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Evaluating mesenchymal stem cell therapy for sepsis with preclinical meta-analyses prior to initiating a first-in-human trial
Evaluation of preclinical evidence prior to initiating early-phase clinical studies has typically been performed by selecting individual studies in a non-systematic process that may introduce bias. Thus, in preparation for a first-in-human trial of mesenchymal stromal cells (MSCs) for septic shock,...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5153252/ https://www.ncbi.nlm.nih.gov/pubmed/27870924 http://dx.doi.org/10.7554/eLife.17850 |
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author | Lalu, Manoj M Sullivan, Katrina J Mei, Shirley HJ Moher, David Straus, Alexander Fergusson, Dean A Stewart, Duncan J Jazi, Mazen MacLeod, Malcolm Winston, Brent Marshall, John Hutton, Brian Walley, Keith R McIntyre, Lauralyn |
author_facet | Lalu, Manoj M Sullivan, Katrina J Mei, Shirley HJ Moher, David Straus, Alexander Fergusson, Dean A Stewart, Duncan J Jazi, Mazen MacLeod, Malcolm Winston, Brent Marshall, John Hutton, Brian Walley, Keith R McIntyre, Lauralyn |
author_sort | Lalu, Manoj M |
collection | PubMed |
description | Evaluation of preclinical evidence prior to initiating early-phase clinical studies has typically been performed by selecting individual studies in a non-systematic process that may introduce bias. Thus, in preparation for a first-in-human trial of mesenchymal stromal cells (MSCs) for septic shock, we applied systematic review methodology to evaluate all published preclinical evidence. We identified 20 controlled comparison experiments (980 animals from 18 publications) of in vivo sepsis models. Meta-analysis demonstrated that MSC treatment of preclinical sepsis significantly reduced mortality over a range of experimental conditions (odds ratio 0.27, 95% confidence interval 0.18–0.40, latest timepoint reported for each study). Risk of bias was unclear as few studies described elements such as randomization and no studies included an appropriately calculated sample size. Moreover, the presence of publication bias resulted in a ~30% overestimate of effect and threats to validity limit the strength of our conclusions. This novel prospective application of systematic review methodology serves as a template to evaluate preclinical evidence prior to initiating first-in-human clinical studies. DOI: http://dx.doi.org/10.7554/eLife.17850.001 |
format | Online Article Text |
id | pubmed-5153252 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-51532522016-12-14 Evaluating mesenchymal stem cell therapy for sepsis with preclinical meta-analyses prior to initiating a first-in-human trial Lalu, Manoj M Sullivan, Katrina J Mei, Shirley HJ Moher, David Straus, Alexander Fergusson, Dean A Stewart, Duncan J Jazi, Mazen MacLeod, Malcolm Winston, Brent Marshall, John Hutton, Brian Walley, Keith R McIntyre, Lauralyn eLife Epidemiology and Global Health Evaluation of preclinical evidence prior to initiating early-phase clinical studies has typically been performed by selecting individual studies in a non-systematic process that may introduce bias. Thus, in preparation for a first-in-human trial of mesenchymal stromal cells (MSCs) for septic shock, we applied systematic review methodology to evaluate all published preclinical evidence. We identified 20 controlled comparison experiments (980 animals from 18 publications) of in vivo sepsis models. Meta-analysis demonstrated that MSC treatment of preclinical sepsis significantly reduced mortality over a range of experimental conditions (odds ratio 0.27, 95% confidence interval 0.18–0.40, latest timepoint reported for each study). Risk of bias was unclear as few studies described elements such as randomization and no studies included an appropriately calculated sample size. Moreover, the presence of publication bias resulted in a ~30% overestimate of effect and threats to validity limit the strength of our conclusions. This novel prospective application of systematic review methodology serves as a template to evaluate preclinical evidence prior to initiating first-in-human clinical studies. DOI: http://dx.doi.org/10.7554/eLife.17850.001 eLife Sciences Publications, Ltd 2016-11-17 /pmc/articles/PMC5153252/ /pubmed/27870924 http://dx.doi.org/10.7554/eLife.17850 Text en © 2016, Lalu et al http://creativecommons.org/licenses/by/4.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Epidemiology and Global Health Lalu, Manoj M Sullivan, Katrina J Mei, Shirley HJ Moher, David Straus, Alexander Fergusson, Dean A Stewart, Duncan J Jazi, Mazen MacLeod, Malcolm Winston, Brent Marshall, John Hutton, Brian Walley, Keith R McIntyre, Lauralyn Evaluating mesenchymal stem cell therapy for sepsis with preclinical meta-analyses prior to initiating a first-in-human trial |
title | Evaluating mesenchymal stem cell therapy for sepsis with preclinical meta-analyses prior to initiating a first-in-human trial |
title_full | Evaluating mesenchymal stem cell therapy for sepsis with preclinical meta-analyses prior to initiating a first-in-human trial |
title_fullStr | Evaluating mesenchymal stem cell therapy for sepsis with preclinical meta-analyses prior to initiating a first-in-human trial |
title_full_unstemmed | Evaluating mesenchymal stem cell therapy for sepsis with preclinical meta-analyses prior to initiating a first-in-human trial |
title_short | Evaluating mesenchymal stem cell therapy for sepsis with preclinical meta-analyses prior to initiating a first-in-human trial |
title_sort | evaluating mesenchymal stem cell therapy for sepsis with preclinical meta-analyses prior to initiating a first-in-human trial |
topic | Epidemiology and Global Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5153252/ https://www.ncbi.nlm.nih.gov/pubmed/27870924 http://dx.doi.org/10.7554/eLife.17850 |
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