Regional efficacy assessment in multiregional clinical development

ABSTRACT It is common in multiregional clinical development that data from a global trial and a local trial (in a target country) together will be used to support local filing in the target country. This approach is considered efficient drug development both globally and in the target country. However, it remains a challenge how to combine global trial data and local trial data toward local filing. To address this challenge, we propose an “interpretation-centric” evaluation criterion based on a weighted estimator that weights data from the target country and outside of the target country. This approach provides an unbiased estimate of a global treatment effect with appropriate representation of the target country patient population, where the “appropriate representation” is the desired proportion of the target country participants in a global trial and is measured by the weight parameter. This natural interpretation can facilitate drug development discussion with local regulatory agencies. Sample size of the local trial can be determined using the proposed weighted estimator. Approaches for weight determination are also discussed.

[1]  K. K. Gordon Lan,et al.  Design and Sample Size Considerations for Simultaneous Global Drug Development Program , 2012, Journal of biopharmaceutical statistics.

[2]  Chin-Fu Hsiao,et al.  Design and Evaluation of Multiregional Trials with Heterogeneous Treatment Effect Across Regions , 2012, Journal of biopharmaceutical statistics.

[3]  Hui Quan,et al.  Multi-regional clinical trial design and consistency assessment of treatment effects. , 2014, Statistics in medicine.

[4]  Jen-pei Liu,et al.  A consistency approach to evaluation of bridging studies and multi-regional trials. , 2011, Statistics in medicine.

[5]  Yi Tsong,et al.  Assessment of Regional Treatment Effect in a Multiregional Clinical Trial , 2012, Journal of biopharmaceutical statistics.

[6]  Hui Quan,et al.  Sample size considerations for Japanese patients in a multi‐regional trial based on MHLW guidance , 2009, Pharmaceutical statistics.

[7]  Ning Li,et al.  Practical and Statistical Considerations on Simultaneous Global Drug Development , 2012, Journal of biopharmaceutical statistics.

[8]  Hsiao-Hui Tsou,et al.  Sample Size Determination for a Specific Region in a Multiregional Trial , 2010, Journal of biopharmaceutical statistics.

[9]  Hui Quan,et al.  Assessing consistent treatment effect in a multi‐regional clinical trial: a systematic review , 2010, Pharmaceutical statistics.

[10]  Christy Chuang-Stein,et al.  An Approach to Rationalize Partitioning Sample Size into Individual Regions in a Multiregional Trial , 2008 .

[11]  K. Carroll,et al.  Japanese Guideline on Global Clinical Trials: Statistical Implications and Alternative Criteria for Assessing Consistency , 2011 .

[12]  Hiroyuki Uesaka,et al.  Sample Size Allocation to Regions in a Multiregional Trial , 2009, Journal of biopharmaceutical statistics.