Literature DB >> 17991360

Risk assessment models to estimate cancer probabilities.

Constance M Johnson1, Derek Smolenski.   

Abstract

Cancer risk has become a significant research topic due to an increase in statistical risk models built to predict cancer incidence or mortality. Over the past 3 years, 15 models on the development of different types of cancer, including breast, colorectal, prostate, gastric, lung, ovarian, pancreatic, testicular, and skin, have been published. Risk assessment models are dynamic; they need to be updated as often as risks are discovered or changed. Not only are cancer risk models challenging to build, but, due to literacy-related issues, the cancer risk itself is challenging to communicate to the public. Clearly, guidelines outlining how to create valid and reliable risk assessment models are needed.

Entities:  

Mesh:

Year:  2007        PMID: 17991360     DOI: 10.1007/s11912-007-0071-7

Source DB:  PubMed          Journal:  Curr Oncol Rep        ISSN: 1523-3790            Impact factor:   5.075


  39 in total

1.  Assessing prostate cancer risk: results from the Prostate Cancer Prevention Trial.

Authors:  Ian M Thompson; Donna Pauler Ankerst; Chen Chi; Phyllis J Goodman; Catherine M Tangen; M Scott Lucia; Ziding Feng; Howard L Parnes; Charles A Coltman
Journal:  J Natl Cancer Inst       Date:  2006-04-19       Impact factor: 13.506

2.  The effect of numerical statements of risk on trust and comfort with hypothetical physician risk communication.

Authors:  Andrea D Gurmankin; Jonathan Baron; Katrina Armstrong
Journal:  Med Decis Making       Date:  2004 May-Jun       Impact factor: 2.583

3.  Statins and cancer risk: a meta-analysis.

Authors:  Krista M Dale; Craig I Coleman; Nickole N Henyan; Jeffrey Kluger; C Michael White
Journal:  JAMA       Date:  2006-01-04       Impact factor: 56.272

4.  Cancer risk assessment: present and future.

Authors:  Wiesław Szymczak; Irena Szadkowska-Stańczyk
Journal:  Int J Occup Med Environ Health       Date:  2005       Impact factor: 1.843

5.  Risk factors and individual probabilities of melanoma for whites.

Authors:  Eunyoung Cho; Bernard A Rosner; Diane Feskanich; Graham A Colditz
Journal:  J Clin Oncol       Date:  2005-04-20       Impact factor: 44.544

6.  Epidemiology and quantitative risk assessment: a bridge from science to policy.

Authors:  I Hertz-Picciotto
Journal:  Am J Public Health       Date:  1995-04       Impact factor: 9.308

7.  Projecting absolute invasive breast cancer risk in white women with a model that includes mammographic density.

Authors:  Jinbo Chen; David Pee; Rajeev Ayyagari; Barry Graubard; Catherine Schairer; Celia Byrne; Jacques Benichou; Mitchell H Gail
Journal:  J Natl Cancer Inst       Date:  2006-09-06       Impact factor: 13.506

8.  Incidence and risk factors for the occurrence of non-AIDS-defining cancers among human immunodeficiency virus-infected individuals.

Authors:  Alina Burgi; Stephanie Brodine; Scott Wegner; Mark Milazzo; Mark R Wallace; Katherine Spooner; David L Blazes; Brian K Agan; Adam Armstrong; Susan Fraser; Nancy F Crum
Journal:  Cancer       Date:  2005-10-01       Impact factor: 6.860

9.  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

10.  Risks and benefits of estrogen plus progestin in healthy postmenopausal women: principal results From the Women's Health Initiative randomized controlled trial.

Authors:  Jacques E Rossouw; Garnet L Anderson; Ross L Prentice; Andrea Z LaCroix; Charles Kooperberg; Marcia L Stefanick; Rebecca D Jackson; Shirley A A Beresford; Barbara V Howard; Karen C Johnson; Jane Morley Kotchen; Judith Ockene
Journal:  JAMA       Date:  2002-07-17       Impact factor: 56.272

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.