 2025

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Disparities in Breast Cancer Survivors in Rural West Texas
Hafiz Khan1, Drew Rasmussen1, Kemesha Gabbidon2
1Julia Jones Matthews Department of Public Health, 12343Texas Tech University Health Sciences Center, Lubbock, TX, USA.
Objectives:
Breast cancer is the second highest female mortality rate in Texas for all races and ethnicities, except for Hispanics. Interestingly, Hale County is a rural underserved county in West Texas which experiences a lower rate of cancer, has higher age-adjusted mortality rates (26.2/100 000), on average, compared to all of Texas (23.1/100 000). The purpose of this study was to determine the relationship between sociodemographic variables and breast cancer outcomes in underserved Hale County which contributed to the highest mortality rate in Texas.
Methods:
Hale County breast cancer data (1995-2014) were obtained from the Texas Cancer Registry. Statistical methods independent samples t-test, Kaplan-Meier curve, and Cox proportional hazard were used to describe the significant relationship between survival time, sociodemographic, and prognostic variables.
Results:
Women with breast cancer in Hale County were more likely to be White non-Hispanics (n = 266, 65.5%) and had the highest longevity (2753.6 ± 2073.5 days). White Hispanics experienced the worst survival (2369.6 ± 2060.2 days) and were more likely to develop a serious grade of cancer. Significant relationships were found between the stage of cancer and insurance status with survival time for both White non-Hispanics and White Hispanics (P < .001). Patients in grades II and III were found to be significantly (P < .01) associated with breast cancer death, and grades II and III which had around five-fold and eleven-fold increased risk of death, respectively, compared with the referent group, grade I.
Conclusion:
Determining the impact of sociodemographic variables on breast cancer outcome is essential to addressing issues of geographic disparities and integrating such variables may guide relevant policy interventions to reduce breast cancer's incidence in rural underserved communities in West Texans.
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