PURPOSE: Survival of elder oncological @entity1 may depend on the @entity5 disease, on reasons not related to the underlying disease or simply on @entity1 's age. Therefore @entity1 ' age has to be taken into account if the objective of an oncological study is the disease-related survival. Basically, there are 3 different approaches: multivariate statistical modelling, estimation of disease-related survival after censoring of cases with cause of @entity204 not due to the @entity5 disease, and consideration of demographical data in the general population. @entity1 AND METHODS: Our paper deals with the age correction using the data from the 1986/88 census in Germany. We have written a computer program based on SPSSWIN, which allows an automated age correction. Using clinical data of radiotherapy after surgical therapy of @entity150 , we illustrate the method. RESULTS: The estimated 5-year-survival using the age correction was--dependent on @entity1 's age in the sample--10% up to 15% higher than the uncorrected rate. In the whole sample of 333 unselected @entity1 , 5-year-survival was corrected from 47% to 59%. In the normal population adjusted for age- and sex-distribution, the expected survival rate was 80%. CONCLUSIONS: The age correction has substantial influence on survival analysis of male @entity1 elder than 60 years and female @entity1 elder than 70 years. It should therefore be used in oncological studies investigating long-term survival of @entity1 in these age-groups.

[The age correction of survival probabilities in XXXX studies].

@entity1 :: ('9606', 'Species') :: ['patients', 'patient', 'PATIENTS'] @entity150 :: ('MESH:D001749', 'Disease') :: ['bladder cancer'] @entity204 :: ('MESH:D003643', 'Disease') :: ['death'] @entity5 :: ('MESH:D009369', 'Disease') :: ['tumor']
@entity5 :: (MESH:D009369,Disease) :: ['cancer']
