Literature DB >> 21344202

Modelling to estimate future trends in cancer prevalence.

Francesca Fiorentino1, Jacob Maddams, Henrik Møller, Martin Utley.   

Abstract

Recent estimates suggest that there are 2 million people in the UK living with or beyond a diagnosis of cancer and there is increasing attention being given to assessing the health and social care needs of this growing population. A simple analytical model has been constructed to estimate future trends in cancer prevalence, using existing prevalence estimates and trends in cancer incidence and survival. Separate estimates are generated for the contribution to future prevalence due to the current prevalent population and that due to future diagnoses. For the current prevalent population, we adopt a conditional survival model incorporating time since diagnosis in addition to age, tumour type and other factors. We discuss the analytical framework that has been constructed and its intended use in providing information that is useful to those planning health and social care services.

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Year:  2011        PMID: 21344202     DOI: 10.1007/s10729-011-9149-8

Source DB:  PubMed          Journal:  Health Care Manag Sci        ISSN: 1386-9620


  3 in total

1.  MIAMOD: a computer package to estimate chronic disease morbidity using mortality and survival data.

Authors:  G De Angelis; R De Angelis; L Frova; A Verdecchia
Journal:  Comput Methods Programs Biomed       Date:  1994-08       Impact factor: 5.428

2.  Estimation and projections of cancer prevalence from cancer registry data.

Authors:  Arduino Verdecchia; Giovanni De Angelis; Riccardo Capocaccia
Journal:  Stat Med       Date:  2002-11-30       Impact factor: 2.373

3.  Cancer prevalence in the United Kingdom: estimates for 2008.

Authors:  J Maddams; D Brewster; A Gavin; J Steward; J Elliott; M Utley; H Møller
Journal:  Br J Cancer       Date:  2009-06-30       Impact factor: 7.640

  3 in total
  1 in total

1.  Projections of cancer prevalence in the United Kingdom, 2010-2040.

Authors:  J Maddams; M Utley; H Møller
Journal:  Br J Cancer       Date:  2012-08-14       Impact factor: 7.640

  1 in total

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