Literature DB >> 3697944

Do the predictions for cancer incidence come true? Experience from Finland.

T Hakulinen, L Teppo, E Saxén.   

Abstract

The observed occurrence of cancer in Finland in 1980 was compared with that predicted by extrapolation of the trends in cancer incidence by site in 1957 to 1968. The predictions had been constructed as 90% confidence intervals. Of the mutually exclusive 33 incidence predictions, 22 (67%) included the observed incidence rate. The incidence rate was successfully predicted for intestinal, pancreatic, and urinary cancers, as well as for lymphomas, whereas incidence forecasts concerning cancers of the lung, breast, and cervix uteri, and melanomas of the skin did not come true. The incidence of male lung cancer did not increase as was expected, breast cancer incidence increased even more than expected, and the decrease in the incidence of cervical cancer was steeper than expected. Because of failure in the population forecast, only 55% of the predictions (90% confidence intervals) for the numbers of new cancer cases included the observed number. For administrative purposes it would be important for the predictions to come true. On the other hand, the successes or failures of the predictions related to specific cancers may be used to study the effect of changes in etiologic factors, diagnostic methods, or the definition of cancer, as well as the effect of mass screening or other intervention measures upon the cancer incidence. Extrapolation as a method of forecasting cancer incidence is adequate as far as the control of random error is concerned when only short-term forecasts, ranging from 5 to 10 years, are needed.

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Year:  1986        PMID: 3697944     DOI: 10.1002/1097-0142(19860615)57:12<2454::aid-cncr2820571235>3.0.co;2-d

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  8 in total

1.  Monitoring and projecting cancer incidence in Saarland, Germany, based on age-cohort analyses.

Authors:  H Brenner; H Ziegler
Journal:  J Epidemiol Community Health       Date:  1992-02       Impact factor: 3.710

2.  End-stage renal disease in Canada: prevalence projections to 2005.

Authors:  D E Schaubel; H I Morrison; M Desmeules; D A Parsons; S S Fenton
Journal:  CMAJ       Date:  1999-06-01       Impact factor: 8.262

3.  Mortality predictions for esophageal, stomach, and pancreatic cancer, Ireland, up to 2015.

Authors:  P O'Lorcain; S Deady; H Comber
Journal:  Int J Gastrointest Cancer       Date:  2006

4.  Empirical evaluation of prediction intervals for cancer incidence.

Authors:  Bjørn Møller; Harald Weedon-Fekjaer; Tor Haldorsen
Journal:  BMC Med Res Methodol       Date:  2005-06-10       Impact factor: 4.615

5.  Projection scenarios of body mass index (2013-2030) for Public Health Planning in Quebec.

Authors:  Ernest Lo; Denis Hamel; Yun Jen; Patricia Lamontagne; Sylvie Martel; Colin Steensma; Chantal Blouin; Russell Steele
Journal:  BMC Public Health       Date:  2014-09-25       Impact factor: 3.295

Review 6.  Describing and Modeling the Burden of Hospitalization of Patients With Neoplasms in Ghana Using Routine Health Data for 2012-2017.

Authors:  Clement T Narh; Joyce B Der; Anthony Ofosu; Maria Blettner; Daniel Wollschlaeger
Journal:  JCO Glob Oncol       Date:  2022-08

7.  Predictions of cancer incidence in Wielkopolska in 2018.

Authors:  Dariusz Godlewski; Piotr Wojtyś; Andrzej Antczak
Journal:  Contemp Oncol (Pozn)       Date:  2012-02-29

8.  Prediction of the gastric cancer mortality in 2000 in Japan.

Authors:  S Watanabe; S Tsugane; Y Ohno
Journal:  Jpn J Cancer Res       Date:  1988-04
  8 in total

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