Current medical research and opinion
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Meta Analysis Comparative Study
The importance of considering differences in study and patient characteristics before undertaking indirect treatment comparisons: a case study of siponimod for secondary progressive multiple sclerosis.
Background: Indirect treatment comparisons (ITCs) provide valuable evidence on comparative efficacy where head-to-head clinical trials do not exist; however, differences in patient populations may introduce bias. Therefore, it is essential to assess between-trial heterogeneity to determine the suitability of synthesizing ITC results. We provide an illustrative case study in multiple sclerosis (MS) where we assess the feasibility of conducting ITCs between siponimod and interferon beta-1b (IFN β-1b) and between siponimod and ocrelizumab. ⋯ ITCs were not feasible between siponimod and ocrelizumab because study designs and patient populations were too dissimilar to conduct a reliable ITC. Conclusions: This study highlights the importance of conducting a detailed feasibility assessment before undertaking ITCs to illuminate when excessive between-trial heterogeneity would cause biased results. MAIC was performed for siponimod and IFN β-1b in the absence of a head-to-head trial and was considered a more valid approach than a traditional ITC to examine comparative effectiveness.
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Meta Analysis Comparative Study
Matching-adjusted indirect treatment comparison of siponimod and other disease modifying treatments in secondary progressive multiple sclerosis.
Background: Siponimod, interferon beta-1a (IFNβ-1a), IFNβ-1b and natalizumab have been evaluated as treatments for secondary progressive multiple sclerosis (SPMS) in separate randomized controlled trials (RCTs), but not head-to-head. These trials included heterogeneous patient populations, which limits the use of standard network meta-analysis (NMA) for indirect treatment comparison (ITC) of relative efficacy. Matching-adjusted indirect comparison (MAIC) aims to correct these cross-trial differences. ⋯ For annualized relapse rate (ARR), with the exception of natalizumab, siponimod was numerically but not statistically superior to all comparators. Conclusions: EXPAND provides evidence of the efficacy of siponimod compared with placebo, and these MAICs complement this by demonstrating improved efficacy of siponimod relative to DMTs. Siponimod offers a significant therapeutic advance that may slow disease progression compared to other DMTs in an EXPAND-like population with secondary progressive disease.