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Rethinking clinical trials in restless legs syndrome: A roadmap.

Diego Garcia-Borreguero, Jed Black, Christopher J Earley, Stephany Fulda, Birgit Högl et al.
Review Sleep medicine reviews 2024 6 citations
PubMed DOI
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Study Design

Study Type
Randomized Controlled Trial
Population
None
Intervention
Rethinking clinical trials in restless legs syndrome: A roadmap. None
Comparator
Placebo
Primary Outcome
None
Effect Direction
Neutral
Risk of Bias
Moderate

Abstract

The number of large clinical trials of restless legs syndrome (RLS) have decreased in recent years, this coincides with reduced interest in developing and testing novel pharmaceuticals. Therefore, the International Restless Legs Syndrome Study Group (IRLSSG) formed a task force of global experts to examine the causes of these trends and make recommendations to facilitate new clinical trials. In our article, we delve into potential complications linked to the diagnostic definition of RLS, identify subpopulations necessitating more attention, and highlight issues pertaining to endpoints and study frameworks. In particular, we recommend developing alternative scoring methods for more accurate RLS diagnosis, thereby improving clinical trial specificity. Furthermore, enhancing the precision of endpoints will increase study effect sizes and mitigate study costs. Suggestions to achieve this include developing online, real-time sleep diaries with high-frequency sampling of nightly sleep latency and the use of PLMs as surrogate markers. Furthermore, to reduce the placebo response, strategies should be adopted that include placebo run-in periods. As RLS is frequently a chronic condition, priority should be given to long-term studies, using a randomized, placebo-controlled, withdrawal design. Lastly, new populations should be investigated to develop targeted treatments such as mild RLS, pregnancy, hemodialysis, or iron-deficient anemia.

TL;DR

Recommendations include developing alternative scoring methods for more accurate RLS diagnosis, thereby improving clinical trial specificity, and enhancing the precision of endpoints will increase study effect sizes and mitigate study costs.

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