Cancer incidence and mortality projections up to 2020 in Catalonia by means of Bayesian models

Clin Transl Oncol. 2014 Aug;16(8):714-24. doi: 10.1007/s12094-013-1140-z. Epub 2013 Dec 12.

Abstract

Purpose: To predict the burden of cancer in Catalonia by 2020 assessing changes in demography and cancer risk during 2010-2020.

Methods/patients: Data were obtained from Tarragona and Girona cancer registries and Catalan mortality registry. Population age distribution was obtained from the Catalan Institute of Statistics. Predicted cases in Catalonia were estimated through autoregressive Bayesian age-period-cohort models.

Results: There will be diagnosed 26,455 incident cases among men and 18,345 among women during 2020, which means an increase of 22.5 and 24.5 % comparing with the cancer incidence figures of 2010. In men, the increase of cases (22.5 %) can be partitioned in three components: 12 % due to ageing, 8 % due to increase in population size and 2 % due to cancer risk. In women, the role of each component was 9, 8 and 8 %, respectively. The increased risk is mainly expected to be observed in tobacco-related tumours among women and in colorectal and liver cancers among men. During 2010-2020 a mortality decline is expected in both sexes.

Conclusion: The expected increase of cancer incidence, mainly due to tobacco-related tumours in women and colorectal in men, reinforces the need to strengthen smoking prevention and the expansion of early detection of colorectal cancer in Catalonia.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Age Distribution
  • Aged
  • Bayes Theorem
  • Female
  • Humans
  • Incidence
  • Male
  • Middle Aged
  • Neoplasms / epidemiology*
  • Registries
  • Sex Distribution
  • Spain / epidemiology