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Methodological survey of designed uneven randomization trials (DU-RANDOM): a protocol

BACKGROUND: Although even randomization (that is, approximately 1:1 randomization ratio in study arms) provides the greatest statistical power, designed uneven randomization (DUR), (for example, 1:2 or 1:3) is used to increase participation rates. Until now, no convincing data exists addressing the...

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Autores principales: Wu, Darong, Akl, Elie A, Guyatt, Gordon H, Devereaux, Philip J, Brignardello-Petersen, Romina, Prediger, Barbara, Patel, Krupesh, Patel, Namrata, Lu, Taoying, Zhang, Yuan, Falavigna, Maicon, Santesso, Nancy, Mustafa, Reem A, Zhou, Qi, Briel, Matthias, Schünemann, Holger J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3902027/
https://www.ncbi.nlm.nih.gov/pubmed/24456965
http://dx.doi.org/10.1186/1745-6215-15-33
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author Wu, Darong
Akl, Elie A
Guyatt, Gordon H
Devereaux, Philip J
Brignardello-Petersen, Romina
Prediger, Barbara
Patel, Krupesh
Patel, Namrata
Lu, Taoying
Zhang, Yuan
Falavigna, Maicon
Santesso, Nancy
Mustafa, Reem A
Zhou, Qi
Briel, Matthias
Schünemann, Holger J
author_facet Wu, Darong
Akl, Elie A
Guyatt, Gordon H
Devereaux, Philip J
Brignardello-Petersen, Romina
Prediger, Barbara
Patel, Krupesh
Patel, Namrata
Lu, Taoying
Zhang, Yuan
Falavigna, Maicon
Santesso, Nancy
Mustafa, Reem A
Zhou, Qi
Briel, Matthias
Schünemann, Holger J
author_sort Wu, Darong
collection PubMed
description BACKGROUND: Although even randomization (that is, approximately 1:1 randomization ratio in study arms) provides the greatest statistical power, designed uneven randomization (DUR), (for example, 1:2 or 1:3) is used to increase participation rates. Until now, no convincing data exists addressing the impact of DUR on participation rates in trials. The objective of this study is to evaluate the epidemiology and to explore factors associated with DUR. METHODS: We will search for reports of RCTs published within two years in 25 general medical journals with the highest impact factor according to the Journal Citation Report (JCR)-2010. Teams of two reviewers will determine eligibility and extract relevant information from eligible RCTs in duplicate and using standardized forms. We will report the prevalence of DUR trials, the reported reasons for using DUR, and perform a linear regression analysis to estimate the association between the randomization ratio and the associated factors, including participation rate, type of informed consent, clinical area, and so on. DISCUSSION: A clearer understanding of RCTs with DUR and its association with factors in trials, for example, participation rate, can optimize trial design and may have important implications for both researchers and users of the medical literature.
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spelling pubmed-39020272014-01-26 Methodological survey of designed uneven randomization trials (DU-RANDOM): a protocol Wu, Darong Akl, Elie A Guyatt, Gordon H Devereaux, Philip J Brignardello-Petersen, Romina Prediger, Barbara Patel, Krupesh Patel, Namrata Lu, Taoying Zhang, Yuan Falavigna, Maicon Santesso, Nancy Mustafa, Reem A Zhou, Qi Briel, Matthias Schünemann, Holger J Trials Study Protocol BACKGROUND: Although even randomization (that is, approximately 1:1 randomization ratio in study arms) provides the greatest statistical power, designed uneven randomization (DUR), (for example, 1:2 or 1:3) is used to increase participation rates. Until now, no convincing data exists addressing the impact of DUR on participation rates in trials. The objective of this study is to evaluate the epidemiology and to explore factors associated with DUR. METHODS: We will search for reports of RCTs published within two years in 25 general medical journals with the highest impact factor according to the Journal Citation Report (JCR)-2010. Teams of two reviewers will determine eligibility and extract relevant information from eligible RCTs in duplicate and using standardized forms. We will report the prevalence of DUR trials, the reported reasons for using DUR, and perform a linear regression analysis to estimate the association between the randomization ratio and the associated factors, including participation rate, type of informed consent, clinical area, and so on. DISCUSSION: A clearer understanding of RCTs with DUR and its association with factors in trials, for example, participation rate, can optimize trial design and may have important implications for both researchers and users of the medical literature. BioMed Central 2014-01-23 /pmc/articles/PMC3902027/ /pubmed/24456965 http://dx.doi.org/10.1186/1745-6215-15-33 Text en Copyright © 2014 Wu et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 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 Study Protocol
Wu, Darong
Akl, Elie A
Guyatt, Gordon H
Devereaux, Philip J
Brignardello-Petersen, Romina
Prediger, Barbara
Patel, Krupesh
Patel, Namrata
Lu, Taoying
Zhang, Yuan
Falavigna, Maicon
Santesso, Nancy
Mustafa, Reem A
Zhou, Qi
Briel, Matthias
Schünemann, Holger J
Methodological survey of designed uneven randomization trials (DU-RANDOM): a protocol
title Methodological survey of designed uneven randomization trials (DU-RANDOM): a protocol
title_full Methodological survey of designed uneven randomization trials (DU-RANDOM): a protocol
title_fullStr Methodological survey of designed uneven randomization trials (DU-RANDOM): a protocol
title_full_unstemmed Methodological survey of designed uneven randomization trials (DU-RANDOM): a protocol
title_short Methodological survey of designed uneven randomization trials (DU-RANDOM): a protocol
title_sort methodological survey of designed uneven randomization trials (du-random): a protocol
topic Study Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3902027/
https://www.ncbi.nlm.nih.gov/pubmed/24456965
http://dx.doi.org/10.1186/1745-6215-15-33
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