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Development of a Cancer Risk Prediction Tool for Use in the UK Primary Care and Community Settings.
Lophatananon, Artitaya; Usher-Smith, Juliet; Campbell, Jackie; Warcaba, Joanne; Silarova, Barbora; Waters, Erika A; Colditz, Graham A; Muir, Kenneth R.
Afiliação
  • Lophatananon A; Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom. artitaya.lophatananon@manchester.ac.uk.
  • Usher-Smith J; The Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom.
  • Campbell J; Institute of Health and Wellbeing, The University of Northampton, Northampton, United Kingdom.
  • Warcaba J; Moulton Surgery, Northampton Lane, Northampton, United Kingdom.
  • Silarova B; MRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom.
  • Waters EA; Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, Missouri.
  • Colditz GA; Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, Missouri.
  • Muir KR; Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom.
Cancer Prev Res (Phila) ; 10(7): 421-430, 2017 Jul.
Article em En | MEDLINE | ID: mdl-28559460
Several multivariable risk prediction models have been developed to asses an individual's risk of developing specific cancers. Such models can be used in a variety of settings for prevention, screening, and guiding investigations and treatments. Models aimed at predicting future disease risk that contains lifestyle factors may be of particular use for targeting health promotion activities at an individual level. This type of cancer risk prediction is not yet available in the UK. We have adopted the approach used by the well-established U.S.-derived "YourCancerRisk" model for use in the UK population, which allow users to quantify their individual risk of developing individual cancers relative to the population average risk. The UK version of "YourCancerRisk" computes 10-year cancer risk estimates for 11 cancers utilizing UK figures for prevalence of risk factors and cancer incidence. Because the prevalence of risk factors and the incidence rates for cancer are different between the U.S. and the UK population, this UK model provides more accurate estimates of risks for a UK population. Using an example of breast cancer and data from UK Biobank cohort, we demonstrate that the individual risk factor estimates are similar for the U.S. and UK populations. Assessment of the performance and validation of the multivariate model predictions based on a binary score confirm the model's applicability. The model can be used to estimate absolute and relative cancer risk for use in Primary Care and community settings and is being used in the community to guide lifestyle change. Cancer Prev Res; 10(7); 421-30. ©2017 AACR.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Atenção Primária à Saúde / Modelos Estatísticos / Promoção da Saúde / Neoplasias Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Aged / Aged80 / Child / Female / Humans / Male / Middle aged País/Região como assunto: America do norte / Europa Idioma: En Revista: Cancer Prev Res (Phila) Assunto da revista: NEOPLASIAS Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Reino Unido País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Atenção Primária à Saúde / Modelos Estatísticos / Promoção da Saúde / Neoplasias Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Aged / Aged80 / Child / Female / Humans / Male / Middle aged País/Região como assunto: America do norte / Europa Idioma: En Revista: Cancer Prev Res (Phila) Assunto da revista: NEOPLASIAS Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Reino Unido País de publicação: Estados Unidos