Literature DB >> 28559460

Development of a Cancer Risk Prediction Tool for Use in the UK Primary Care and Community Settings.

Artitaya Lophatananon1, Juliet Usher-Smith2, Jackie Campbell3, Joanne Warcaba4, Barbora Silarova5, Erika A Waters6, Graham A Colditz6, Kenneth R Muir7.   

Abstract

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. ©2017 American Association for Cancer Research.

Entities:  

Mesh:

Year:  2017        PMID: 28559460      PMCID: PMC5501968          DOI: 10.1158/1940-6207.CAPR-16-0288

Source DB:  PubMed          Journal:  Cancer Prev Res (Phila)        ISSN: 1940-6215


  24 in total

1.  Cumulative risk of breast cancer to age 70 years according to risk factor status: data from the Nurses' Health Study.

Authors:  G A Colditz; B Rosner
Journal:  Am J Epidemiol       Date:  2000-11-15       Impact factor: 4.897

Review 2.  Risk Prediction Models for Lung Cancer: A Systematic Review.

Authors:  Eoin P Gray; M Dawn Teare; John Stevens; Rachel Archer
Journal:  Clin Lung Cancer       Date:  2015-12-01       Impact factor: 4.785

3.  A prospective study of folate intake and the risk of breast cancer.

Authors:  S Zhang; D J Hunter; S E Hankinson; E L Giovannucci; B A Rosner; G A Colditz; F E Speizer; W C Willett
Journal:  JAMA       Date:  1999-05-05       Impact factor: 56.272

4.  Harvard report on cancer prevention volume 4: Harvard Cancer Risk Index. Risk Index Working Group, Harvard Center for Cancer Prevention.

Authors:  G A Colditz; K A Atwood; K Emmons; R R Monson; W C Willett; D Trichopoulos; D J Hunter
Journal:  Cancer Causes Control       Date:  2000-07       Impact factor: 2.506

5.  Determining the main risk factors and high-risk groups of breast cancer using a predictive model for breast cancer risk assessment in South Korea.

Authors:  Eun-Ok Lee; Sei-Hyun Ahn; Chunghee You; Dong-Suk Lee; Wonshik Han; Kuk-Jin Choe; Dong-Young Noh
Journal:  Cancer Nurs       Date:  2004 Sep-Oct       Impact factor: 2.592

6.  Breast cancer risk assessment in the Czech female population--an adjustment of the original Gail model.

Authors:  Jan Novotny; Ladislav Pecen; Lubos Petruzelka; Adam Svobodnik; Ladislav Dusek; Jan Danes; Miloslava Skovajsova
Journal:  Breast Cancer Res Treat       Date:  2005-12-01       Impact factor: 4.872

7.  Validation of the Harvard Cancer Risk Index: a prediction tool for individual cancer risk.

Authors:  Daniel J Kim; Beverly Rockhill; Graham A Colditz
Journal:  J Clin Epidemiol       Date:  2004-04       Impact factor: 6.437

8.  Contribution of three components to individual cancer risk predicting breast cancer risk in Italy.

Authors:  P Boyle; M Mezzetti; C La Vecchia; S Franceschi; A Decarli; C Robertson
Journal:  Eur J Cancer Prev       Date:  2004-06       Impact factor: 2.497

Review 9.  Risk models to predict chronic kidney disease and its progression: a systematic review.

Authors:  Justin B Echouffo-Tcheugui; Andre P Kengne
Journal:  PLoS Med       Date:  2012-11-20       Impact factor: 11.069

Review 10.  Risk prediction tools for cancer in primary care.

Authors:  Juliet Usher-Smith; Jon Emery; Willie Hamilton; Simon J Griffin; Fiona M Walter
Journal:  Br J Cancer       Date:  2015-12-03       Impact factor: 7.640

View more
  2 in total

1.  Responses to provision of personalised cancer risk information: a qualitative interview study with members of the public.

Authors:  Juliet A Usher-Smith; Barbora Silarova; Artitaya Lophatananon; Robbie Duschinsky; Jackie Campbell; Joanne Warcaba; Kenneth Muir
Journal:  BMC Public Health       Date:  2017-12-22       Impact factor: 3.295

2.  Online Decision Support Tool for Personalized Cancer Symptom Checking in the Community (REACT): Acceptability, Feasibility, and Usability Study.

Authors:  Marzena Ewa Nieroda; Artitaya Lophatananon; Brian McMillan; Li-Chia Chen; John Hughes; Rona Daniels; James Clark; Simon Rogers; Kenneth Ross Muir
Journal:  JMIR Cancer       Date:  2018-07-04
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.