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New Model May Improve Patient Selection in Breast Cancer Trials

Jason Harris
Published: Friday, Feb 02, 2018

Lajos Pusztai, MD, DPhil

Lajos Pusztai, MD, DPhil
Investigators at Yale Cancer Center believe that a statistical model that combines multiple variables such as tumor size and lymph-node status into a single score can improve patient selection for breast cancer clinical trials and produce stronger results.

With a sample size of 800, the respective power associated with scenario 1 was 0.87, compared with 0.84 in scenario 2, 0.80 in scenario 3, and 0.76 in scenario 4. Investigators emphasized these changes in power occurred even though all patients met eligibility criteria based on tumor size and nodal status.
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TitleExpiration DateCME Credits
Community Practice Connections™: PARP Inhibition in Breast Cancer: Practical Methods to Interpret and Apply the Evidence for Your PatientsAug 30, 20191.5
Provider and Caregiver Connection™: Addressing Patient Concerns in the Management of Premenopausal Breast CancerAug 31, 20192.0
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