Literature DB >> 2593165

Projecting individualized probabilities of developing breast cancer for white females who are being examined annually.

M H Gail1, L A Brinton, D P Byar, D K Corle, S B Green, C Schairer, J J Mulvihill.   

Abstract

To assist in medical counseling, we present a method to estimate the chance that a woman with given age and risk factors will develop breast cancer over a specified interval. The risk factors used were age at menarche, age at first live birth, number of previous biopsies, and number of first-degree relatives with breast cancer. A model of relative risks for various combinations of these factors was developed from case-control data from the Breast Cancer Detection Demonstration Project (BCDDP). The model allowed for the fact that relative risks associated with previous breast biopsies were smaller for women aged 50 or more than for younger women. Thus, the proportional hazards models for those under age 50 and for those of age 50 or more. The baseline age-specific hazard rate, which is the rate for a patient without identified risk factors, is computed as the product of the observed age-specific composite hazard rate times the quantity 1 minus the attributable risk. We calculated individualized breast cancer probabilities from information on relative risks and the baseline hazard rate. These calculations take competing risks and the interval of risk into account. Our data were derived from women who participated in the BCDDP and who tended to return for periodic examinations. For this reason, the risk projections given are probably most reliable for counseling women who plan to be examined about once a year.

Entities:  

Mesh:

Year:  1989        PMID: 2593165     DOI: 10.1093/jnci/81.24.1879

Source DB:  PubMed          Journal:  J Natl Cancer Inst        ISSN: 0027-8874            Impact factor:   13.506


  873 in total

Review 1.  Chemoprevention of breast and colon cancer.

Authors:  F L Meyskens
Journal:  Curr Oncol Rep       Date:  2000-05       Impact factor: 5.075

2.  Psychological distress, health beliefs, and frequency of breast self-examination.

Authors:  J Erblich; D H Bovbjerg; H B Valdimarsdottir
Journal:  J Behav Med       Date:  2000-06

Review 3.  Genes and generalists: why we need professionals with added competencies.

Authors:  P P Reynolds; J L Benkendorf
Journal:  West J Med       Date:  1999 Nov-Dec

4.  Computer support for genetic advice in primary care.

Authors:  J Emery
Journal:  Br J Gen Pract       Date:  1999-07       Impact factor: 5.386

Review 5.  Effect of SERMs on breast tissue.

Authors:  S R Goldstein
Journal:  J Endocrinol Invest       Date:  1999-09       Impact factor: 4.256

6.  The privatization of risk.

Authors:  B Rockhill
Journal:  Am J Public Health       Date:  2001-03       Impact factor: 9.308

Review 7.  Why should primary care physicians know about breast cancer genetics?

Authors:  L E Pinsky; J B Culver; J Hull; E Levy-Lahad; M Daly; W Burke
Journal:  West J Med       Date:  2001-09

Review 8.  Understanding risk and lessons for clinical risk communication about treatment preferences.

Authors:  A Edwards; G Elwyn
Journal:  Qual Health Care       Date:  2001-09

Review 9.  Explaining risks: turning numerical data into meaningful pictures.

Authors:  Adrian Edwards; Glyn Elwyn; Al Mulley
Journal:  BMJ       Date:  2002-04-06

10.  Utilization of breast cancer screening with magnetic resonance imaging in community practice.

Authors:  Deirdre A Hill; Jennifer S Haas; Robert Wellman; Rebecca A Hubbard; Christoph I Lee; Jennifer Alford-Teaster; Karen J Wernli; Louise M Henderson; Natasha K Stout; Anna N A Tosteson; Karla Kerlikowske; Tracy Onega
Journal:  J Gen Intern Med       Date:  2017-12-06       Impact factor: 5.128

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.