***TASK*** the task is to summarize an input biomedical literature in six sentences 
    ***INPUT*** the input is a biomedical literature 
    ***OUTPUT*** the output is the summary of an input biomedical literature in six sentences 
    ***DOCUMENTATION*** 
    ***EXAMPLES*** 
    Input: Summary Prognostic models that predict the clinical course of a breast cancer patient are important in oncology . We propose an approach to constructing such models based on fractional polynomials in which useful transformations of the continuous factors are determined . The idea may be applied with all types of regression model , including Cox regression , the method of choice for survival-time data . We analyse a prospect i ve study of node-positive breast cancer . Seven st and ard prognostic factors – age , menopausal status , tumour size , tumour grade , number of positive lymph nodes , progesterone and oestrogen receptor concentrations – were investigated in 686 patients , of whom 299 had an event for recurrence-free survival and 171 died . We determine a final model with transformations of prognostic factors and compare it with the more traditional approaches using categorized variables or assuming a straight line relationship . We conclude that analysis using fractional polynomials can extract important prognostic information which the traditional approaches may miss 
    Output:
    
General availability of full individual patient data is a necessary step forward and would overcome the majority of problems encountered , including poorly reported summary statistics and variability in cutoff level , outcome assessed and adjustment factors used .