Background Adjuvant and neoadjuvant breast cancer treatments can reduce breast cancer
mortality but may increase mortality from other causes. Information regarding treatment …

Background Clinical prediction models are often not evaluated properly in specific settings
or updated, for instance, with information from new markers. These key steps are needed …

Objectives To describe long term breast cancer mortality among women with a diagnosis of
breast cancer in the past and estimate absolute breast cancer mortality risks for groups of …

Background Although the treatment for breast cancer is highly personalized, posttreatment
surveillance remains one-size-fits-all: annual imaging and physical examination for at least …

Background Web-based decision aids have been shown to have a positive effect when used
to improve the quality of decision-making for women facing postmastectomy breast …

Purpose Prognostic models can help inform patients on the future course of their cancer and
assist the decision making of clinicians and patients in respect to management and …

Purpose We reviewed existing personalized, web-based, interactive decision-making tools
available to guide breast cancer treatment and survivorship care decisions in clinical …

Objective Decision support can improve shared decision-making for breast cancer
treatment, but workflow barriers have hindered widespread use of these tools. The goal of …

Introduction. Personalized web-based clinical decision tools for breast cancer prevention
and screening could address knowledge gaps, enhance patient autonomy in shared …

Risk prediction tools are of great value in supporting clinical decision-making: they can
identify, for example, the potential benefit of a treatment on prognosis of an individual …