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Babaee, Ebrahim, Nafissi, Nahid, Tehrani-Banihashemi, Arash, Eshrati, Babak, Janani, Leila, Nojomi, Marzieh. (1400). The Effects of Prognostic Factors on Metastasis and Survival of Patients with Breast Cancer Using a Multi-State Model. سامانه مدیریت نشریات علمی, 13(1), 150-158. doi: 10.30476/mejc.2021.89311.1519
Ebrahim Babaee; Nahid Nafissi; Arash Tehrani-Banihashemi; Babak Eshrati; Leila Janani; Marzieh Nojomi. "The Effects of Prognostic Factors on Metastasis and Survival of Patients with Breast Cancer Using a Multi-State Model". سامانه مدیریت نشریات علمی, 13, 1, 1400, 150-158. doi: 10.30476/mejc.2021.89311.1519
Babaee, Ebrahim, Nafissi, Nahid, Tehrani-Banihashemi, Arash, Eshrati, Babak, Janani, Leila, Nojomi, Marzieh. (1400). 'The Effects of Prognostic Factors on Metastasis and Survival of Patients with Breast Cancer Using a Multi-State Model', سامانه مدیریت نشریات علمی, 13(1), pp. 150-158. doi: 10.30476/mejc.2021.89311.1519
Babaee, Ebrahim, Nafissi, Nahid, Tehrani-Banihashemi, Arash, Eshrati, Babak, Janani, Leila, Nojomi, Marzieh. The Effects of Prognostic Factors on Metastasis and Survival of Patients with Breast Cancer Using a Multi-State Model. سامانه مدیریت نشریات علمی, 1400; 13(1): 150-158. doi: 10.30476/mejc.2021.89311.1519

The Effects of Prognostic Factors on Metastasis and Survival of Patients with Breast Cancer Using a Multi-State Model

Middle East Journal of Cancer
مقاله 17، دوره 13، شماره 1 - شماره پیاپی 49، فروردین 2022، صفحه 150-158    اصل مقاله (331.31 K)
نوع مقاله: Original Article(s)
شناسه دیجیتال (DOI): 10.30476/mejc.2021.89311.1519
نویسندگان
Ebrahim Babaee1؛ Nahid Nafissi2؛ Arash Tehrani-Banihashemi1؛ Babak Eshrati1؛ Leila Janani1؛ Marzieh Nojomi* 1، 3
1Preventive Medicine and Public Health Research Center, Psychosocial Health Research Institute, Community and Family Medicine Department, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
2Breast Department, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
3Department of Sociology and Anthropology, Nipissing University, North Bay, Ontario, Canada
چکیده
Background: The multi-state models help more closely study of the factors affecting the survival of patients with breast cancer.
Method: We conducted the present retrospective cohort study on 2030 Iranian patients with breast cancer in 2020. The patients’ follow-up period ranged from 1 month to 15 years. Accordingly, the initial treatment, metastasis, and death were considered as the first, second, and absorbing states, respectively. The multi-state model was utilized for modeling and analyzing the data at a 95% significance level using the MSM package in R software.
Results: The mean age (± standard deviation) of the patients included at diagnosis time was 55.3 (±12.07) years old. The first one year and 5 years adjusted transition probabilities for transitions from the treatment to metastasis estimated as 0.85 (0.15 – 0.89) and 0.45 (0.21 – 0.61), and for metastasis to death transitions, they were estimated as 0.15 (0.1 – 0.21) and 0.55 (0.41 - 0.69), respectively. Moreover, the average sojourn times were estimated as 0.27 and 74.85 months for the treatment and metastasis states, respectively.
Conclusion: The obtained results revealed that over time, the transition probabilities of patients from surgery to metastasis state decreased, whereas the transition probabilities from metastasis to death state increased using the multi-state model.
کلیدواژه‌ها
Multi-state model؛ Prognostic factors؛ Survival analysis؛ Breast cancer
اصل مقاله

How to cite this article:

Babaee E, Nafissi N, Tehrani-Banihashemi A, Eshrati B, Janani L, Nojomi M. The effects of prognostic factors on metastasis and survival of patients with breast cancer using a multi-state model. Middle East J Cancer. 2022;13(1):150-8. doi: 10.30476/mejc.2021. 89311.1519.

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