Multivariate analysis of prognostic factors in XXXX .

@entity5 @entity1 @entity3 @entity1352
Many studies have described the diversity of @entity1352 in terms of its biological characteristics and clinical features. Moreover, much effort has been expended on the identification of prognostic factors because of unpredictable behaviors of @entity1352 . However, with the exception of @entity5 size, published results have been inconsistent. We attempted to identify independent risk factors using survival analysis. Forty-one consecutive @entity1 with @entity1352 were prospectively followed from January 1997 to March 2008. Overall and progression-free survival for age, sex, @entity5 size, @entity5 location, @entity3 at presentation, histologic subtype, chemotherapy, radiation therapy, and resection margin were analyzed, and standard multivariate Cox proportional hazard regression analysis was used to evaluate potential prognostic factors. @entity5 size (>5 cm), nonlimb-based @entity5 , @entity3 at presentation, and a monophasic subtype were associated with poorer overall survival. Multivariate analysis showed @entity3 at presentation and monophasic @entity5 subtype affected overall survival. For the progression-free survival, monophasic subtype was found to be only 1 prognostic factor. The study confirmed that histologic subtype is the single most important independent prognostic factors of @entity1352 regardless of @entity5 stage.
