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Identifying survival predictive factors in patients with breast cancer : a 16-year cohort study using cox maximum penalized likelihood method
المؤلفون المشاركون
Alvandi, Rezvaneh
Rasekhi, Aliakbar
Ariana, Mahdi
المصدر
Iranian Red Crescent Medical Journal
العدد
المجلد 21، العدد 4 (30 إبريل/نيسان 2019)، ص ص. 1-7، 7ص.
الناشر
تاريخ النشر
2019-04-30
دولة النشر
الإمارات العربية المتحدة
عدد الصفحات
7
التخصصات الرئيسية
الموضوعات
الملخص EN
Background: Cancer is the second leading cause of death globally, and it was responsible for almost 9.6 million deaths in 2018.
Breast cancer (BC) is the most common cancer among women with almost two million new cases worldwide in 2018.
Thus, it is necessary to study new methods to estimate the survival predictive factors in BC patients.
Objectives: This cohort study aimed to fit a Cox model to BC data using partial likelihood (PL) and new maximum penalized likelihood (MPL) methods in order to determine the predictive factors of survival time and compare the accuracy of these two methods.
Methods: This prospective cohort study used the data of 356 women with BC registered at the Cancer Research Center of Shahid Beheshti University of Medical Sciences in Tehran, Iran.
The patients were identified from 1999 to 2015.
The Cox model by new MPL and PL methods was used with variables such as the stage of cancer, tumor grade, estrogen receptor, and several other variables for univariate and multiple analyses.
Results: The mean age ± standard deviation (SD) of patients at diagnosis was about 48 ± 11.27 years ranging from 24 to 84 years.
Using the new MPL method, in addition to lymphovascular invasion and recurrence variables, estrogen receptor (P = 0.045) also had a statistically significant relationship with survival.
The standard errors of most variables were smaller when using the MLP method than the PL method.
The overall one-year, two-year, five-year, and 10-year survival rates based on the baseline hazard estimate were 96%, 92%, 70%, and 51%, respectively.
Conclusions: In the analysis of BC data, new MPL method can help identify the factors that affect the survival of patients more accurately than usual methods do.
This method decreases the standard error of most variables and can be applied for identifying predictive factors more accurately than previous methods.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Alvandi, Rezvaneh& Rasekhi, Aliakbar& Ariana, Mahdi. 2019. Identifying survival predictive factors in patients with breast cancer : a 16-year cohort study using cox maximum penalized likelihood method. Iranian Red Crescent Medical Journal،Vol. 21, no. 4, pp.1-7.
https://search.emarefa.net/detail/BIM-883774
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Alvandi, Rezvaneh…[et al.]. Identifying survival predictive factors in patients with breast cancer : a 16-year cohort study using cox maximum penalized likelihood method. Iranian Red Crescent Medical Journal Vol. 21, no. 4 (Apr. 2019), pp.1-7.
https://search.emarefa.net/detail/BIM-883774
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Alvandi, Rezvaneh& Rasekhi, Aliakbar& Ariana, Mahdi. Identifying survival predictive factors in patients with breast cancer : a 16-year cohort study using cox maximum penalized likelihood method. Iranian Red Crescent Medical Journal. 2019. Vol. 21, no. 4, pp.1-7.
https://search.emarefa.net/detail/BIM-883774
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 7
رقم السجل
BIM-883774
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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