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Journal of Basic Research in Medical Sciences، جلد ۱۲، شماره ۴، صفحات ۱۲-۱۹
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عنوان انگلیسی Risk Factors Associated with Overall Survival of Breast Cancer Patients Using Multivariate Cox Extended Models
چکیده انگلیسی مقاله Introduction: The present study aimed at identifying the risk factors associated with overall survival (OS) of breast cancer (BC) patients using multivariate Cox extended models.
Materials & Methods: This retrospective cohort study was conducted on 348 women with BC who were followed up for 10 years. Kaplan-Meier (KM) and log-rank statistics, Cox proportional hazard (PH), and multivariate Cox models were used to analyze the data. STATA V.17 and SPSS V.27 were used for data analysis.
Results:  The median age of the patients was 55 years, and the median survival time was 29 months. Five- and 10-year OS were estimated at 93.4% and 88.4%, respectively. The results of multivariate analysis using the Cox model showed that lymph node (LN+) (hazard ratio (HR) = 2.86, P = 0.002), tumor size (HR = 1.99, P = 0.001), and progesterone receptor (PR-) (HR = 4.5, P = 0.002) increase death hazard significantly.
Conclusion:  Prognostic factors indicated that women with lymph node involvement (LN+), positivity of human epidermal growth factor receptor 2 (HER2+), negativity of estrogen receptor (ER-), negative expression of progesterone receptor (PR-), advanced disease grade, and large tumor sizes were more likely to have a high hazard of death than other women.

 
کلیدواژه‌های انگلیسی مقاله Breast Cancer, Overall survival, Cox extended models
نویسندگان مقاله | Khadijeh Mamashli
Health faculty, Biostatistics Department, Ilam University of Medical Sciences, Ilam, Iran


| Hassan Nourmohammadi
Medicine Faculty, Ilam University of Medical Sciences, Ilam, Iran


| Kourosh Sayehmiri
Health faculty, Biostatistics Department, Ilam University of Medical Sciences, Ilam, Iran
نشانی اینترنتی http://jbrms.medilam.ac.ir/browse.php?a_code=A-10-804-2&slc_lang=en&sid=1
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کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده Biostatistics
نوع مقاله منتشر شده پژوهشی
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