Survival Analysis of Iranian Patients with Breast Cancer Using Joint Frailty Model with a Cure Rate
محل انتشار: مجله سرطان خاورمیانه، دوره: 12، شماره: 2
سال انتشار: 1400
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 103
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شناسه ملی سند علمی:
JR_MISJ-12-2_008
تاریخ نمایه سازی: 25 آبان 1402
چکیده مقاله:
Background: Breast cancer is a common disease among women around the world. In Iran, it is the most prevalent cancer diagnosed in women. The objective of this study was to assess the cure rate of patients and the associated risk factors. Method: A retrospective cohort study was conducted on ۴۴۶ patients with breast cancer admitted to the Shahid Ramezanzadeh Radiotherapy Center. Using R ۳.۲.۲ software, the Kaplan-Meier curve, log-rank test, and cure joint frailty model were utilized in the analysis. Results: Of the ۴۴۶ patients, ۱۷.۳% died, ۲۰% experienced relapse, and ۶۲.۷% were censored. The ۱-۵-۷-year disease-free survival rates were ۹۵.۳%, ۷۳.۴%, and ۶۹.۳%, respectively. In the cure model, stage, involved lymph node, and surgery were statistically significant. In the recurrence model, stage, involved lymph node, lymphovascular invasion, and hormone therapy were statistically significant. In the death model, stage, lymphovascular invasion, and involved lymph node had a statistically significant effect on the survival time. Conclusion: The cure joint frailty model is a good model when there is a high fraction of patients who do not experience any recurrence or death. In addition, this model allows for the separate estimation of explanatory variable effect on recurrence, death, and cure. The findings of our study can be conducive to preventing the unfavorable effects of breast cancer and increasing the survival of patients.
نویسندگان
Zahra Arab Borzu
Department of Biostatistics, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
Ahmad Reza Baghestani
Department of Physiotherapy Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
Elaheh Talebi Ghane
Modeling of Non-communicable Diseases Research Center, Hamadan University of Medical Sciences, Hamadan, Iran
Anahita Saeedi
Department of Biostatistics, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
Ali Akhavan
Department of Radiation Oncology, Isfahan University of Medical Sciences, Isfahan, Iran