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Changes to aspects of ongoing randomised controlled trials with fixed designs

BACKGROUND: Despite careful planning, changes to some aspects of an ongoing randomised clinical trial (RCT), with a fixed design, may be warranted. We sought to elucidate the distinction between legitimate versus illegitimate changes to serve as a guide for less experienced clinical trialists and ot...

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Autores principales: Coskinas, Xanthi, Simes, John, Schou, Manjula, Martin, Andrew James
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7268339/
https://www.ncbi.nlm.nih.gov/pubmed/32493444
http://dx.doi.org/10.1186/s13063-020-04374-3
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author Coskinas, Xanthi
Simes, John
Schou, Manjula
Martin, Andrew James
author_facet Coskinas, Xanthi
Simes, John
Schou, Manjula
Martin, Andrew James
author_sort Coskinas, Xanthi
collection PubMed
description BACKGROUND: Despite careful planning, changes to some aspects of an ongoing randomised clinical trial (RCT), with a fixed design, may be warranted. We sought to elucidate the distinction between legitimate versus illegitimate changes to serve as a guide for less experienced clinical trialists and other stakeholders. METHODS: Using data from a large trial of statin therapy for secondary prevention, we generated a set of simulated trial datasets under the null hypothesis (H0) and a set under an alternative hypothesis (H1). Through analysis of these simulated trials, we assessed the performance of the strategy of changing aspects of the design/analysis with knowledge of treatment allocation (illegitimate) versus the strategy of making changes without knowledge of treatment allocation (legitimate). Performance was assessed using the type 1 error, as well as measures of absolute and relative bias in the treatment effect. RESULTS: Illegitimate changes led to a relative bias of 61% under H1, and a type 1 error rate under H0 of 23%—well in excess of the 5% significance level targeted. Legitimate changes produced unbiased estimates under H1 and did not inflate the type 1 error rate under H0. CONCLUSIONS: Changes to pre-specified aspects of the design and analysis of an ongoing RCT may be a necessary response to unforeseen circumstances. Such changes risk introducing a bias if undertaken with knowledge of treatment allocation. Legitimate changes need to be adequately documented to provide assurance to all stakeholders of their validity.
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spelling pubmed-72683392020-06-07 Changes to aspects of ongoing randomised controlled trials with fixed designs Coskinas, Xanthi Simes, John Schou, Manjula Martin, Andrew James Trials Methodology BACKGROUND: Despite careful planning, changes to some aspects of an ongoing randomised clinical trial (RCT), with a fixed design, may be warranted. We sought to elucidate the distinction between legitimate versus illegitimate changes to serve as a guide for less experienced clinical trialists and other stakeholders. METHODS: Using data from a large trial of statin therapy for secondary prevention, we generated a set of simulated trial datasets under the null hypothesis (H0) and a set under an alternative hypothesis (H1). Through analysis of these simulated trials, we assessed the performance of the strategy of changing aspects of the design/analysis with knowledge of treatment allocation (illegitimate) versus the strategy of making changes without knowledge of treatment allocation (legitimate). Performance was assessed using the type 1 error, as well as measures of absolute and relative bias in the treatment effect. RESULTS: Illegitimate changes led to a relative bias of 61% under H1, and a type 1 error rate under H0 of 23%—well in excess of the 5% significance level targeted. Legitimate changes produced unbiased estimates under H1 and did not inflate the type 1 error rate under H0. CONCLUSIONS: Changes to pre-specified aspects of the design and analysis of an ongoing RCT may be a necessary response to unforeseen circumstances. Such changes risk introducing a bias if undertaken with knowledge of treatment allocation. Legitimate changes need to be adequately documented to provide assurance to all stakeholders of their validity. BioMed Central 2020-06-03 /pmc/articles/PMC7268339/ /pubmed/32493444 http://dx.doi.org/10.1186/s13063-020-04374-3 Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver (http://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 Methodology
Coskinas, Xanthi
Simes, John
Schou, Manjula
Martin, Andrew James
Changes to aspects of ongoing randomised controlled trials with fixed designs
title Changes to aspects of ongoing randomised controlled trials with fixed designs
title_full Changes to aspects of ongoing randomised controlled trials with fixed designs
title_fullStr Changes to aspects of ongoing randomised controlled trials with fixed designs
title_full_unstemmed Changes to aspects of ongoing randomised controlled trials with fixed designs
title_short Changes to aspects of ongoing randomised controlled trials with fixed designs
title_sort changes to aspects of ongoing randomised controlled trials with fixed designs
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7268339/
https://www.ncbi.nlm.nih.gov/pubmed/32493444
http://dx.doi.org/10.1186/s13063-020-04374-3
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