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A comparison of approaches for adjudicating outcomes in clinical trials

BACKGROUND: Incorrect classification of outcomes in clinical trials can lead to biased estimates of treatment effect and reduced power. Ensuring appropriate adjudication methods to minimize outcome misclassification is therefore essential. While there are many reported adjudication approaches, there...

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Autores principales: Kahan, Brennan C., Feagan, Brian, Jairath, Vipul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5465459/
https://www.ncbi.nlm.nih.gov/pubmed/28595589
http://dx.doi.org/10.1186/s13063-017-1995-3
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author Kahan, Brennan C.
Feagan, Brian
Jairath, Vipul
author_facet Kahan, Brennan C.
Feagan, Brian
Jairath, Vipul
author_sort Kahan, Brennan C.
collection PubMed
description BACKGROUND: Incorrect classification of outcomes in clinical trials can lead to biased estimates of treatment effect and reduced power. Ensuring appropriate adjudication methods to minimize outcome misclassification is therefore essential. While there are many reported adjudication approaches, there is little consensus over which approach is best. METHODS: Under the assumption of non-differential assessment (i.e. that misclassification rates are the same in each treatment arm, as would typically be the case when outcome assessors are blinded), we use simulation and theoretical results to address four different questions about outcome adjudication: (a) How many assessors should be used? (b) When is it better to use onsite or central assessment? (c) Should central assessors adjudicate all outcomes, or only suspected events? (d) Should central assessment with multiple assessors be done independently or through group consensus? RESULTS: No one adjudication approach performs optimally in all settings. The optimal approach depends on the misclassification rates of site and central assessors, and the correlation between assessors. We found: (a) there will generally be little incremental benefit to using more than three assessors and, for outcomes with very high correlation between assessors, using one assessor is sufficient; (b) when choosing between site and central assessors, the assessor with the smallest misclassification rate should be chosen; when these rates are unknown, a combination of one site assessor and two central assessors will provide good results across a range of scenarios; (c) having central assessors adjudicate only suspected events will typically increase bias, and should be avoided, unless the threshold for sending outcomes for central assessment is extremely low; (d) central assessors can adjudicate either independently or in a group, and the preferred option should be dictated by whichever is expected to have the lowest misclassification rate. CONCLUSIONS: Outcome adjudication is of critical importance to ensure validity of trial results, although no one approach is optimal across all settings. Investigators should choose the best strategy based on the specific characteristics of their trial. Regardless of the adjudication strategy chosen, assessors should be qualified and receive appropriate training.
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spelling pubmed-54654592017-06-09 A comparison of approaches for adjudicating outcomes in clinical trials Kahan, Brennan C. Feagan, Brian Jairath, Vipul Trials Methodology BACKGROUND: Incorrect classification of outcomes in clinical trials can lead to biased estimates of treatment effect and reduced power. Ensuring appropriate adjudication methods to minimize outcome misclassification is therefore essential. While there are many reported adjudication approaches, there is little consensus over which approach is best. METHODS: Under the assumption of non-differential assessment (i.e. that misclassification rates are the same in each treatment arm, as would typically be the case when outcome assessors are blinded), we use simulation and theoretical results to address four different questions about outcome adjudication: (a) How many assessors should be used? (b) When is it better to use onsite or central assessment? (c) Should central assessors adjudicate all outcomes, or only suspected events? (d) Should central assessment with multiple assessors be done independently or through group consensus? RESULTS: No one adjudication approach performs optimally in all settings. The optimal approach depends on the misclassification rates of site and central assessors, and the correlation between assessors. We found: (a) there will generally be little incremental benefit to using more than three assessors and, for outcomes with very high correlation between assessors, using one assessor is sufficient; (b) when choosing between site and central assessors, the assessor with the smallest misclassification rate should be chosen; when these rates are unknown, a combination of one site assessor and two central assessors will provide good results across a range of scenarios; (c) having central assessors adjudicate only suspected events will typically increase bias, and should be avoided, unless the threshold for sending outcomes for central assessment is extremely low; (d) central assessors can adjudicate either independently or in a group, and the preferred option should be dictated by whichever is expected to have the lowest misclassification rate. CONCLUSIONS: Outcome adjudication is of critical importance to ensure validity of trial results, although no one approach is optimal across all settings. Investigators should choose the best strategy based on the specific characteristics of their trial. Regardless of the adjudication strategy chosen, assessors should be qualified and receive appropriate training. BioMed Central 2017-06-08 /pmc/articles/PMC5465459/ /pubmed/28595589 http://dx.doi.org/10.1186/s13063-017-1995-3 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 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.
spellingShingle Methodology
Kahan, Brennan C.
Feagan, Brian
Jairath, Vipul
A comparison of approaches for adjudicating outcomes in clinical trials
title A comparison of approaches for adjudicating outcomes in clinical trials
title_full A comparison of approaches for adjudicating outcomes in clinical trials
title_fullStr A comparison of approaches for adjudicating outcomes in clinical trials
title_full_unstemmed A comparison of approaches for adjudicating outcomes in clinical trials
title_short A comparison of approaches for adjudicating outcomes in clinical trials
title_sort comparison of approaches for adjudicating outcomes in clinical trials
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5465459/
https://www.ncbi.nlm.nih.gov/pubmed/28595589
http://dx.doi.org/10.1186/s13063-017-1995-3
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