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Designing nutrition-based interventional trials for the future: addressing the known knowns
The consistent decline in critical illness mortality has a significant effect on trial design, whereby either an improbable effect sizes or large number of patients are required. The signal-to-noise ratio is of particular interest for the critically ill. When considering the potential signal, interv...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6381615/ https://www.ncbi.nlm.nih.gov/pubmed/30782189 http://dx.doi.org/10.1186/s13054-019-2345-5 |
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author | Bear, Danielle E. Puthucheary, Zudin A. |
author_facet | Bear, Danielle E. Puthucheary, Zudin A. |
author_sort | Bear, Danielle E. |
collection | PubMed |
description | The consistent decline in critical illness mortality has a significant effect on trial design, whereby either an improbable effect sizes or large number of patients are required. The signal-to-noise ratio is of particular interest for the critically ill. When considering the potential signal, interventions need to match outcomes in regard to biological plausibility. Provision of nutrition is a complex decision with many underappreciated aspects of noise. However, a fundamental interaction is often not accounted for time. Working as a community to evolve trial design will be our challenge for nutrition interventions in the critically ill for the future. |
format | Online Article Text |
id | pubmed-6381615 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-63816152019-02-28 Designing nutrition-based interventional trials for the future: addressing the known knowns Bear, Danielle E. Puthucheary, Zudin A. Crit Care Editorial The consistent decline in critical illness mortality has a significant effect on trial design, whereby either an improbable effect sizes or large number of patients are required. The signal-to-noise ratio is of particular interest for the critically ill. When considering the potential signal, interventions need to match outcomes in regard to biological plausibility. Provision of nutrition is a complex decision with many underappreciated aspects of noise. However, a fundamental interaction is often not accounted for time. Working as a community to evolve trial design will be our challenge for nutrition interventions in the critically ill for the future. BioMed Central 2019-02-19 /pmc/articles/PMC6381615/ /pubmed/30782189 http://dx.doi.org/10.1186/s13054-019-2345-5 Text en © The Author(s). 2019 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 | Editorial Bear, Danielle E. Puthucheary, Zudin A. Designing nutrition-based interventional trials for the future: addressing the known knowns |
title | Designing nutrition-based interventional trials for the future: addressing the known knowns |
title_full | Designing nutrition-based interventional trials for the future: addressing the known knowns |
title_fullStr | Designing nutrition-based interventional trials for the future: addressing the known knowns |
title_full_unstemmed | Designing nutrition-based interventional trials for the future: addressing the known knowns |
title_short | Designing nutrition-based interventional trials for the future: addressing the known knowns |
title_sort | designing nutrition-based interventional trials for the future: addressing the known knowns |
topic | Editorial |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6381615/ https://www.ncbi.nlm.nih.gov/pubmed/30782189 http://dx.doi.org/10.1186/s13054-019-2345-5 |
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