Analysis of Prognostic Factors in Gastric Cancer Using Additive Hazards Regression Models

نویسندگان

  • Saman Maroufizadeh
  • Ebrahim Hajizadeh
  • Ahmad Reza Baghestani
  • Reza Fatemi
چکیده

Gastric cancer (GC) is the fourth most common cancer and the second leading cause of cancer-related death in the world. A 2005 analysis of the global incidence and cancer-related mortality revealed that 934,000 new cases of GC were diagnosed and approximately 700,000 patients died from this disease in 2002 (Parkin et al., 2005). Approximately 60% of all cases occur in developing countries with the highest rate in eastern Asia (Jemal et al., 2006). Although its incidence has been decreasing in the West for the last 20–30 years, incidence of GC has remained high in some Eastern countries (e.g., China, Korea, and Japan) (Chen et al., 2008; Yang, 2006). In Iran, the incidence is around 7300 cases per year, which is the most common cancer in men. Mortality from GC is also the first cause of death due to cancer in both sexes in Iran (Movahedi et al., 2009). Given to the low rate of 5-year survival of patients with GC, identification and control of risk factors remain the most effective means of prevention (Gonzalez et al., 2002). In survival analysis major interests are to compare the failure time distribution function or to assess covariate 1Department of Biostatistics, Faculty of Medical Science, Tarbiat Modares University, 2Islamic Azad University, South Tehran Branch, 3Research Center for Gastroenterology and Liver Disease, Shahid Beheshti University of Medical Sciences, Tehran, Iran *For correspondence: [email protected] Abstract

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

استفاده از مدل چندجمله‌ای کسری در تعیین عوامل مرتبط با بقای بیماران مبتلا به سرطان معده

Background & Objectives: Cox regression model is one of the statistical methods in survival analysis. The use of smoothing techniques in Cox model makes the more accurate estimates for the parameters. Fractional polynomial is one of these techniques in Cox model. The aim of this study was to assess the effects of prognostic factors on survival of patients with gastric cancer using the fractiona...

متن کامل

مقایسه مدل‌های بیزی پارامتریک در تحلیل عوامل مؤثر بر میزان بقای بیماران مبتلا به سرطان معده

Background & Objectives: The Cox proportional-hazards regression and other parametric models model have achieved widespread use in the analysis of time-to-event data with censoring and covariates. However employing Bayesian method has not been widely used or discussed. The aim of this study was to evaluate the prognostic factors in using Bayesian interval censoring analysis.Methods: This cohort...

متن کامل

Five-year Survival Rate in Gastric Cancer Patients and its Related Factors in West Azerbijan Province, Iran During the Period 2011-2013

Background and Aims: Gastric cancer is the fifth most common cancer and the third cause of cancer death globally. This cancer ranks first and fourth in Iranian men and women, respectively. Assessment of survival rate and factors influencing it will make it possible to determine the burden of disease in the population and the relationships between different factors and the survival rate. The pre...

متن کامل

Comparison of Random Survival Forests for Competing Risks and Regression Models in Determining Mortality Risk Factors in Breast Cancer Patients in Mahdieh Center, Hamedan, Iran

Introduction: Breast cancer is one of the most common cancers among women worldwide. Patients with cancer may die due to disease progression or other types of events. These different event types are called competing risks. This study aimed to determine the factors affecting the survival of patients with breast cancer using three different approaches: cause-specific hazards regression, subdistri...

متن کامل

Evaluation of the Prognostic Value and TRIP13 gene Expression in Gastric Cancer

Introduction: Gastric cancer is a major public health issue worldwide. The factors that initiate cancer are not well understood, however aberrant expression of genes is associated with this cancer. TRIP13 plays pivotal roles in meiotic recombination, DNA repair, and cell cycle progression. An increasing body of evidence suggests that TRIP13 may possess functions other than meiosis and mitosis, ...

متن کامل

SSH1 expression is associated with gastric cancer progression and predicts a poor prognosis

BACKGROUND Slingshot homolog-1 (SSH1) plays an important role in pathological processes, including in the occurrence and development of tumours. The purpose of this study was to determine whether SSH1 is a key biomarker with prognostic value for survival in patients with gastric cancer. METHODS We performed immunohistochemistry (IHC) on tissue microarrays containing 100 gastric cancer specime...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2011