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   population based survival analysis of females diagnosed with breast cancer and its related factors in kerman province from 2001 to 2015, using parametric log-logistic models  
   
نویسنده tavakkoli ali ,kalantari khandani behjat ,mirzai moghadameh ,khanjani narges ,moazed vahid
منبع international journal of cancer management - 2021 - دوره : 14 - شماره : 8 - صفحه:1 -9
چکیده    Background: breast cancer is the most common cancer among women worldwide and 14.2% of deaths in iranian women were due to breast cancer. objectives: the present study aimed at investigating the survival of females with breast cancer diagnosed over 14 years and its related factors in kerman province. methods: this is a longitudinal study. information about 2851 females diagnosed with breast cancer was inquired from the cancer registry of kerman university of medical sciences from march 2001 to march 2015. data analysis was performed by stata 14 and spss 22. results: totally, 8511 women diagnosed with breast cancer were enrolled in this study. the median survival time among patients with grade 3 at diagnosis was 0.51 of patients with grade 1 (p = 0.016). the median survival time among patients with stage 4 at diagnosis was 0.11 of patients with stages 0 and 1 (p < 0.001). the median survival time among post-menopause patients at diagnosis was 0.65 of pre-menopause patients (p = 0.014). the median survival time among patients with secondary metastasis was 0.22 of patients without it (p < 0.001) and the median survival time among patients with hormonotherapy was 1.52 of patients without this treatment (p = 0.013). conclusions: early diagnosis can improve the survival of patients with breast cancer. periodic checkups especially in menopause ages are recommended. hormone therapy has been successful in increasing patients’ survival.
کلیدواژه log-logistic model ,survival analysis ,female breast cancer
آدرس kerman university of medical sciences, school of public health, department of epidemiology and biostatistics, iran, kerman university of medical sciences, school of medicine, department of internal medicine, iran, kerman university of medical sciences, school of public health, department of epidemiology and biostatistics, iran, kerman university of medical sciences, neurology research center, iran, kerman university of medical sciences, school of medicine, department of internal medicine, iran
پست الکترونیکی moazed_vahid@yahoo.com
 
     
   
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