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Composite endpoints, including patient reported outcomes, in rare diseases

BACKGROUND: When assessing the efficacy of a treatment in any clinical trial, it is recommended by the International Conference on Harmonisation to select a single meaningful endpoint. However, a single endpoint is often not sufficient to reflect the full clinical benefit of a treatment in multiface...

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Autores principales: Verbeeck, Johan, Dirani, Maya, Bauer, Johann W., Hilgers, Ralf-Dieter, Molenberghs, Geert, Nabbout, Rima
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10474650/
https://www.ncbi.nlm.nih.gov/pubmed/37658423
http://dx.doi.org/10.1186/s13023-023-02819-x
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author Verbeeck, Johan
Dirani, Maya
Bauer, Johann W.
Hilgers, Ralf-Dieter
Molenberghs, Geert
Nabbout, Rima
author_facet Verbeeck, Johan
Dirani, Maya
Bauer, Johann W.
Hilgers, Ralf-Dieter
Molenberghs, Geert
Nabbout, Rima
author_sort Verbeeck, Johan
collection PubMed
description BACKGROUND: When assessing the efficacy of a treatment in any clinical trial, it is recommended by the International Conference on Harmonisation to select a single meaningful endpoint. However, a single endpoint is often not sufficient to reflect the full clinical benefit of a treatment in multifaceted diseases, which is often the case in rare diseases. Therefore, the use of a combination of several clinically meaningful outcomes is preferred. Many methodologies that allow for combining outcomes in a so-called composite endpoint are however limited in a number of ways, not in the least in the number and type of outcomes that can be combined and in the poor small-sample properties. Moreover, patient reported outcomes, such as quality of life, often cannot be integrated in a composite analysis, in spite of their intrinsic value. RESULTS: Recently, a class of non-parametric generalized pairwise comparisons tests have been proposed, which members do allow for any number and type of outcomes, including patient reported outcomes. The class enjoys good small-sample properties. Moreover, this very flexible class of methods allows for prioritizing the outcomes by clinical severity, allows for matched designs and for adding a threshold of clinical relevance. Our aim is to introduce the generalized pairwise comparison ideas and concepts for rare disease clinical trial analysis, and demonstrate their benefit in a post-hoc analysis of a small-sample trial in epidermolysis bullosa. More precisely, we will include a patient relevant outcome (Quality of life), in a composite endpoint. This publication is part of the European Joint Programme on Rare Diseases (EJP RD) series on innovative methodologies for rare diseases clinical trials, which is based on the webinars presented within the educational activity of EJP RD. This publication covers the webinar topic on composite endpoints in rare diseases and includes participants’ response to a questionnaire on this topic. CONCLUSIONS: Generalized pairwise comparisons is a promising statistical methodology for evaluating any type of composite endpoints in rare disease trials and may allow a better evaluation of therapy efficacy including patients reported outcomes in addition to outcomes related to the diseases signs and symptoms. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13023-023-02819-x.
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spelling pubmed-104746502023-09-03 Composite endpoints, including patient reported outcomes, in rare diseases Verbeeck, Johan Dirani, Maya Bauer, Johann W. Hilgers, Ralf-Dieter Molenberghs, Geert Nabbout, Rima Orphanet J Rare Dis Research BACKGROUND: When assessing the efficacy of a treatment in any clinical trial, it is recommended by the International Conference on Harmonisation to select a single meaningful endpoint. However, a single endpoint is often not sufficient to reflect the full clinical benefit of a treatment in multifaceted diseases, which is often the case in rare diseases. Therefore, the use of a combination of several clinically meaningful outcomes is preferred. Many methodologies that allow for combining outcomes in a so-called composite endpoint are however limited in a number of ways, not in the least in the number and type of outcomes that can be combined and in the poor small-sample properties. Moreover, patient reported outcomes, such as quality of life, often cannot be integrated in a composite analysis, in spite of their intrinsic value. RESULTS: Recently, a class of non-parametric generalized pairwise comparisons tests have been proposed, which members do allow for any number and type of outcomes, including patient reported outcomes. The class enjoys good small-sample properties. Moreover, this very flexible class of methods allows for prioritizing the outcomes by clinical severity, allows for matched designs and for adding a threshold of clinical relevance. Our aim is to introduce the generalized pairwise comparison ideas and concepts for rare disease clinical trial analysis, and demonstrate their benefit in a post-hoc analysis of a small-sample trial in epidermolysis bullosa. More precisely, we will include a patient relevant outcome (Quality of life), in a composite endpoint. This publication is part of the European Joint Programme on Rare Diseases (EJP RD) series on innovative methodologies for rare diseases clinical trials, which is based on the webinars presented within the educational activity of EJP RD. This publication covers the webinar topic on composite endpoints in rare diseases and includes participants’ response to a questionnaire on this topic. CONCLUSIONS: Generalized pairwise comparisons is a promising statistical methodology for evaluating any type of composite endpoints in rare disease trials and may allow a better evaluation of therapy efficacy including patients reported outcomes in addition to outcomes related to the diseases signs and symptoms. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13023-023-02819-x. BioMed Central 2023-09-01 /pmc/articles/PMC10474650/ /pubmed/37658423 http://dx.doi.org/10.1186/s13023-023-02819-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Verbeeck, Johan
Dirani, Maya
Bauer, Johann W.
Hilgers, Ralf-Dieter
Molenberghs, Geert
Nabbout, Rima
Composite endpoints, including patient reported outcomes, in rare diseases
title Composite endpoints, including patient reported outcomes, in rare diseases
title_full Composite endpoints, including patient reported outcomes, in rare diseases
title_fullStr Composite endpoints, including patient reported outcomes, in rare diseases
title_full_unstemmed Composite endpoints, including patient reported outcomes, in rare diseases
title_short Composite endpoints, including patient reported outcomes, in rare diseases
title_sort composite endpoints, including patient reported outcomes, in rare diseases
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10474650/
https://www.ncbi.nlm.nih.gov/pubmed/37658423
http://dx.doi.org/10.1186/s13023-023-02819-x
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