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Sample size calculations in pediatric clinical trials conducted in an ICU: a systematic review

At the design stage of a clinical trial, several assumptions have to be made. These usually include guesses about parameters that are not of direct interest but must be accounted for in the analysis of the treatment effect and also in the sample size calculation (nuisance parameters, e.g. the standa...

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Autores principales: Nikolakopoulos, Stavros, Roes, Kit C B, van der Lee, Johanna H, van der Tweel, Ingeborg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4107993/
https://www.ncbi.nlm.nih.gov/pubmed/25004909
http://dx.doi.org/10.1186/1745-6215-15-274
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author Nikolakopoulos, Stavros
Roes, Kit C B
van der Lee, Johanna H
van der Tweel, Ingeborg
author_facet Nikolakopoulos, Stavros
Roes, Kit C B
van der Lee, Johanna H
van der Tweel, Ingeborg
author_sort Nikolakopoulos, Stavros
collection PubMed
description At the design stage of a clinical trial, several assumptions have to be made. These usually include guesses about parameters that are not of direct interest but must be accounted for in the analysis of the treatment effect and also in the sample size calculation (nuisance parameters, e.g. the standard deviation or the control group event rate). We conducted a systematic review to investigate the impact of misspecification of nuisance parameters in pediatric randomized controlled trials conducted in intensive care units. We searched MEDLINE through PubMed. We included all publications concerning two-arm RCTs where efficacy assessment was the main objective. We included trials with pharmacological interventions. Only trials with a dichotomous or a continuous outcome were included. This led to the inclusion of 70 articles describing 71 trials. In 49 trial reports a sample size calculation was reported. Relative misspecification could be calculated for 28 trials, 22 with a dichotomous and 6 with a continuous primary outcome. The median [inter-quartile range (IQR)] overestimation was 6.9 [-12.1, 57.8]% for the control group event rate in trials with dichotomous outcomes and -1.5 [-15.3, 5.1]% for the standard deviation in trials with continuous outcomes. Our results show that there is room for improvement in the clear reporting of sample size calculations in pediatric clinical trials conducted in ICUs. Researchers should be aware of the importance of nuisance parameters in study design and in the interpretation of the results.
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spelling pubmed-41079932014-08-04 Sample size calculations in pediatric clinical trials conducted in an ICU: a systematic review Nikolakopoulos, Stavros Roes, Kit C B van der Lee, Johanna H van der Tweel, Ingeborg Trials Review At the design stage of a clinical trial, several assumptions have to be made. These usually include guesses about parameters that are not of direct interest but must be accounted for in the analysis of the treatment effect and also in the sample size calculation (nuisance parameters, e.g. the standard deviation or the control group event rate). We conducted a systematic review to investigate the impact of misspecification of nuisance parameters in pediatric randomized controlled trials conducted in intensive care units. We searched MEDLINE through PubMed. We included all publications concerning two-arm RCTs where efficacy assessment was the main objective. We included trials with pharmacological interventions. Only trials with a dichotomous or a continuous outcome were included. This led to the inclusion of 70 articles describing 71 trials. In 49 trial reports a sample size calculation was reported. Relative misspecification could be calculated for 28 trials, 22 with a dichotomous and 6 with a continuous primary outcome. The median [inter-quartile range (IQR)] overestimation was 6.9 [-12.1, 57.8]% for the control group event rate in trials with dichotomous outcomes and -1.5 [-15.3, 5.1]% for the standard deviation in trials with continuous outcomes. Our results show that there is room for improvement in the clear reporting of sample size calculations in pediatric clinical trials conducted in ICUs. Researchers should be aware of the importance of nuisance parameters in study design and in the interpretation of the results. BioMed Central 2014-07-08 /pmc/articles/PMC4107993/ /pubmed/25004909 http://dx.doi.org/10.1186/1745-6215-15-274 Text en Copyright © 2014 Nikolakopoulos 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 credited. 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 Review
Nikolakopoulos, Stavros
Roes, Kit C B
van der Lee, Johanna H
van der Tweel, Ingeborg
Sample size calculations in pediatric clinical trials conducted in an ICU: a systematic review
title Sample size calculations in pediatric clinical trials conducted in an ICU: a systematic review
title_full Sample size calculations in pediatric clinical trials conducted in an ICU: a systematic review
title_fullStr Sample size calculations in pediatric clinical trials conducted in an ICU: a systematic review
title_full_unstemmed Sample size calculations in pediatric clinical trials conducted in an ICU: a systematic review
title_short Sample size calculations in pediatric clinical trials conducted in an ICU: a systematic review
title_sort sample size calculations in pediatric clinical trials conducted in an icu: a systematic review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4107993/
https://www.ncbi.nlm.nih.gov/pubmed/25004909
http://dx.doi.org/10.1186/1745-6215-15-274
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