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Optimizing Drug Development Programs: Type 2 Diabetes Case Study.

Zoran Antonijevic1, Martin Kimber2, David Manner3

  • 11 Cytel Inc, Cambridge, MA, USA.

Therapeutic Innovation & Regulatory Science
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Summary
This summary is machine-generated.

Optimizing drug development, particularly phase IIb and phase III trials, enhances dose selection. Larger studies and adaptive designs improve success probability and reduce uncertainty in expected net present value.

Keywords:
adaptive designexpected net present valueoptimization of drug developmentutility functions

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Area of Science:

  • Pharmaceutical Sciences
  • Clinical Trial Design
  • Drug Development Economics

Background:

  • Dose selection in phase IIb significantly impacts overall drug development success.
  • Simultaneous optimization of phase IIb and phase III designs is a logical progression.
  • Type 2 diabetes serves as a relevant case study, incorporating realistic market and regulatory factors.

Purpose of the Study:

  • To optimize design aspects of both phase IIb and phase III clinical trials.
  • To evaluate the impact of different phase IIb strategies on drug development program success.
  • To utilize expected net present value (eNPV) for balancing probability of success (PoS), time, and cost.

Main Methods:

  • Employing expected net present value (eNPV) as the primary outcome measure for optimization.
  • Analyzing dose selection strategies within phase IIb, comparing fixed versus adaptive designs.
  • Incorporating realistic regulatory and commercial scenarios for type 2 diabetes.

Main Results:

  • Larger study sizes in phase IIb lead to more precise dose selection.
  • Adaptive designs in phase IIb offer improved dose selection compared to fixed designs.
  • Both larger studies and adaptive designs reduce bias in treatment effect estimation and uncertainty in eNPV.

Conclusions:

  • Optimizing phase IIb and phase III designs concurrently is crucial for drug development efficiency.
  • Adaptive designs and larger sample sizes in phase IIb enhance dose selection precision and reduce development risks.
  • Alignment of dose selection criteria with overall development strategy is essential for success.