title: [The database of the Italian cancer registries: estimates of the observed populations].
abstract: OBJECTIVE
  Building a database with the estimates of the observed populations of the Italian Cancer Registries (CR), subdivided into sex, annual age classes and calendar year; making this population database available in the AIRT website; making available an Excel file that allows the input of a population by 5-year age classes in order to obtain an esteem of the annual classes.
  
  
  METHODS
  Employment of different interpolation methods, namely annual age classes starting from 5-year classes, an esteem of the final open class of 85 years and over.
  
  
  METHODS
  17 CRs that take part to the incidence and mortality trend study promoted by AIRT in 2003.
  
  
  METHODS
  AIRT.
  
  
  RESULTS
  A database of the estimated populations observed by the CRs by sex and annual age classes on 31 December of each incidence year.
  
  
  RESULTS
  Only for 6 on 17 CRs taking part in the AIRT trend terpolation methods have been used. The performance of these methods, tested with an empirical measure of error called WMISE, have given good results, even if in the elderly classes the fit is poor and sometimes not sufficient.
  
  
  CONCLUSIONS
  Different interpolation methods have been used to build and make available a database containing reliable data of population, in order to use them as denominators for the incidence and mortality trend analysis. It is also available an Excel file that allows the input of a population by 5-year age classes in order to obtain an esteem of the annual classes.
authors.affiliation: Registro tumori del Veneto, Azienda ospedaliera di Padova. stefano.guzzinati@unipd.it
authors.forename: Stefano
authors.initials: S
authors.lastname: Guzzinati
authors.forename: Alessandra
authors.initials: A
authors.lastname: Spitale
authors.forename: Guido
authors.initials: G
authors.lastname: Miccinesi
authors.forename: Paola
authors.initials: P
authors.lastname: Zambon
authors.forename: Stefano
authors.initials: S
authors.lastname: Rosso
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D002648:Child; D016208:Databases, Factual; D006801:Humans; D007558:Italy / Q000453:epidemiology; D008875:Middle Aged; D009369:Neoplasms / Q000453:epidemiology*; D012042:Registries