Different patterns in the prognostic value of age for @entity150 -specific survival depending on XXXX stages.

@entity1 @entity150 @entity5
To compare the pathological features and long-term survival of @entity150 ( @entity150 ) in young @entity1 with elderly counterparts. Using the U.S. National @entity5 Institute's Surveillance, Epidemiology, and End Results (SEER) population-based data, we identified 93115 @entity1 with non-metastatic @entity150 diagnosed between 1988 and 2003. @entity1 were categorized into young (50 years and under) and elderly groups (over 50 years of age). The overall and five-year @entity150 specific survival (BCSS) data were obtained using Kaplan-Meier plots. Multivariable Cox regression models were built for the analysis of long-term survival outcomes and risk factors. There were significant differences between the two groups in primary site, pathologic grading, histologic type, AJCC stage (p<0.001). The overall and 5-year cancer specific survival rates were 88.1% and 90.8% in young group, 64.8% and 81.3% in elderly group, which had significant difference in both univariate and multivariate analysis (p<0.001). Further analysis showed this significant difference existed across all the AJCC stage @entity1 . The study findings show different patterns in the prognostic value of age for determining BCSS, depending on the @entity5 stages. Compared with elderly @entity1 , young @entity1 with @entity150 surgery appear to have unique characteristics and a higher overall and cancer specific survival rate.
