Ghasem Yadegarfar
Isfahan University of Medical Sciences, Isfahan, Iran
Title: Predictors of Lung cancer Survival in Iran: A cohort study in Yazd Province 2008 to 2012
Biography
Biography: Ghasem Yadegarfar
Abstract
Introduction: Lung cancer is one of the most common cancers in the world and considered as one of the top five cancers in Iran. The study aims to explore the predictors of lung cancer survival in Yazd province located at centre of Iran.
Materials and Methods: This prospective cohort study conducted on 207 lung cancer patients between 2008 to 2012. To collect required data, Yazd Cancer Registry Office, Province Vital Statistics Department, telephone interview, and hospital records were used. To explore predictors of lung cancer survival, Cox Regression were applied using SPSS. To compare survival rate in different subgroups, the Log Rank test was employed.
Result: Of 207 patients, 132 cases were male (63.8%). Overall, mean age at diagnosis was 63.7±14.1 years. The mean and median survival time were 15.4 and 10.8 months, respectively. Cox regression analysis results revealed age as the most important predictor of survival. The one, three and five year survival rates were predicted as 0.23, 0.05 and 0.03, respectively.
Conclusion: Age plays the role of main predictor of lung cancer survival. The survival rates in Yazd province predicts less than reported for the worldwide and the whole country, Iran. However, this result may be affected by selection bias.
Keywords: Lung Cancer, Survival Rate, Risk Factors, Epidemiology