Prognostic factors of metastases in breast cancer patients using the recurrent Andersen-Gill model
Author | Mahmood Reza Gohari | en |
Author | Zeinab Moghaddamifard | en |
Author | Jamileh Abolghasemi | en |
Author | Mehdi Mohammadi | en |
Author | parisa Mokhtari | en |
Issued Date | 2013-09-30 | en |
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 | en |
DOI | https://doi.org/ | en |
Keyword | Breast neoplasms, Neoplasm metastasis, Recurrent events, Andersen-Gill model. | en |
Keyword | سرطان پستان،متاستازسرطان، دادههای بازگردنده، مدل اندرسن-گیل | en |
Publisher | Brieflands | en |
Title | Prognostic factors of metastases in breast cancer patients using the recurrent Andersen-Gill model | en |
Type | Research Article | en |
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