Multivariate independent prognostic factors in @entity1204 : a clinicopathologic study in 181 XXXX : 10 years experience at the Department of Obstetrics and Gynecology of the Mainz University.

@entity1204 @entity1 @entity1420 @entity6 @entity5 @entity1600 @entity3
The aim of this study was to evaluate the biologic outcome of @entity1204 as compared to clinical and pathologic parameters and to identify multivariate independent prognostic factors. Charts were abstracted from @entity1 with @entity1204 from 1985 to 1995. Data on clinicopathologic variables, adjuvant treatment, site of recurrence, and survival were collected. chi2 test was used to test association between variables. Kaplan-Maier method was used for survival analysis and Cox proportional hazards model for multiple regression analysis. Univariate analysis revealed that FIGO stage, @entity5 grade, depth of @entity3 , biochemical analysis of @entity1420 receptor status, age, additional @entity6 , @entity1600 , and type of @entity5 were significantly associated with the overall-survival. For disease-free interval, FIGO stage, @entity5 grade, depth of @entity3 , biochemical analysis of @entity1420 receptor status, @entity1600 , and type of @entity5 were also significantly associated. Multivariate analysis revealed that FIGO stage, @entity5 grading, @entity5 type, depth of @entity3 , and biochemically measured @entity1420 receptor status were associated significantly with overall survival. A significant correlation as independent prognostic factors were also seen for recurrence free interval for FIGO stage, @entity5 grade, and biochemical @entity1420 receptor status. In multivariate statistical analysis we identified FIGO stage, @entity5 type, @entity5 grade, biochemical analysis of @entity1420 receptor status, and depth of @entity3 as independent prognostic factors for overall survival, and FIGO stage, biochemical analysis of @entity1420 receptor status, and @entity5 grade as independent prognostic factors for recurrence-free interval.
