BACKGROUND: With the large amounts of data on @entity1 , @entity5 , and treatment factors available to clinicians, it has become critically important to harness this information to guide clinicians in discussing a @entity1 's prognosis. However, no widely accepted survival calculator is available that uses national data and includes multiple prognostic factors. Our objective was to develop a model for predicting survival among @entity1 diagnosed with @entity0 using the National Cancer Data Base (NCDB) to serve as a prototype for the Commission on Cancer's "Cancer Survival Prognostic Calculator." @entity1 AND METHODS: A retrospective cohort of @entity1 diagnosed with @entity0 (2003-2006) in the NCDB was included. A multivariable Cox proportional hazards regression model to predict overall survival was developed. Model discrimination by 10-fold internal cross-validation and calibration was assessed. RESULTS: There were 296,284 @entity1 for model development and internal validation. The c-index for the 10-fold cross-validation ranged from 0.779 to 0.788 after inclusion of all available pertinent prognostic factors. A plot of the observed versus predicted 5  year overall survival showed minimal deviation from the reference line. CONCLUSION: This @entity0 survival prognostic model to be used as a prototype for building the Commission on Cancer's "Cancer Survival Prognostic Calculator" will offer @entity1 and clinicians an objective opportunity to estimate personalized long-term survival based on @entity1 demographic characteristics, @entity5 factors, and treatment delivered.

Development of a model to predict XXXX survival using data from the National Cancer Data Base.

@entity1 :: ('9606', 'Species') :: ['patients', 'patient', 'PATIENTS'] @entity0 :: ('MESH:D001943', 'Disease') :: ['breast cancer'] @entity5 :: ('MESH:D009369', 'Disease') :: ['tumor']
@entity0 :: (MESH:D001943,Disease) :: ['breast cancer']
