Individualized survival curves improve satisfaction with cancer risk management decisions in women with BRCA1/2 mutations.

Journal Article (Journal Article)


Women with BRCA1/2 mutations are faced with complex decisions about breast and ovarian cancer risk management. This study was conducted to determine the effect of a tailored decision support system (DSS) that provides individualized survival and cancer incidence curves specific to expected outcomes of alternative management strategies.

Patients and methods

This was a double-blind, randomized controlled trial of 32 women with BRCA1/2 mutations. Primary outcome measures were decision satisfaction, cancer anxiety, perceptions of cancer risk given alternative management strategies, and management decisions.


Twenty-seven women completed a 6-week follow-up. Women in the intervention arm (n = 13) reported significantly higher decision satisfaction at follow-up than women in the control arm (n = 14; adjusted mean difference, 9.7; P < .0005). The effect of the DSS was greater among women with low cancer anxiety at baseline than women with high cancer anxiety at baseline (P = .01 for interaction). However, the DSS did not significantly alter cancer anxiety at follow-up, perceptions of cancer risk given alternative management strategies, or management decisions.


The presentation of individualized survival and incidence curves for alternative management options improves satisfaction about cancer risk management decisions among women with BRCA1/2 mutations without increasing anxiety or changing management decisions. The benefit of the DSS is greatest among women with relatively low cancer-related anxiety at baseline.

Full Text

Duke Authors

Cited Authors

  • Armstrong, K; Weber, B; Ubel, PA; Peters, N; Holmes, J; Schwartz, JS

Published Date

  • December 2005

Published In

Volume / Issue

  • 23 / 36

Start / End Page

  • 9319 - 9328

PubMed ID

  • 16361631

Electronic International Standard Serial Number (EISSN)

  • 1527-7755

International Standard Serial Number (ISSN)

  • 0732-183X

Digital Object Identifier (DOI)

  • 10.1200/jco.2005.06.119


  • eng