@article{ref1,
title="Preclinical common data elements for traumatic brain injury research: progress and use cases",
journal="Journal of neurotrauma",
year="2020",
author="Laplaca, Michelle C. and Huie, J. Russell and Alam, Hasan B. and Bachstetter, Adam D. and Bayir, Hulya and Bellgowan, Patrick S. F. and Cummings, Diana and Dixon, C. Edward and Ferguson, Adam R. and Ferland-Beckham, Chantelle and Floyd, Candace and Friess, Stuart H. and Galanopoulou, Aristea and Hall, Edward D. and Harris, Neil G. and Hawkins, Bridget E. and Hicks, Ramona and Hulbert, Lindsey E. and Johnson, Victoria E. and Kabitzke, Patricia and Lafrenaye, Audrey D. and Lemmon, Vance and Lifshitz, Carrie and Lifshitz, Jonathan and Loane, David J. and Misquitta, Leonie and Nikolian, Vahagn C. and Noble, Linda and Smith, Douglas H. and Taylor-Burds, Carol and Umoh, Nsini and Vovk, Olga and Williams, Aaron M. and Young, Margaret and Zai, Laila",
volume="ePub",
number="ePub",
pages="ePub-ePub",
abstract="Traumatic brain injury (TBI) is an extremely complex condition due to heterogeneity in injury mechanism, underlying conditions, and secondary injury. Preclinical and clinical researchers face challenges with reproducibility that negatively impact translation and therapeutic development for improved TBI patient outcomes. To address this challenge, TBI Preclinical Working Groups expanded upon previous efforts and developed common data elements (CDEs) to describe the most frequently used experimental parameters. The working groups created 913 CDEs to describe study metadata, animal characteristics, animal history, injury models, and behavioral tests. Use cases applied a set of commonly used CDEs to address and evaluate the degree of missing data resulting from combining legacy data from different laboratories for two different outcome measures (Morris water maze, MWM; RotorRod/Rotarod). Data were cleaned and harmonized to Form Structures containing the relevant CDEs and subjected to missing value analysis. For the MWM dataset (358 animals from 5 studies, 44 CDEs), 50% of the CDEs contained at least 1 missing value, while for the Rotarod dataset (97 animals from 3 studies, 48 CDEs), over 60% of CDEs contained at least 1 missing value. Overall, 35% of values were missing across the MWM dataset, and 33% of values were missing for the Rotarod dataset, demonstrating both the feasibility and the challenge of combining legacy datasets using CDEs. The CDEs and the associated forms created here are available to the broader preclinical research community to promote consistent and comprehensive data acquisition, as well as to facilitate data sharing and formation of data repositories. In addition to addressing the challenge of standardization in TBI preclinical studies, this effort is intended to bring attention to the discrepancies in assessment and outcome metrics among preclinical laboratories and ultimately accelerate translation to clinical research.<p /> <p>Language: en</p>",
language="en",
issn="0897-7151",
doi="10.1089/neu.2020.7328",
url="http://dx.doi.org/10.1089/neu.2020.7328"
}