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ABSTRACT: Introduction
Number needed to treat (NNT) estimates are a practical metric to help identify the most effective therapies. Our objective is to compare 11 biologic drugs for moderate-to-severe psoriasis in terms of NNT.Methods
The NNT data were obtained from a Bayesian network meta-analysis of 42 double-blind, randomized, phase 3 clinical trials for 11 biologics (adalimumab, brodalumab, certolizumab pegol, etanercept, guselkumab, infliximab, ixekizumab, risankizumab, secukinumab, tildrakizumab, and ustekinumab). We determined NNT to achieve Psoriasis Area and Severity Index (PASI) 75/90/100 responses at weeks 4, 8, 12, 16, and 48/52 and Dermatology Life Quality Index (DLQI) response 0, 1 at week 12.Results
Highest efficacy (lowest NNT) was with brodalumab and ixekizumab for PASI 90 at weeks 4, 8, and 12; ixekizumab for PASI 90/100 at week 16; and brodalumab for PASI 100 at week 12. After 48/52 weeks, risankizumab had the highest efficacy for PASI 90/100 overlapping with guselkumab, brodalumab, and ixekizumab for PASI 90 and with brodalumab and ixekizumab for PASI 100. Ixekizumab had the highest efficacy for DLQI (0,1) at week 12.Conclusions
Brodalumab and ixekizumab had the lowest NNTs for achieving PASI responses at early time points and were not significantly different than risankizumab and guselkumab after 48/52 weeks.
SUBMITTER: Leonardi CL
PROVIDER: S-EPMC9056462 | biostudies-literature | 2022 May
REPOSITORIES: biostudies-literature
Leonardi Craig L CL See Kyoungah K Burge Russel R Sun Zhuoer Z Zhang Ying Y Mallbris Lotus L Garrelts Alyssa A Warren Richard B RB
Advances in therapy 20220322 5
<h4>Introduction</h4>Number needed to treat (NNT) estimates are a practical metric to help identify the most effective therapies. Our objective is to compare 11 biologic drugs for moderate-to-severe psoriasis in terms of NNT.<h4>Methods</h4>The NNT data were obtained from a Bayesian network meta-analysis of 42 double-blind, randomized, phase 3 clinical trials for 11 biologics (adalimumab, brodalumab, certolizumab pegol, etanercept, guselkumab, infliximab, ixekizumab, risankizumab, secukinumab, t ...[more]