Decision making in clinical trials: Interim analyses, innovative design, and biomarkers

Kathleen A Welsh-Bohmer1, Geoffrey A Kerchner2, Shobha Dhadda3

  • 1Department of Psychiatry & Neurology Duke University Durham North Carolina USA.

Insights

Optimizing clinical trials for Alzheimer's disease (AD) treatments is crucial. The Alzheimer's Association convened experts to enhance decision-making for more efficient and informative AD drug development.

Area of Science:

  • Neuroscience
  • Clinical Trials
  • Drug Development

Background:

  • Alzheimer's disease (AD) clinical trials face challenges due to disease heterogeneity and length.
  • Past trial failures highlight the need for optimized decision-making processes.
  • Improving trial efficiency maximizes information yield for future research.

Purpose of the Study:

  • To identify new directions and actionable steps for enhancing clinical trial decision-making in Alzheimer's disease research.
  • To expedite the development of effective disease-modifying treatments for AD.
  • To ensure all clinical trials, including negative ones, contribute to advancing the field.

Main Methods:

  • Convening of the Alzheimer's Association Research Roundtable on December 1-2, 2020.
  • Focused discussion on optimizing all aspects of clinical trial decision making.
  • Identification of actionable steps for future Alzheimer's disease studies.

Main Results:

  • Key challenges in AD clinical trial execution were identified.
  • Strategies for improving decision-making in trial design and management were explored.
  • A consensus was reached on the importance of maximizing information from all trials.

Conclusions:

  • Enhanced decision-making is vital for efficient and informative Alzheimer's disease clinical trials.
  • Optimizing trial processes will accelerate the development of novel AD therapies.
  • Future trials must be designed to contribute valuable data, regardless of outcome.

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