| Literature DB >> 33297844 |
Michelle C LaPlaca1,2, J Russell Huie3, Hasan B Alam4, Adam D Bachstetter5, Hűlya Bayir6, Patrick F Bellgowan7, Diana Cummings7, C Edward Dixon6, Adam R Ferguson3, Chantelle Ferland-Beckham8, Candace L Floyd9, Stuart H Friess10, Aristea S Galanopoulou11, Edward D Hall5, Neil G Harris12, Bridget E Hawkins13, Ramona R Hicks14, Lindsey E Hulbert15, Victoria E Johnson16, Patricia A Kabitzke17, Audrey D Lafrenaye18, Vance P Lemmon19, Carrie W Lifshitz20, Jonathan Lifshitz20, David J Loane21, Leonie Misquitta7, Vahagn C Nikolian4, Linda J Noble-Haeusslein22, Douglas H Smith16, Carol Taylor-Burds7, Nsini Umoh23, Olga Vovk7, Aaron M Williams4, Margaret Young6, Laila J Zai24.
Abstract
Traumatic brain injury (TBI) is an extremely complex condition due to heterogeneity in injury mechanism, underlying conditions, and secondary injury. Pre-clinical and clinical researchers face challenges with reproducibility that negatively impact translation and therapeutic development for improved TBI patient outcomes. To address this challenge, TBI Pre-clinical 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 five studies, 44 CDEs), 50% of the CDEs contained at least one missing value, while for the Rotarod dataset (97 animals from three studies, 48 CDEs), over 60% of CDEs contained at least one 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 pre-clinical 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 pre-clinical studies, this effort is intended to bring attention to the discrepancies in assessment and outcome metrics among pre-clinical laboratories and ultimately accelerate translation to clinical research.Entities:
Keywords: big data; common data elements; missing value analysis; pre-clinical; reproducibility
Mesh：
Year: 2021 PMID： 33297844 PMCID： PMC8082734 DOI： 10.1089/neu.2020.7328
Source DB: PubMed Journal: J Neurotrauma ISSN： 0897-7151 Impact factor: 5.269