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Recurrent disability progression endpoints in multiple sclerosis clinical trials

BACKGROUND: The current standard endpoint to assess disability accumulation in multiple sclerosis (MS) clinical trials is the time to the first confirmed disability progression, which excludes subsequent progression events. Including recurrent progression events may permit a more comprehensive asses...

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Autores principales: Bühler, Alexandra, Wolbers, Marcel, Model, Fabian, Wang, Qing, Belachew, Shibeshih, Manfrini, Marianna, Lorscheider, Johannes, Kappos, Ludwig, Beyersmann, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9896250/
https://www.ncbi.nlm.nih.gov/pubmed/36177953
http://dx.doi.org/10.1177/13524585221125382
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author Bühler, Alexandra
Wolbers, Marcel
Model, Fabian
Wang, Qing
Belachew, Shibeshih
Manfrini, Marianna
Lorscheider, Johannes
Kappos, Ludwig
Beyersmann, Jan
author_facet Bühler, Alexandra
Wolbers, Marcel
Model, Fabian
Wang, Qing
Belachew, Shibeshih
Manfrini, Marianna
Lorscheider, Johannes
Kappos, Ludwig
Beyersmann, Jan
author_sort Bühler, Alexandra
collection PubMed
description BACKGROUND: The current standard endpoint to assess disability accumulation in multiple sclerosis (MS) clinical trials is the time to the first confirmed disability progression, which excludes subsequent progression events. Including recurrent progression events may permit a more comprehensive assessment of treatment effects on disability progression. OBJECTIVE: To propose a definition of recurrent disability progression events and to compare time-to-first and recurrent event analysis. METHODS: Recurrent disability progression events were defined by expanding the recommended first event definition. Marginal recurrent event methods (negative binomial model, Lin–Wei–Yang–Ying model) were compared with Cox regression in data from three randomized controlled trials in relapsing multiple sclerosis (RMS) and primary progressive multiple sclerosis (PPMS), and in simulated randomized controlled trial data. RESULTS: The recurrent event analyses included a substantially larger number of progression events compared with the time-to-first-event analyses (+7.5% and +9.9% in the RMS trials and +22.7% in the PPMS trial). The increase in the number of events resulted in more precise treatment effect estimates and a corresponding gain in statistical power. CONCLUSION: Our results support the use of recurrent event data analysis, especially in progressive MS trials, to improve estimates of treatment effects, increase statistical power, and better capture the clinically meaningful long-term disability progression experience.
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spelling pubmed-98962502023-02-04 Recurrent disability progression endpoints in multiple sclerosis clinical trials Bühler, Alexandra Wolbers, Marcel Model, Fabian Wang, Qing Belachew, Shibeshih Manfrini, Marianna Lorscheider, Johannes Kappos, Ludwig Beyersmann, Jan Mult Scler Original Research Papers BACKGROUND: The current standard endpoint to assess disability accumulation in multiple sclerosis (MS) clinical trials is the time to the first confirmed disability progression, which excludes subsequent progression events. Including recurrent progression events may permit a more comprehensive assessment of treatment effects on disability progression. OBJECTIVE: To propose a definition of recurrent disability progression events and to compare time-to-first and recurrent event analysis. METHODS: Recurrent disability progression events were defined by expanding the recommended first event definition. Marginal recurrent event methods (negative binomial model, Lin–Wei–Yang–Ying model) were compared with Cox regression in data from three randomized controlled trials in relapsing multiple sclerosis (RMS) and primary progressive multiple sclerosis (PPMS), and in simulated randomized controlled trial data. RESULTS: The recurrent event analyses included a substantially larger number of progression events compared with the time-to-first-event analyses (+7.5% and +9.9% in the RMS trials and +22.7% in the PPMS trial). The increase in the number of events resulted in more precise treatment effect estimates and a corresponding gain in statistical power. CONCLUSION: Our results support the use of recurrent event data analysis, especially in progressive MS trials, to improve estimates of treatment effects, increase statistical power, and better capture the clinically meaningful long-term disability progression experience. SAGE Publications 2022-09-30 2023-01 /pmc/articles/PMC9896250/ /pubmed/36177953 http://dx.doi.org/10.1177/13524585221125382 Text en © The Author(s), 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research Papers
Bühler, Alexandra
Wolbers, Marcel
Model, Fabian
Wang, Qing
Belachew, Shibeshih
Manfrini, Marianna
Lorscheider, Johannes
Kappos, Ludwig
Beyersmann, Jan
Recurrent disability progression endpoints in multiple sclerosis clinical trials
title Recurrent disability progression endpoints in multiple sclerosis clinical trials
title_full Recurrent disability progression endpoints in multiple sclerosis clinical trials
title_fullStr Recurrent disability progression endpoints in multiple sclerosis clinical trials
title_full_unstemmed Recurrent disability progression endpoints in multiple sclerosis clinical trials
title_short Recurrent disability progression endpoints in multiple sclerosis clinical trials
title_sort recurrent disability progression endpoints in multiple sclerosis clinical trials
topic Original Research Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9896250/
https://www.ncbi.nlm.nih.gov/pubmed/36177953
http://dx.doi.org/10.1177/13524585221125382
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