title: Predictions of epidemiology and the evaluation of cancer control measures and the setting of policy priorities.
abstract: Cancer incidence predictions may be constructed for administrative and scientific purposes. For administrative purposes it is often important that the predictions come true. The resources planned on the basis of the predictions and allocated on the diagnostics, treatment and rehabilitation can then be optimally utilized. However, predictions that do not materialize can also be useful. The effects of intervention or early detection programmes express themselves as failures of predictions that have been made in the absence of such programmes. Predictions of cancer incidence in Finland are used as examples. The prerequisite for the predictions is a well-functioning population-based cancer registry. The predictions were constructed using time trends and differentials in cancer incidence with or without the aetiological or other risk factors. Short-term, 10-15 year predictions with no explicit use of risk factors, have proven successful with most cancers, e.g. those of the colon, rectum, pancreas and urinary organs, and lymphomas. The marked prediction failures have occurred for cancers of the lung and breast. Predictions for these cancers have been improved by taking aetiological or other risk factors explicitly into account. The cancer consequences of the preventive cardiovascular programme in North Karelia have been evaluated using predictions. The effectiveness of screening for cervical cancer at population level was predicted on the basis of estimated parameters of the natural history of the disease.(ABSTRACT TRUNCATED AT 250 WORDS)
authors.affiliation: Finnish Cancer Registry, Helsinki.
authors.forename: T
authors.initials: T
authors.lastname: Hakulinen
authors.forename: M
authors.initials: M
authors.lastname: Hakama
mesh_terms: D000328:Adult; D004812:Epidemiologic Methods; D005260:Female; D005387:Finland / Q000453:epidemiology; D005544:Forecasting; D006292:Health Priorities; D006801:Humans; D015994:Incidence; D008297:Male; D009369:Neoplasms / Q000453:epidemiology / Q000517:prevention & control*; D015397:Program Evaluation; D011640:Public Policy