Dynamic development paths for expanding a proof-of-concept study to explore dose range
Qiqi Deng1, Xiaofei Bai1, Naitee Ting1
1Department of Biostatistics and Data Sciences, Boehringer Ingelheim Pharmaceuticals, Inc, 900 Ridgebury Road, Ridgefield, CT 06877, USA.
This study introduces a novel two-stage Phase II clinical trial design for new drugs. It aims to efficiently assess drug efficacy and determine optimal dosage through adaptive strategies, improving drug development timelines.
Area of Science:
- Clinical pharmacology
- Drug development
- Biostatistics
Background:
- Phase II clinical trials are critical for establishing proof of concept (PoC) and dose ranging for new drug candidates.
- Traditional Phase II trials often involve separate studies for PoC and dose ranging, potentially extending development timelines.
- Current PoC studies typically compare a high dose against a placebo, followed by extensive dose-ranging studies if successful.
Purpose of the Study:
- To propose and evaluate a novel two-stage Phase II clinical trial design.
- To generate an early signal of drug efficacy in the first stage.
- To efficiently explore the dose-efficacy relationship in the second stage based on early results.
Main Methods:
- A two-stage adaptive design is proposed for Phase II clinical development.
- Stage 1 focuses on obtaining an early efficacy signal using a high dose and placebo.
- Stage 2 employs a 'Go Fast' strategy (expanding the study with lower doses) if Stage 1 is successful, or a 'Go Slow' strategy (stopping with reduced sample size) otherwise.
Main Results:
- The proposed design allows for early assessment of efficacy.
- Adaptive 'Go Fast' or 'Go Slow' strategies enable efficient resource allocation.
- The design aims to optimize the balance between confirming efficacy and exploring the dose range.
Conclusions:
- This two-stage design offers a more efficient approach to Phase II drug development.
- It allows for timely decision-making regarding further drug investigation and dose selection.
- The adaptive nature of the design can accelerate the identification of effective drug dosages.
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