[Effect of body mass index on disease-free and XXXX in Chinese @entity1 with @entity0 ].

@entity1 @entity0 @entity28 @entity5 @entity3 @entity1349
OBJECTIVE: Obesity has been shown to be an indicator of poor prognosis for @entity1 with primary @entity0 . The aim of this study was to clarify the effect of @entity28 on Chinese @entity1 with @entity0 . METHODS: This is a retrospective analysis of 1699 @entity0 @entity1 . We evaluated the effect of body mass index (BMI) on disease-free survival (DFS) and @entity1349 ( @entity1349 ) in these @entity1 . BMI was obtained before surgery. Obesity was defined as a BMI >=  24. Kaplan-Meier analysis and Log rank test were employed to perform survival analysis. The impact of different characteristics on survival was assessed by using Cox proportional-hazards regression model. RESULTS: In total 635 (37.4%) @entity1 were @entity28 , while 1 064 (62.6%) were @entity28 . Comparing the @entity5 characteristics in the two groups, the BMI >=  24 group showed a higher rate of older age (P < 0.001), postmenopausal status (P < 0.001), increased risk of lymph node @entity3 (P = 0.001) and less chances of accepting breast conservation surgery (P = 0.012). The median follow-up time was 16 months, and the estimated 16-months DFS was 98.1% for @entity28 and 95.0% for @entity28 @entity1 (P = 0.007), the estimated 16-months @entity1349 was 99.4% for @entity28 and 98.4% for @entity28 @entity1 (P = 0.004). The multivariate analysis indicated that @entity28 is an independent prognostic factor for @entity1349 and DFS in @entity0 @entity1 . CONCLUSIONS: Our findings suggest that @entity28 is associated with a poorer outcome in Chinese female @entity1 with @entity0 .
