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Published on: October 25, 2018
Network connectivity, between-study heterogeneity and timepoint challenges in generalized myasthenia gravis: a
Nils Erik Gilhus1,2, Saiju Jacob3,4, Mahmoud Hashim5
1Department of Clinical Medicine, University of Bergen, Bergen, Norway.
Abstract:
Aim: We performed a feasibility assessment to systematically evaluate randomized controlled trials (RCTs) for generalized myasthenia gravis (gMG) treatments. The goal was to identify the advantages and disadvantages of different indirect treatment comparison (ITC) methods. Materials & methods: A systematic literature review was conducted to identify relevant gMG RCTs for ITCs. The feasibility of ITCs was assessed by comparing design (including study duration and dosing schedules), population and outcome characteristics of retrieved trials, investigating network connectivity and considering appropriate ITC methods to address identified challenges. Results: The feasibility assessment considered 15 relevant RCTs for gMG treatments. Several barriers to conducting robust ITCs were identified, including within-trial imbalances in patient characteristics, small trial sizes and cross-trial differences in potential treatment effect modifiers (TEMs; e.g., antibody status, disease duration and prior treatment exposure). Further, heterogeneity in placebo administration characteristics and background therapies, and cross-trial variation in placebo response for key outcomes were noted. Additionally, treatment strategies (i.e., cyclical vs continuous), dosing schedules and outcome assessment timepoints were inconsistent across trials, necessitating careful consideration of methods and timepoints when interpreting outcomes. The findings suggest that ITCs anchored on placebo as a common comparator may be prone to bias, and more than one ITC approach may be necessary. Conclusion: ITC analyses in gMG have inherent challenges related to imbalanced treatment effect modifiers, network connectivity, varying dosing strategies and assessment timepoints. Multiple approaches to ITCs, with careful evaluation of underlying assumptions and limitations, are advised to limit bias and ensure robust comparative efficacy estimates are available to decision makers.
Insights
Indirect treatment comparison (ITC) feasibility for generalized myasthenia gravis (gMG) treatments faces challenges. Inconsistent trial designs and patient characteristics limit robust comparative efficacy estimates, requiring multiple ITC approaches.
Area of Science:
- Neurology
- Clinical Trials
- Pharmacoeconomics
Background:
- Generalized myasthenia gravis (gMG) requires effective treatment comparisons.
- Randomized controlled trials (RCTs) are crucial but direct comparisons are often limited.
- Indirect treatment comparison (ITC) methods offer a way to compare treatments using available RCT data.
Purpose of the Study:
- To assess the feasibility of conducting indirect treatment comparisons (ITCs) for generalized myasthenia gravis (gMG) treatments.
- To identify the advantages and disadvantages of different ITC methodologies in the context of gMG RCTs.
Main Methods:
- A systematic literature review identified relevant gMG RCTs for ITC analysis.
- Feasibility was assessed by comparing trial designs, populations, and outcomes.
- Network connectivity and potential ITC methods were evaluated to address identified challenges.
Main Results:
- Fifteen gMG RCTs were assessed, revealing significant barriers to robust ITCs.
- Challenges include patient characteristic imbalances, small trial sizes, and variations in treatment effect modifiers (TEMs).
- Heterogeneity in placebo responses, dosing, and assessment timepoints further complicates ITC reliability.
Conclusions:
- ITC analyses for gMG treatments are challenged by imbalanced TEMs, network connectivity issues, and inconsistent study designs.
- Multiple ITC approaches, with rigorous evaluation of assumptions and limitations, are recommended.
- This ensures robust comparative efficacy estimates for informed decision-making in gMG treatment selection.
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