Journal of Semnan University of Medical Sciences
Prognostic factors of metastases in breast cancer patients using the recurrent Andersen-Gill model
Authors
Abstract
Introduction: Identifying the risk factors in the treatment of metastatic breast cancer patients is a major concern. The aim of this study was to determine prognostic factors for metastasis of breast cancer using a regression model for recurrent data. Materials and Methods: The data used in the study were for the records of 133 women with breast cancer who underwent surgery and treatment at hospital Fayazbakhsh during 2005- 2007. Patients were followed until 2011 April and their final situations recorded. To determine the prognostic factors, a univariate Andersen-Gill model were fitted. Significant factors at univariate model were entered in multiple AG model. Results: During 5833 person-month follow up of patients, 25 patients(18.8%) died and 108 patients (81.2%) were alive. The first metastasis mostly shown in brain and liver (5.3%) and the second one in brain (3.8%). In univariate analysis, grade, Her2 and LNR were shown as prognostic factors for metastasis of breast cancer in multiple analysis model (P
Highlights
Copyright
© 2013, Author(s). This open-access article is available under the Creative Commons Attribution 4.0 (CC BY 4.0) International License (https://creativecommons.org/licenses/by/4.0/), which allows for unrestricted use, distribution, and reproduction in any medium, provided that the original work is properly cited.
Similar Articles
Application of log-normal parametric model in disability structure to predict metastasis and death due to breast cancer
Hajihosseini M, Amini P, Shahdoust M, Faradmal J, Sadeghyfar M, et al. Application of log-normal parametric model in disability structure to predict metastasis and death due to breast cancer. koomesh. 2016;18(1):e151150. doi:
Simultaneous modeling of multiple recurrences in breast cancer patients
Osmani F, Rasekhi A, HajiZadeh E, Akbari H. Simultaneous modeling of multiple recurrences in breast cancer patients. koomesh. 2020;22(2):e153189. doi:
Analyzing Relationship Between Local and Metastasis Relapses with Survival of Patients with Breast Cancer: A Study Using Joint Frailty Model
Osmani F, Hajizadeh E, Rasekhi A, Akbari ME. Analyzing Relationship Between Local and Metastasis Relapses with Survival of Patients with Breast Cancer: A Study Using Joint Frailty Model. Int J Cancer Manag. 2018;11(12):e81783. doi: https://doi.org/10.5812/ijcm.81783
Evaluation of Prognostic Factors In Patients with Metastatic Breast Cancer
Saeidi Saedi H, Seilanian Toosi M, Mirsadraei M, Roodbari S. Evaluation of Prognostic Factors In Patients with Metastatic Breast Cancer. Int J Cancer Manag. 2008;1(3):e80475. doi:
Prognostic Factors of Recurrence (Early and Late) and Death in Breast Cancer Patients in Iranian Women
Akbari ME, Akbari A, Nafissi N, Shormeij Z, Sayad S, et al. Prognostic Factors of Recurrence (Early and Late) and Death in Breast Cancer Patients in Iranian Women. Int J Cancer Manag. 2016;9(6):e5747. doi: https://doi.org/10.17795/ijcp-5747
- Scopus by DOI: 0
Last Update: 1 week ago
- Scopus by Title: 17
Last Update: 1 week ago
- Scopus by Title (Ref): 17
Last Update: 1 week ago
- CrossRef: 0
Last Update: 5 hours ago
- OpenAlex: 0
Last Update: 7 hours ago
- OpenCitations: 0
Last Update: 5 days ago