Interim decision making in seamless trial designs: An application in an adaptive dose-finding study in a rare kidney

Olympia Papachristofi1, Björn Bornkamp1, Melanie Wright1

  • 1Clinical Development and Analytics, Novartis Pharma AG, Basel, Switzerland.

Pharmaceutical Statistics
|September 11, 2023
PubMed

Insights

Adaptive seamless trial designs integrate learning and confirming phases, improving drug development efficiency. Simulations and careful planning are key for successful implementation and decision-making in these complex trials.

Area of Science:

  • Clinical Trial Design
  • Pharmaceutical Development
  • Biostatistics

Background:

  • Adaptive seamless trial designs merge drug development phases for efficiency.
  • Adaptations include dose selection, sample size adjustments, and population enrichment.
  • Implementation challenges persist, particularly in interim analysis decision-making.

Purpose of the Study:

  • To showcase adaptive features in early-stage drug development using a Phase 2a/2b case study.
  • To demonstrate the role of simulations in evaluating adaptive design operating characteristics and decision rules.
  • To outline requirements for successful interim analysis decision-making and operational aspects.

Main Methods:

  • Utilized a case study of an adaptive seamless proof-of-concept (Phase 2a)/dose-finding (Phase 2b) trial.
  • Employed simulations to assess design operating characteristics and define adaptation decision rules.
  • Identified key elements for interim analysis decision-making, stakeholder roles, and preplanning.

Main Results:

  • Adaptive seamless designs offer potential time and resource savings compared to traditional separate studies.
  • Simulations are crucial for understanding design performance and setting decision criteria.
  • Successful implementation requires careful planning, stakeholder involvement, and simulation-based tools.

Conclusions:

  • Seamless adaptive designs can significantly accelerate drug development.
  • Effective implementation hinges on robust simulation, clear decision rules, and proactive operational planning.
  • These designs represent a valuable advancement over traditional trial paradigms when meticulously executed.

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