ASSESSMENT OF PROGNOSTIC FACTORS FOR CERVICAL CANCER IN GEORGIA

Abstract

The study aims to assess prognostic factors for cervical cancer (CC) during the period of 2015 and 2019 in Georgia. Bivariable and Multivariable survival Analysis using Cox’s regression model was constructed. A hazard (mortality) ratio (HR) was estimated. The level of statistical significance of the study findings is estimated by using p-value and the 95% of confidence interval (95%CI). Totally 1646 CC patients were enrolled in the study. Bivariate statistical analysis has revealed that cancer diagnosed over 60 years of age had a higher death hazard (HR=1.8; 95%CI=1.3-2.6; p value=0.001) compared to cancer detected under 59 years (HR=3.3; 95%CI=2.3-4.8; p-value<0.001). Multivariable statistical analysis detected that stage (HR=10.2; 95%CI=7.2-14.5; p-value<0.001)  and age (HR=1.6; 95%CI=1.4-1.9; p-value<0.001) at diagnosis are independent statistically significant predictors for high mortality in patients diagnosed with cervical cancer, while the role of histological grade has not been revealed to be statistically associated with the outcome (HR=1.0; 95%CI=0.9-1.1; p value=0.13).