BACKGROUND: Treatment decisions for @entity674 ( @entity674 ) are frequently guided by tumor characteristics. An accurate prediction of recurrence is important to determine the benefit from targeted therapy. Our goal was to compare the concordance of three validated risk stratification schemes with observed outcomes in @entity1 undergoing resection for GISTs. METHODS: @entity1 who underwent surgery for GISTs from 2001 to 2011 at a tertiary centre were identified. Survival was evaluated using the Kaplan-Meier product-limit method. Cox proportional hazard models were used to obtain predicted recurrence for each system and concordance indices were calculated. RESULTS: Of 110 @entity1 identified, 77 (70.0%) had surgery and 29 (26.4%) also received adjuvant therapy. The majority of @entity1 had @entity5 that were very low (4.5%), low (32.7%), or intermediate (22.7%) in terms of malignant potential. R0 resection was achieved in 89.1% of cases. Observed 2-year and 5-year recurrence rates were significantly lower than those predicted by the Memorial Sloan Kettering Cancer Center nomogram (7.6% vs. 19.3% and 18.4% vs. 27.0%); however, it was the most favorable tool compared to the US National Institutes of Health (NIH)-consensus (P   =   0.0017) and modified NIH-consensus (P   <   0.001), with a concordance index of 0.811. CONCLUSION: Development of a novel predictive tool that includes additional prognostic factors may better stratify recurrence following resection for @entity674 . J. Surg. Oncol.    2014 Wiley Periodicals, Inc.

The accuracy of three predictive models in the evaluation of recurrence rates for XXXX .

@entity1 :: ('9606', 'Species') :: ['Patients', 'patients'] @entity5 :: ('MESH:D009369', 'Disease') :: ['tumors'] @entity674 :: ('MESH:D046152', 'Disease') :: ['gastrointestinal stromal tumors', 'GIST']
@entity674 :: (MESH:D046152,Disease) :: ['gastrointestinal stromal tumors']
