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Recommendations for designing and analysing multi-arm non-inferiority trials: a review of methodology and current practice

BACKGROUND AND PURPOSE: Multi-arm non-inferiority (MANI) trials, here defined as non-inferiority trials with multiple experimental treatment arms, can be useful in situations where several viable treatments exist for a disease area or for testing different dose schedules. To maintain the statistical...

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Autores principales: Emmerson, Jake, Todd, Susan, Brown, Julia M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8235859/
https://www.ncbi.nlm.nih.gov/pubmed/34174937
http://dx.doi.org/10.1186/s13063-021-05364-9
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author Emmerson, Jake
Todd, Susan
Brown, Julia M.
author_facet Emmerson, Jake
Todd, Susan
Brown, Julia M.
author_sort Emmerson, Jake
collection PubMed
description BACKGROUND AND PURPOSE: Multi-arm non-inferiority (MANI) trials, here defined as non-inferiority trials with multiple experimental treatment arms, can be useful in situations where several viable treatments exist for a disease area or for testing different dose schedules. To maintain the statistical integrity of such trials, issues regarding both design and analysis must be considered, from both the multi-arm and the non-inferiority perspectives. Little guidance currently exists on exactly how these aspects should be addressed and it is the aim of this paper to provide recommendations to aid the design of future MANI trials. METHODS: A comprehensive literature review covering four databases was conducted to identify publications associated with MANI trials. Literature was split into methodological and trial publications in order to investigate the required design and analysis considerations for MANI trials and whether they were being addressed in practice. RESULTS: A number of issues were identified that if not properly addressed, could lead to issues with the FWER, power or bias. These ranged from the structuring of trial hypotheses at the design stage to the consideration of potential heterogeneous treatment variances at the analysis stage. One key issue of interest was adjustment for multiple testing at the analysis stage. There was little consensus concerning whether more powerful p value adjustment methods were preferred to approximate adjusted CIs when presenting and interpreting the results of MANI trials. We found 65 examples of previous MANI trials, of which 31 adjusted for multiple testing out of the 39 that were adjudged to require it. Trials generally preferred to utilise simple, well-known methods for study design and analysis and while some awareness was shown concerning FWER inflation and choice of power, many trials seemed not to consider the issues and did not provide sufficient definition of their chosen design and analysis approaches. CONCLUSIONS: While MANI trials to date have shown some awareness of the issues raised within this paper, very few have satisfied the criteria of the outlined recommendations. Going forward, trials should consider the recommendations in this paper and ensure they clearly define and reason their choices of trial design and analysis techniques.
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spelling pubmed-82358592021-06-28 Recommendations for designing and analysing multi-arm non-inferiority trials: a review of methodology and current practice Emmerson, Jake Todd, Susan Brown, Julia M. Trials Review BACKGROUND AND PURPOSE: Multi-arm non-inferiority (MANI) trials, here defined as non-inferiority trials with multiple experimental treatment arms, can be useful in situations where several viable treatments exist for a disease area or for testing different dose schedules. To maintain the statistical integrity of such trials, issues regarding both design and analysis must be considered, from both the multi-arm and the non-inferiority perspectives. Little guidance currently exists on exactly how these aspects should be addressed and it is the aim of this paper to provide recommendations to aid the design of future MANI trials. METHODS: A comprehensive literature review covering four databases was conducted to identify publications associated with MANI trials. Literature was split into methodological and trial publications in order to investigate the required design and analysis considerations for MANI trials and whether they were being addressed in practice. RESULTS: A number of issues were identified that if not properly addressed, could lead to issues with the FWER, power or bias. These ranged from the structuring of trial hypotheses at the design stage to the consideration of potential heterogeneous treatment variances at the analysis stage. One key issue of interest was adjustment for multiple testing at the analysis stage. There was little consensus concerning whether more powerful p value adjustment methods were preferred to approximate adjusted CIs when presenting and interpreting the results of MANI trials. We found 65 examples of previous MANI trials, of which 31 adjusted for multiple testing out of the 39 that were adjudged to require it. Trials generally preferred to utilise simple, well-known methods for study design and analysis and while some awareness was shown concerning FWER inflation and choice of power, many trials seemed not to consider the issues and did not provide sufficient definition of their chosen design and analysis approaches. CONCLUSIONS: While MANI trials to date have shown some awareness of the issues raised within this paper, very few have satisfied the criteria of the outlined recommendations. Going forward, trials should consider the recommendations in this paper and ensure they clearly define and reason their choices of trial design and analysis techniques. BioMed Central 2021-06-26 /pmc/articles/PMC8235859/ /pubmed/34174937 http://dx.doi.org/10.1186/s13063-021-05364-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Review
Emmerson, Jake
Todd, Susan
Brown, Julia M.
Recommendations for designing and analysing multi-arm non-inferiority trials: a review of methodology and current practice
title Recommendations for designing and analysing multi-arm non-inferiority trials: a review of methodology and current practice
title_full Recommendations for designing and analysing multi-arm non-inferiority trials: a review of methodology and current practice
title_fullStr Recommendations for designing and analysing multi-arm non-inferiority trials: a review of methodology and current practice
title_full_unstemmed Recommendations for designing and analysing multi-arm non-inferiority trials: a review of methodology and current practice
title_short Recommendations for designing and analysing multi-arm non-inferiority trials: a review of methodology and current practice
title_sort recommendations for designing and analysing multi-arm non-inferiority trials: a review of methodology and current practice
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8235859/
https://www.ncbi.nlm.nih.gov/pubmed/34174937
http://dx.doi.org/10.1186/s13063-021-05364-9
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