Literature DB >> 31933227

Design and Analysis of Biosimilar Switching Studies.

Shein-Chung Chow1, Sang Joon Lee2.   

Abstract

Under the US Biologics Price Competition and Innovation Act of 2009 (BPCI), the development of biosimilar (test) products provides affordable alternatives to innovative biological (reference) products for the general patient population. However, in practice, as the number of biosimilar products available on the market increases, whether these biosimilars can be used interchangeably is a concern. Thus, using switching studies to evaluate the risk of reduced efficacy and increased safety concerns with and without switch(es) in the development of biosimilar products is of interest. For this purpose, the US FDA, in its recent draft guidance on interchangeability, suggested using a 2 × 2 crossover design (RT, RR) to evaluate a single switch and (RTR, RRR) and (RTRT, RRRR) to evaluate multiple switches. In this article, we examine the statistical properties, analyses, and sample size requirements of these switching study designs. We also investigate the relative efficiencies of these switching designs compared with the complete  n-of-1 trial design.

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Year:  2019        PMID: 31933227     DOI: 10.1007/s40290-019-00296-x

Source DB:  PubMed          Journal:  Pharmaceut Med        ISSN: 1178-2595


  4 in total

Review 1.  Bioequivalence approaches for highly variable drugs and drug products.

Authors:  Sam H Haidar; Barbara Davit; Mei-Ling Chen; Dale Conner; LaiMing Lee; Qian H Li; Robert Lionberger; Fairouz Makhlouf; Devvrat Patel; Donald J Schuirmann; Lawrence X Yu
Journal:  Pharm Res       Date:  2007-09-22       Impact factor: 4.200

2.  A note on sample size determination for bioequivalence studies with high-order crossover designs.

Authors:  K W Chen; S C Chow; G Li
Journal:  J Pharmacokinet Biopharm       Date:  1997-12

Review 3.  On hybrid parallel-crossover designs for assessing drug interchangeability of biosimilar products.

Authors:  Shein-Chung Chow; Fuyu Song; Can Cui
Journal:  J Biopharm Stat       Date:  2016-12-27       Impact factor: 1.051

4.  The n-of-1 clinical trial: the ultimate strategy for individualizing medicine?

Authors:  Elizabeth O Lillie; Bradley Patay; Joel Diamant; Brian Issell; Eric J Topol; Nicholas J Schork
Journal:  Per Med       Date:  2011-03       Impact factor: 2.512

  4 in total

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