Evaluating Whether Integration of Prognostic and Predictive Algorithms Into Routine Clinical Practice Effect Whether Oncologists Order Multigene Assays in Patients With Early Stage Breast Cancer
- Sponsor
- Ottawa Hospital Research Institute
- Study ID
- NCT04131933
- Status
- Completed
Conditions
Eligibility Criteria
- Sex
- ALL
- Age
- 18 Years - N/A
- Healthy Volunteers
- Not accepted
Study Details
A broad range of prognostic and predictive tools are available for patients with newly diagnosed early stage breast cancer. These range from free and publicly available mathematical algorithms, through to expensive genomic tests. It is not known how the use of these different scores affects physician decision making with respect to ordering genomic tests, nor how well these algorithms predict for the results of Oncotype DX ® in the real-world setting. This pragmatic study will help to answer these questions.
Key Dates
- Start date
- Mar 6, 2020
- Status verified
- Dec 2025
- Primary completion
- May 18, 2022
- Completion
- May 18, 2022
Study Design
- Enrollment
- 602 participants (actual)
Primary Outcome Measure
Number of Participants With Oncotype DX Testing Ordered [ Time Frame: 12 Months ]
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