How to design preclinical studies in nanomedicine and cell therapy to maximize the prospects of clinical translation release_3cq2nk2pundonlihocqt775uuy

by John P. A. Ioannidis, Betty Y. S. Kim, Alan Trounson

Abstract

The clinical translation of promising products, technologies and interventions from the disciplines of nanomedicine and cell therapy has been slow and inefficient. In part, translation has been hampered by suboptimal research practices that propagate biases and hinder reproducibility. These include the publication of small and underpowered preclinical studies, suboptimal study design (in particular, biased allocation of experimental groups, experimenter bias and lack of necessary controls), the use of uncharacterized or poorly characterized materials, poor understanding of the relevant biology and mechanisms, poor use of statistics, large between-model heterogeneity, absence of replication, lack of interdisciplinarity, poor scientific training in study design and methods, a culture that does not incentivize transparency and sharing, poor or selective reporting, misaligned incentives and rewards, high costs of materials and protocols, and complexity of the developed products, technologies and interventions. In this Perspective, we discuss special manifestations of these problems in nanomedicine and in cell therapy, and describe mitigating strategies. Progress on reducing bias and enhancing reproducibility early on ought to enhance the translational potential of biomedical findings and technologies.
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Published in Nature Biomedical Engineering by Springer Nature
ISSN-L 2157-846X
Volume 2
Issue 11
Page(s) 797-809
Release Date 2018-11-08
Publisher Springer Nature
Primary Language en (lookup)

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Date   2018-11-08
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