[Experience with a simplified format of decision making tool adjuvant! Online in breast cancer patients]

Rev Calid Asist. 2010 Jul-Aug;25(4):228-31. doi: 10.1016/j.cali.2010.01.004. Epub 2010 Mar 27.
[Article in Spanish]

Abstract

Background: Adjuvant! Online estimates 10-year recurrence and mortality outcomes for breast cancer patients and predicts the effect of each type of treatment. Our purpose was to test the applicability by only analysing mortality estimations.

Method: We present estimations of 66 women with definitive surgery and axillary staging for unilateral, unicentric, invasive adenocarcinoma, without metastatic or residual disease. Age, co-morbidity, estrogen receptor status, histological grade, tumor size, number of positive nodes, and hormone therapy or chemotherapy option, were the variables required.

Results: Median of survival estimations was 77%, cancer mortality 18% and mortality for other reasons 5%. The average of absolute risk reduction (ARR) with hormone therapy was 4%, with chemotherapy 4.5% and with combined treatment 7%. All the patients with some benefit decided to receive hormone therapy. Forty-three patients (65%) decided to receive chemotherapy and 23 (35%) did not. The average risk reduction with chemotherapy was 2% in those who decided not to receive chemotherapy and 8% in those who decided to receive it. There was an association between a chemotherapy decision and the estimation of the risk of breast cancer mortality (P=0.0001), risk of mortality for other reasons (P=0.038), and the ARR (P=0.0001). There were 6% of the patients with an ARR of 1%, 50% between 2-5% and 61.8% between 6-10%, who chose chemotherapy.

Conclusions: All women opted for hormone therapy regardless of benefit. The reasons for choosing chemotherapy were the prognosis itself and the magnitude of benefit. Some patients decided to choose chemotherapy even when the benefit was minimal.

Publication types

  • English Abstract
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adenocarcinoma / therapy*
  • Adult
  • Aged
  • Breast Neoplasms / therapy*
  • Decision Making
  • Female
  • Humans
  • Internet*
  • Middle Aged
  • Patient Participation*
  • Prospective Studies