Prognostic factors of metastases in breast cancer patients using the recurrent Andersen-Gill model

AuthorMahmood Reza Goharien
AuthorZeinab Moghaddamifarden
AuthorJamileh Abolghasemien
AuthorMehdi Mohammadien
Authorparisa Mokhtarien
Issued Date2013-09-30en
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 (Pen
DOIhttps://doi.org/en
KeywordBreast neoplasms, Neoplasm metastasis, Recurrent events, Andersen-Gill model.en
Keywordسرطان پستان،متاستازسرطان، داده‌های بازگردنده، مدل اندرسن-گیلen
PublisherBrieflandsen
TitlePrognostic factors of metastases in breast cancer patients using the recurrent Andersen-Gill modelen
TypeResearch Articleen

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