Literature DB >> 28372634

"Total evidence" network meta-analysis as a tool for improving the assessment of biosimilars: application to etanercept in rheumatoid arthritis
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Andrea Messori, Sabrina Trippoli, Claudio Marinai.   

Abstract

Since biosimilars generally have undergone less clinical research than originators, their place in therapy can be strengthened by increasing the amount of clinical evidence supporting their approval. This report describes an approach in which a "total evidence" network meta-analysis is performed that compares the biosimilar not only with the originator but also with the previous standard of care. This analysis was retrospectively applied to etanercept biosimilar in rheumatoid arthritis (end-point = ACR50). Using an increased number of evaluated patients (1,003 for network meta-analysis vs. 596 for equivalence trial), our results confirmed the equivalence index previously estimated from the approval trial of biosimilar.
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Year:  2017        PMID: 28372634     DOI: 10.5414/CP202877

Source DB:  PubMed          Journal:  Int J Clin Pharmacol Ther        ISSN: 0946-1965            Impact factor:   1.366


  2 in total

1.  Rituximab biosimilar evaluated by network meta-analysis.

Authors:  Marco Chiumente; Daniele Mengato; Andrea Messori
Journal:  Haematologica       Date:  2017-09-21       Impact factor: 9.941

2.  Rituximab biosimilar in rheumatoid arthritis: an enhanced-evidence assessment to evaluate equivalence with the originator based on network meta-analysis.

Authors:  Marco Chiumente; Andrea Messori
Journal:  Ther Adv Musculoskelet Dis       Date:  2017-08-23       Impact factor: 5.346

  2 in total

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