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Predictors of placebo response in three large clinical trials of the V1a receptor antagonist balovaptan in autism spectrum disorder
High rates of placebo response are increasingly implicated in failed autism spectrum disorder (ASD) clinical trials. Despite this, there are limited investigations of placebo response in ASD. We sought to identify baseline predictors of placebo response and quantify their influence on clinical scale...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10267133/ https://www.ncbi.nlm.nih.gov/pubmed/37045991 http://dx.doi.org/10.1038/s41386-023-01573-9 |
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author | Tobe, Russell Zhu, Yajing Gleissl, Teresa Rossomanno, Simona Veenstra-VanderWeele, Jeremy Smith, Janice Hollander, Eric |
author_facet | Tobe, Russell Zhu, Yajing Gleissl, Teresa Rossomanno, Simona Veenstra-VanderWeele, Jeremy Smith, Janice Hollander, Eric |
author_sort | Tobe, Russell |
collection | PubMed |
description | High rates of placebo response are increasingly implicated in failed autism spectrum disorder (ASD) clinical trials. Despite this, there are limited investigations of placebo response in ASD. We sought to identify baseline predictors of placebo response and quantify their influence on clinical scales of interest for three harmonized randomized clinical trials of balovaptan, a V1a receptor antagonist. We employed a two-step approach to identify predictors of placebo response on the Vineland-II two-domain composite (2DC) (primary outcome and a caregiver measure) and Clinical Global Impression (CGI) scale (secondary outcome and a clinician measure). The initial candidate predictor set of variables pertained to participant-level, site-specific, and protocol-related factors. Step 1 aimed to identify influential predictors of placebo response using Least Absolute Shrinkage and Selection Operator (LASSO) regression, while Step 2 quantified the influence of predictors via linear regression. Results were validated through statistical bootstrapping approaches with 500 replications of the analysis dataset. The pooled participant-level dataset included individuals with ASD aged 5 to 62 years (mean age 21 [SD 10]), among which 263 and 172 participants received placebo at Weeks 12 and 24, respectively. Although no influential predictors were identified for CGI, findings for Vineland-II 2DC are robust and informative. Decreased placebo response was predicted by higher baseline Vineland-II 2DC (i.e., more advanced adaptive function), longer trial duration, and European (vs United States) sites, while increased placebo response was predicted by commercial (vs academic) sites, attention deficit hyperactivity disorder and depression. Identification of these factors may be useful in anticipating and mitigating placebo response in drug development efforts in ASD and across developmental and psychiatric conditions. |
format | Online Article Text |
id | pubmed-10267133 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-102671332023-06-15 Predictors of placebo response in three large clinical trials of the V1a receptor antagonist balovaptan in autism spectrum disorder Tobe, Russell Zhu, Yajing Gleissl, Teresa Rossomanno, Simona Veenstra-VanderWeele, Jeremy Smith, Janice Hollander, Eric Neuropsychopharmacology Article High rates of placebo response are increasingly implicated in failed autism spectrum disorder (ASD) clinical trials. Despite this, there are limited investigations of placebo response in ASD. We sought to identify baseline predictors of placebo response and quantify their influence on clinical scales of interest for three harmonized randomized clinical trials of balovaptan, a V1a receptor antagonist. We employed a two-step approach to identify predictors of placebo response on the Vineland-II two-domain composite (2DC) (primary outcome and a caregiver measure) and Clinical Global Impression (CGI) scale (secondary outcome and a clinician measure). The initial candidate predictor set of variables pertained to participant-level, site-specific, and protocol-related factors. Step 1 aimed to identify influential predictors of placebo response using Least Absolute Shrinkage and Selection Operator (LASSO) regression, while Step 2 quantified the influence of predictors via linear regression. Results were validated through statistical bootstrapping approaches with 500 replications of the analysis dataset. The pooled participant-level dataset included individuals with ASD aged 5 to 62 years (mean age 21 [SD 10]), among which 263 and 172 participants received placebo at Weeks 12 and 24, respectively. Although no influential predictors were identified for CGI, findings for Vineland-II 2DC are robust and informative. Decreased placebo response was predicted by higher baseline Vineland-II 2DC (i.e., more advanced adaptive function), longer trial duration, and European (vs United States) sites, while increased placebo response was predicted by commercial (vs academic) sites, attention deficit hyperactivity disorder and depression. Identification of these factors may be useful in anticipating and mitigating placebo response in drug development efforts in ASD and across developmental and psychiatric conditions. Springer International Publishing 2023-04-12 2023-07 /pmc/articles/PMC10267133/ /pubmed/37045991 http://dx.doi.org/10.1038/s41386-023-01573-9 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Tobe, Russell Zhu, Yajing Gleissl, Teresa Rossomanno, Simona Veenstra-VanderWeele, Jeremy Smith, Janice Hollander, Eric Predictors of placebo response in three large clinical trials of the V1a receptor antagonist balovaptan in autism spectrum disorder |
title | Predictors of placebo response in three large clinical trials of the V1a receptor antagonist balovaptan in autism spectrum disorder |
title_full | Predictors of placebo response in three large clinical trials of the V1a receptor antagonist balovaptan in autism spectrum disorder |
title_fullStr | Predictors of placebo response in three large clinical trials of the V1a receptor antagonist balovaptan in autism spectrum disorder |
title_full_unstemmed | Predictors of placebo response in three large clinical trials of the V1a receptor antagonist balovaptan in autism spectrum disorder |
title_short | Predictors of placebo response in three large clinical trials of the V1a receptor antagonist balovaptan in autism spectrum disorder |
title_sort | predictors of placebo response in three large clinical trials of the v1a receptor antagonist balovaptan in autism spectrum disorder |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10267133/ https://www.ncbi.nlm.nih.gov/pubmed/37045991 http://dx.doi.org/10.1038/s41386-023-01573-9 |
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