en ارزیابی بقای طولانی‌مدت بیماران مبتلا به سرطان مری با استفاده از مدل‌های نرخ درمانی غیر مخلوط پارامتری Medical Laboratory and Animal Investigation Medical Laboratory and Animal Investigation مقاله پژوهشی Original Research Article <p style="text-align: justify;"><span style="font-family:times new roman;"><span style="font-size:14px;"><span style="color:#008080;"><strong>Background and Objective</strong>: </span>Esophageal cancer (EC) has been identified as one of the most common cancers in the northeastern regions of Iran.&nbsp; In our study, parametric non-mixture cure rate model was applied to evaluate the effects of risk factors on the long-term survival of patients with EC in East Azarbaijan, Northeastern Iran.<br> <span style="color:#008080;"><strong>Materials and Methods: </strong></span>This retrospective cohort study of 127 patients with EC registered at Iran National Cancer Registry office in the period 2009-2010. These patients were followed up for 5 years in East Azarbaijan, Iran until 2015. The best parametric cure rate model was identified and the risk factors of survival in patients with EC were measured by Akaike Information Criteria and parametric non-mixture cure rate model, respectively.<br> <span style="color:#008080;"><strong>Results: </strong></span>The survival time of EC patients ranged 0.10-69.03 months. Male sex (Odds Ratio (OR) =0.08, 95% confidence interval (CI):0.02-0.32, p-value<0.001), patients who underwent esophagectomy surgery (OR=6.11, 95%CI: 1.46-25.55, p-value=0.013) had a significant effect on the survival and the cure fraction of EC patients. Population cure rate was 0.11 (95%CI: 0.07-0.19) and cure fraction was estimated 4.9%<strong>.</strong><br> <span style="color:#008080;"><strong>Conclusion: </strong></span>The Weibull non- mixture cure rate model was the most appropriate statistical tool to identify potential risk factors that affect both survival and cure fraction of EC patients. It is a recommended tool for analyzing the long-term survival of patients with EC.</span></span></p> Esophageal neoplasms, Survival nnalysis, Non-mixture Cure Rate models 43 50 http://journal.zums.ac.ir/browse.php?a_code=A-10-4629-1&slc_lang=en&sid=1 Elahe Zaeran الهه زائران elahe.zarean.ez@gmail.com 5200319475328460054461 5200319475328460054461 Yes Modeling in Health Research Center, Shahrekord University of Medical Sciences, Shahrekord, Iran Mehdi Azizmohammad Looha مهدی عزیزمحمدلو mehdi.looha@gmail.com 5200319475328460054462 5200319475328460054462 No Dept. of Biostatistics, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Science, Tehran, Iran. Payam Amini پیام امینی payam.amini87@gmail.com 5200319475328460054463 5200319475328460054463 No Reproductive Epidemiology Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran Tara Azimi تارا عظیمی tazimi@ualberta.ca 5200319475328460054464 5200319475328460054464 No Faculty of Public Health, University of Alberta, Edmonton, Alberta, Canada Mahmoud Mahmoudi محمود محمودی mahmoodim@tums.ac.ir 5200319475328460054465 5200319475328460054465 No Dept. of Epidemiology and Biostatistics, Faculty of Public Health, Tehran University of Medical Sciences, Tehran, Iran.