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Advanced Topics in Ovarian Cancer Clinical Trial Design and Rigorous Data Interpretation

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Download Slide Module

Clinical trial designs and endpoints influence how study results are interpreted and implemented in clinical practice.

LESLIE M. RANDALL, MD, MAS
University of California, Irvine
GEMSTONE Committee Member: Leslie M. Randall, MD, MAS

The unique characteristics of patients with ovarian cancer necessitate the implementation of novel clinical trials with sophisticated designs.

THOMAS J. HERZOG, MD
University of Cincinnati
GEMSTONE Committee Member: Thomas J. Herzog, MD

Clinical trials are becoming more complex.

The cancer treatment landscape is rapidly evolving, and ovarian cancer clinical trials are becoming increasingly complicated. For example, biomarker development may be incorporated into clinical trials with the goal of establishing biomarker assays that can inform clinical decision making. In addition, adaptive trials are becoming more common. Adaptive trials aim to accelerate drug development by allowing the study design to be modified based on interim trial data; however, these trials require careful pre-trial planning to ensure reliable findings. Given that clinical trials help define new standards of care, it is important for clinicians to understand trial methodology and how to interpret trial data.

Explore the module further to learn more about advanced considerations for clinical trial design and data interpretation—or download the module for later review offline. This module digs deeper into important concepts reviewed in the Clinical Topic entitled Key Considerations for Ovarian Cancer Clinical Trial Design and Interpretation.