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Volume 16, Issue 3 (Iranian Journal of Breast Diseases 2023)
ijbd 2023, 16(3): 80-94 |
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Research code: 10172
Ethics code: IR.SUU.SPH.REC.1400.048
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Fallah Tafti T, Fallahzadeh H, Jafari Nedooshan J, Bastani P, Ghelmani Y, Shamsi F. Evaluation of Factors Related to Short-Term and Long-Term Distant Metastatic Free survival in Patients with Early-stage of Breast Cancer by Semiparametric Mixture Cure Model. ijbd 2023; 16 (3) :80-94
URL: http://ijbd.ir/article-1-1066-en.html
URL: http://ijbd.ir/article-1-1066-en.html
Tahere Fallah Tafti1 
, Hossien Fallahzadeh2 , Jamal Jafari Nedooshan3 , Peyman Bastani4 , Yaser Ghelmani5 , Farimah Shamsi *6
, Hossien Fallahzadeh2 , Jamal Jafari Nedooshan3 , Peyman Bastani4 , Yaser Ghelmani5 , Farimah Shamsi *6
1- Department of Biostatistics and Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
2- Center for Healthcare Data Modeling, Department of Biostatistics and Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
3- Department of Surgery, Shahid Sadoughi Hospital, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
4- Department of Surgery, 22 Bahman Hospital, Islamic Azad University, Mashhad Medical Sciences, Mashhad, Iran
5- Clinical Research Development Center, Department of Internal Medicine, Shahid Sadoughi hospital, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
6- Center for Healthcare Data Modeling, Department of Biostatistics and Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran ,f.shamsi@ssu.ac.ir
2- Center for Healthcare Data Modeling, Department of Biostatistics and Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
3- Department of Surgery, Shahid Sadoughi Hospital, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
4- Department of Surgery, 22 Bahman Hospital, Islamic Azad University, Mashhad Medical Sciences, Mashhad, Iran
5- Clinical Research Development Center, Department of Internal Medicine, Shahid Sadoughi hospital, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
6- Center for Healthcare Data Modeling, Department of Biostatistics and Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran ,
Abstract: (1032 Views)
Introduction: In analyzing time-to-event data, it is frequent that a proportion of individuals will never experience the event of interest. Using the cured models instead of standard ones for survival analysis will result in accurate estimates for predicting survival time. This study aimed to estimate the effect of potential risk factors on long-term and short-term survival of breast cancer patients.
Methods: The study included 770 women diagnosed with early-stage breast cancer and treated with either breast conserving therapy or modified radical mastectomy with post-surgical radiation between 2005 and 2015. All study participants were followed up until September 2022. The review of the medical records of these patients was carried out at Shahid Sadoughi Hospital and the Ramazan Zadeh Radiotherapy Center in Yazd. Kaplan-Meier method was used to estimate disease-free survival and distant metastatic-free survival rates. Distant metastasis and prognostic factors were modeled by Cox proportional hazards and Semiparametric Mixture Cure models. Data analysis was done by Rstudio software.
Results: In this study, 218(28.3%) patients died, and metastasis occurred in 198(25.7%) patients until the end of the follow-up period. Based on the univariable and multivariable Semiparametric Mixture Cure model, the stage of disease was significant, and the risk of short-term distant metastatic-free survival for patients with stage IIIa was 2.7 times higher than patients with stage I and II of disease through multivariable Semiparametric Mixture Cure model.
Conclusion: The Semiparametric Mixture Cure model could estimate the long-term and short-term distant metastatic-free survival based on prognostic factors.
Methods: The study included 770 women diagnosed with early-stage breast cancer and treated with either breast conserving therapy or modified radical mastectomy with post-surgical radiation between 2005 and 2015. All study participants were followed up until September 2022. The review of the medical records of these patients was carried out at Shahid Sadoughi Hospital and the Ramazan Zadeh Radiotherapy Center in Yazd. Kaplan-Meier method was used to estimate disease-free survival and distant metastatic-free survival rates. Distant metastasis and prognostic factors were modeled by Cox proportional hazards and Semiparametric Mixture Cure models. Data analysis was done by Rstudio software.
Results: In this study, 218(28.3%) patients died, and metastasis occurred in 198(25.7%) patients until the end of the follow-up period. Based on the univariable and multivariable Semiparametric Mixture Cure model, the stage of disease was significant, and the risk of short-term distant metastatic-free survival for patients with stage IIIa was 2.7 times higher than patients with stage I and II of disease through multivariable Semiparametric Mixture Cure model.
Conclusion: The Semiparametric Mixture Cure model could estimate the long-term and short-term distant metastatic-free survival based on prognostic factors.
Keywords: Survival Analysis, Breast Neoplasms, Neoplasm Metastasis, Cured Models, Modified Mastectomy, Breast Conservation Therapy
Type of Study: Research |
Subject:
Epidemiology
Received: 2023/08/14 | Accepted: 2023/09/20 | Published: 2023/10/23
Received: 2023/08/14 | Accepted: 2023/09/20 | Published: 2023/10/23
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