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Evaluating mesenchymal stem cell therapy for sepsis with preclinical meta-analyses prior to initiating a first-in-human trial.pdf (2.05 MB)

Evaluating mesenchymal stem cell therapy for sepsis with preclinical meta-analyses prior to initiating a first-in-human trial.

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posted on 2018-08-07, 15:32 authored by Manoj M. Lalu, Katrina J . Sullivan, Shirley H. J. Mei, David Moher, Alexander Straus, Dean A. Fergusson, Duncan J. Stewart, Mazen Jazi, Malcolm MacLeod, Brent Winston, John Marshall, Brian Hutton, Keith R. Walley, Lauralyn McIntyre, Canadian Critical Care Translational Biology Group
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.

Funding

MML was supported by a fellowship by the Heart and Stroke Foundation of Canada. DM is supported by a University Research Chair. MRM is supported by the UK NC3Rs (grant NC/L000970/1). Northern Therapeutics provided support in the form of salaries for authors [DS and SM], but did not have any additional role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. No external funding was received for this work. We wish to acknowledge Risa Shorr, Information Specialist from the Ottawa Hospital Research Institute (OHRI) for assistance in designing the systematic search strategy and Ranjeeta Mallick statistician at the OHRI for consultation and conduct of initial statistical analysis. We also thank Dr. Tania Bubela from the University of Alberta, and Drs. AJ Frenette and Jennifer Tsang from the Canadian Critical Care Translational Biology Group for review of the manuscript.

History

Citation

Elife, 2016, 5:e17850

Author affiliation

/Organisation/COLLEGE OF LIFE SCIENCES

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  • VoR (Version of Record)

Published in

Elife

Publisher

eLife Sciences Publications

eissn

2050-084X

Acceptance date

2016-11-02

Copyright date

2016

Available date

2018-08-07

Publisher version

https://elifesciences.org/articles/17850

Language

en

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