Home LiteratureArticle Details
PMID: 16537697 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Breast cancer screening, outside the population-screening program, of women from breast cancer families without proven BRCA1/BRCA2 mutations: a simulation study.

Jacobi CE, Nagelkerke NJ, van Houwelingen JH, de Bock GH

Abstract

We assessed the cost-effectiveness of mammography screening for women under the age of 50, from breast cancer families without proven BRCA1/BRCA2 mutations, because current criteria for screening healthy women from breast cancer families are not evidence-based. We did simulation studies with mathematical models on the cost-effectiveness of mammography screening of women under the age of 50 with breast cancer family histories. Breast cancer screening was simulated with varying screening intervals (6, 12, 18, and 24 months) and screening cohorts (starting at ages 30, 35, 40, and 45, and continuing to age 50). Incremental costs of screening were compared with those of women ages 50 to 52 years, the youngest age group currently routinely screened in the nationwide screening program of the Netherlands, to determine cost-effectiveness. Sensitivity analyses were done to explore the effects of model assumptions. The cost-effectiveness of breast cancer screening for women over the age of 50 was not debated. The most effective screening interval was found to be 12 months, which, however, seems only to be cost-effective in a small group of women under the age of 50 with at least two affected relatives, including at least one affected in the first degree diagnosed under the age of 50. Significantly, early breast cancer screening never seemed to be cost-effective in women with only one affected first-degree or second-degree relative. Annual breast cancer screening with mammography for women under the age of 50 seems to be cost-effective in women with strong family histories of breast cancer, even when no BRCA1/BRCA2 mutation was found in affected family members.

MeSH Terms
Adult Age Factors Breast Neoplasms/epidemiology,genetics Cost-Benefit Analysis Female Genes, BRCA1 Genes, BRCA2 Humans Mass Screening/economics,methods Middle Aged Models, Theoretical Mutation Netherlands/epidemiology Patient Simulation Pedigree Prevalence Risk Assessment Survival Rate
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Jacobi Catharina E
Department of Medical Decision Making (J10-S), Leiden University Medical Center, P.O. Box 9600, 2300 RC Leiden, the Netherlands. c.e.jacobi@lumc.nl
Nagelkerke Nico J D
van Houwelingen J Hans C
de Bock Geertruida H
Article Info
Journal
Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology
Abbr.
Cancer Epidemiol Biomarkers Prev
ISSN
1055-9965
Published
2006-03-00
Pages
429-36
Language
English
Region
United States
NLM ID
9200608
Subset
IM
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: product@genelibs.com