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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,...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2016
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
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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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