Prognostic factors of survival of patients with oesophageal cancer under radiotherapy using cox regression model
Authors
Abstract:
oesophageal cancer is one of the most fatal cancer in human in spite of high incidence in the north of Iran and poor prognosis,there is not information regarding prognostic factors in this area.this study was conducted to determine prognodtic factors of the survival of patients with oesophageal cancer under radiotherapy.We conducted a descriptive-analytical study using historical cohort that has been performed on the bases of information presented in nmedical record of patients with oesophageal cancer referred to the shahid Rajaii radiotherapy cancer in Babilsar from 1992 to 1996.out of 523 patients,we followed 130 patients in nonrandomized convenience sampling based on the availability of the address for corressponding .the data was analysed using survival analysis by nonparametric method of Kaplan Meier and Cox regression model and the risk ratio(RR)nof prognostic factors was determined.the results showed that the suevival rates in patients with oesophageal cancer were 0.42 in 1 year,0.21 in 2 year,0.11 in 3 years and 0.08 in 65 years after diagnosis.the patients with the age of 50-64 years had poorer survival rate than ones under 50 years of age and the risk ratio in this age group has been significantly in creased (RR=1.73,P=0.01): the risk ratio for patients above 65 years in comparison with patients under 50 years was 1.88(p=0.01).the fameles had better suevival than males significantly (rr=0.71,p=0.02).for each 100 rads dose of radiotherapy,the risk ratio was decreased by 1%(RR=0.99,p=0.05):for each session of radiotherapy,the risk ratio significantly increased (RR=0.96,p=0.0001):for each square centimeter surface area under radiotherapy,the risk ratio significantly increased(RR=1.002,p=0.04).we did not observed a significant difference on survival based of the type of histology,anatomical location,and the type of treatment(p>0.05).although the survival of patients with oeophageal carcinoma has been significantly related to sex,age,radiation dise,frequency of treatment and surface size of radiotherapy,the prognosis is extremely poor.to compare various combined modality of treatment of oesophageal cancer , a more randomized clinical trials with enough sample size is suggested.
similar resources
Identification of Factors Affecting Metastatic Gastric Cancer Patients’ Survival Using the Random Survival Forest and Comparison with Cox Regression Model
Background and Objectives: In survival analysis, using the Cox model to determine the effective factors requires the assumptions whose failure of leads to biased results. The aim of this paper was to determine the factors affecting the survival of metastatic gastric cancer patients using the non-parametric method of Randomized Survival Forest (RSF) model and to compare its result with the Cox m...
full textThe Effect of Time-dependent Prognostic Factors on Survival of Non-Small Cell Lung Cancer using Bayesian Extended Cox Model
Abstract Background: Lung cancer is one of the most common cancers around the world. The aim of this study was to use Extended Cox Model (ECM) with Bayesian approach to survey the behavior of potential time-varying prognostic factors of Non-small cell lung cancer. Materials and Methods: Survival status of all 190 patients diagnosed with Non-Small Cell lung cancer referring to hospitals in ...
full textDetermining the Prognostic Factors of Survival in Patients with Head and Neck Cancer Using Parametric Models and Cox Bayesian Model, from 2007 to 2013
Introduction: Head and neck cancer is one of the most important cancers with low survival. This study was designed to evaluate the one-year survival of patients with head and neck cancer and related demographic factors. Methods: The present study was a cross-sectional study that reviewed the records of the patients with head and neck cancer (193 patients) in 2007-2013. In this study, Kaplan-Me...
full textEvaluation of risk factors of recurrence of hodgkin\'s lymphoma using random survival forest and comparison with cox regression model
Background: In many studies, Cox regression was used to assess the important factors that affect the survival of cancer patients based on demographic and clinical variables. The aim of this study was to determine the factors affecting the survival of patients with Hodgkin's lymphoma using the random survival forest (RSF) method and compare it with the Cox model. Methods: In this retrospective ...
full textalternative for the cox regression model: using parametric models to analyze the survival of cancer patients
background: although the cox proportional hazard regression is the most popular model for analyzing the prognostic factors on survival of cancer patients, under certain circumstances, parametric models estimate the parameter more efficiently than the cox model. the aim of this study was to compare the cox regression model with parametric models in patients with gastric cancer who registered a...
full textPrognostic Factors in the Survival Rate of Patients with Differentiated Thyroid Cancer
Background: Thyroid cancer is the most prevalent malignancy of the endocrine systemcancers. Thyroid cancer has increased faster thatn any other malignancy in recent years. Tyroid cancer has different histopathologic types, of which the most common is the differentiated type. Different factors can affect the prognosis of the patients. In this study, we investigated different factors that can aff...
full textMy Resources
Journal title
volume 9 issue 4
pages 222- 230
publication date 2002-09-01
By following a journal you will be notified via email when a new issue of this journal is published.
Hosted on Doprax cloud platform doprax.com
copyright © 2015-2023