Modeling Survival Analysis in Gastric Cancer Patients Using the Proportional Hazards Model of Cox

Autor: B Moghimi Dehkordi, A Rajaeefard, HR Tabatabaee, B Zeighami, A Safaee, Z Tabeie
Jazyk: perština
Rok vydání: 2007
Předmět:
Zdroj: مجله اپیدمیولوژی ایران, Vol 3, Iss 1, Pp 19-24 (2007)
Druh dokumentu: article
ISSN: 1735-7489
2228-7507
Popis: Background & Objectives: Cancer has been traditionally regarded as a fatal disease; it is a major public health problem in many countries throughout the world. In recent years, cancer morbidity and mortality has increased in our country and notably stomach cancer now ranks second or third among all cancers types with regard to morbidity.Methods: Our study included all gastric cancer patients registered in the cancer registry of Fars province. The patients' survival status was followed using phone calls and death records from hospitals, other medical centers, and the city's cemetery. Data analysis involved the use of the nonparametric Kaplan-Meier and Cox proportional hazards models and was performed with the software package SPSS V.13.Results: Of the 442 patients with gastric cancer, 303 cases (68.6 percents) were male, and the mean age of patients was 58.41 years (SD=14.46). In univariate analysis with the KM method, a statistically significant association was found between survival rates and the following factors: age at diagnosis (P
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