XXXX outcomes in a population with high prevalence of @entity28 .

@entity1 @entity0 @entity28
BACKGROUND: Obesity has been associated with poor prognosis in @entity0 . However, most previous studies examined populations with relatively low proportions of @entity28 @entity1 . Given that forecasts predict @entity28 rates to exceed 50% by 2030, it is important to examine @entity0 outcomes in populations with higher rates of @entity28 . We hypothesized that @entity28 , as measured by body mass index (BMI), is associated with decreased overall survival and disease-free survival in @entity1 with @entity0 in a population with a high prevalence of @entity28 . METHODS: A retrospective review of a prospectively maintained database was conducted on @entity1 treated for @entity0 at an academic medical center between 1997 and 2013. BMI was calculated from each @entity1 's height and weight at the time of diagnosis. @entity1 were categorized as normal (BMI <25  kg/m(2)), overweight (BMI 25-30  kg/m(2)), or @entity28 (BMI >30  kg/m(2)), as per the definitions established by the World Health Organization. The end points of overall survival and disease-free survival were analyzed. RESULTS: A total of 523 @entity1 with @entity0 were included for analysis. Based on BMI, 87 (16%) were categorized as normal, 150 (29%) were overweight, and 286 (55%) were @entity28 . The median follow-up was 49  mo. There were 16 deaths (18.4%) in normal @entity1 , 25 (16.7 %) in overweight @entity1 , and 45 (15.7%) in @entity28 @entity1 (P  =  0.84). By Kaplan-Meier survival analysis, there were no differences in overall survival (P  =  0.49) or in disease-free survival (P  =  0.33) among the three groups. CONCLUSIONS: Obesity is not associated with decreased overall or disease-free survival in a @entity1 population with a high prevalence of @entity28 . These findings suggest that there may be other factors that contribute to the poor prognosis of @entity0 @entity1 observed in populations with lower rates of @entity28 .
