Analyzing Survival Rate of Leukemia Patients Applying Long Term Exponential Model

Faridizadeh, Mostafa; Alavi Majd, Hamid; Parkhideh, Sayeh; Hajifathali, Abbas; Raei, Mehdi; Ramezani, Nazanin; Saeedi, Anahita; Baghestani, Ahmad Reza

doi:10.31557/APJCP.2020.21.6.1539

Analyzing Survival Rate of Leukemia Patients Applying Long Term Exponential Model

Document Type : Research Articles

Authors

¹ Department of Biostatistics, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

² Taleghani Bone Marrow Transplantation Center, Shahid Beheshti University of Medical Science, Tehran, Iran.

³ Hematopoietic Stem Cell Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

⁴ Health Research Center, Life Style Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.

⁵ Department of Epidemiology and Biostatistics, Faculty of Health, Baqiyatallah University of Medical Sciences, Tehran, Iran.

⁶ Physiotherapy Research Center, Department of Biostatistics, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

10.31557/APJCP.2020.21.6.1539

Abstract

Background: Making progressin treatment of all branches of cancers has increasedthe percent of patients that never experience the event of interest. These cases are called immune or cure and models for handling the data included cure fraction rate, are referred to as cure model or long-term survival models. Methods:The data for this historical cohort study, were collected from leukemia patients diagnosed between 2007 to 2014 and followed up until 2016 in Taleghani hospital and received BMT (Bone Marrow Transplant). Some data had to be excluded because of incomplete information. Using recorded files mostly and phone calls rarely, were made to confirm whether the patients were still alive or not. Death due to leukemia was regarded as interested event. Analysis were performed by R version 3.4.1and Stata version 14. Results: Number of recurrents after receiving BMT, pre-transplant Hb and age at diagnosis were found as significant prognostics of survival time. HD patients had the highest 5-years overall survival in category of diagnosis type with 81.3%. Cure fraction was estimated to be 64.1%. Conclusion: According to high percentage of censoring, using long-term model had better fit.

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