Factors related to mortality in @entity1 with XXXX in long-term follow-up.

@entity3557 @entity1 @entity5 @entity3 @entity259
PURPOSE: @entity259 ( @entity259 ) includes @entity3557 ( @entity3557 ) and @entity259 ( @entity259 ). They have different biological behavior but are frequently analyzed together in studies. We aimed to identify factors associated with mortality in those two different @entity5 subtypes. METHODS: Case series study, with clinical-pathological analysis of the characteristics of 424 @entity1 with @entity3557 and 89 @entity1 with @entity259 , correlating them to survival rates in a single institution. RESULTS: @entity1 were followed from 1983 to 2011. Mean follow-up time was 9.4  years for @entity259 (range 1-36.6  years) and 6.8  years for @entity3557 (range 1.1-30.7  years). Mean age at diagnosis was 51.2      15.5 for @entity259 and 41      14.7  years for @entity3557 . 50.62  % of @entity259 nodules sized 1.1-4  cm and 20  % of @entity3557 sized  <=1  cm. Cox multiple regression analysis evidenced distant @entity3 at diagnosis (p  =  0.0038; relative risk (RR) 41.247, 95  % confidence interval (CI) 3.317-512.986), lymph node @entity3 at diagnosis (p  =  0.0081; RR 50.98, 95  % CI 2.783-934.026) and vascular/lymphatic invasion (p  =  0.0039; RR 40.424, 95  % CI 3.287-497.177) as factors related to mortality in @entity259 @entity1 . For @entity3557 , the factors were distant @entity3 at diagnosis (p  <  0.0001; RR 32.5, 95  % CI 6.676-158.543) and degree of differentiation (poor versus well differentiated, p  =  0.003; RR 10.4, 95  % CI 2.218-49.487). CONCLUSION: The common factor that influenced mortality for @entity259 and @entity3557 @entity1 was distant @entity3 at diagnosis, increasing mortality rate by 41 times in @entity259 and 30 times in @entity3557 @entity1 . The different factors influencing mortality for different @entity259 types highlight the importance of analyzing them separately.
