Literature DB >> 21044713

Common data elements for research on traumatic brain injury and psychological health: current status and future development.

John Whyte1, Jennifer Vasterling, Geoffrey T Manley.   

Abstract

The National Institute of Neurologic Disorders and Stroke, Defense Centers of Excellence for Psychological Health and Traumatic Brain Injury, National Institute on Disability and Rehabilitation Research, and Defense and Veterans Brain Injury Center jointly supported an effort to develop common data elements (CDEs, ie, consensus-based content domains of importance and recommended ways to measure them) for research on traumatic brain injury and psychological health. The authors served as participants in this effort as well as editors of the resulting articles. This article describes the current status of this multiagency endeavor, the obstacles encountered, and possible directions for future development. Challenges that occurred within the working groups that developed the CDE recommendations and similarities and differences among the articles that describe those recommendations were reviewed. Across all of the working groups, there were challenges in striking a balance between specificity in recommendations to researchers and the need to tailor the selection of variables to specific study aims. The domains addressed by the different working groups varied in the research available to guide the selection of important content areas to be measured and the specific tools for measuring them. The working groups also addressed this challenge in somewhat different ways. The CDE effort must enhance consensus among researchers with similar interests while not stifling innovation and scientific rigor. This will require regular updating of the recommendations and may benefit from more standardized criteria for the selection of important content areas and measurement tools across domains.
Copyright © 2010 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 21044713     DOI: 10.1016/j.apmr.2010.06.031

Source DB:  PubMed          Journal:  Arch Phys Med Rehabil        ISSN: 0003-9993            Impact factor:   3.966


  22 in total

1.  Common data elements for pediatric traumatic brain injury: recommendations from the working group on demographics and clinical assessment.

Authors:  P David Adelson; Jose Pineda; Michael J Bell; Nicholas S Abend; Rachel P Berger; Christopher C Giza; Gillian Hotz; Mark S Wainwright
Journal:  J Neurotrauma       Date:  2011-11-07       Impact factor: 5.269

2.  Progress in developing common data elements for traumatic brain injury research: version two--the end of the beginning.

Authors:  Ramona Hicks; Joseph Giacino; Cynthia Harrison-Felix; Geoffrey Manley; Alex Valadka; Elisabeth A Wilde
Journal:  J Neurotrauma       Date:  2013-09-09       Impact factor: 5.269

3.  Association of a common genetic variant within ANKK1 with six-month cognitive performance after traumatic brain injury.

Authors:  John K Yue; Angela M Pronger; Adam R Ferguson; Nancy R Temkin; Sourabh Sharma; Jonathan Rosand; Marco D Sorani; Thomas W McAllister; Jason Barber; Ethan A Winkler; Esteban G Burchard; Donglei Hu; Hester F Lingsma; Shelly R Cooper; Ava M Puccio; David O Okonkwo; Ramon Diaz-Arrastia; Geoffrey T Manley
Journal:  Neurogenetics       Date:  2015-01-30       Impact factor: 2.660

Review 4.  A quantitative analysis of clinical trial designs in spinal cord injury based on ICCP guidelines.

Authors:  Marco D Sorani; Michael S Beattie; Jacqueline C Bresnahan
Journal:  J Neurotrauma       Date:  2012-04-02       Impact factor: 5.269

Review 5.  Genetics and outcomes after traumatic brain injury (TBI): what do we know about pediatric TBI?

Authors:  Brad Kurowski; Lisa J Martin; Shari L Wade
Journal:  J Pediatr Rehabil Med       Date:  2012

6.  Measurement of the glial fibrillary acidic protein and its breakdown products GFAP-BDP biomarker for the detection of traumatic brain injury compared to computed tomography and magnetic resonance imaging.

Authors:  Paul J McMahon; David M Panczykowski; John K Yue; Ava M Puccio; Tomoo Inoue; Marco D Sorani; Hester F Lingsma; Andrew I R Maas; Alex B Valadka; Esther L Yuh; Pratik Mukherjee; Geoffrey T Manley; David O Okonkwo
Journal:  J Neurotrauma       Date:  2015-01-26       Impact factor: 5.269

7.  Diffusion tensor imaging for outcome prediction in mild traumatic brain injury: a TRACK-TBI study.

Authors:  Esther L Yuh; Shelly R Cooper; Pratik Mukherjee; John K Yue; Hester F Lingsma; Wayne A Gordon; Alex B Valadka; David O Okonkwo; David M Schnyer; Mary J Vassar; Andrew I R Maas; Geoffrey T Manley
Journal:  J Neurotrauma       Date:  2014-07-09       Impact factor: 5.269

8.  Point-of-Care Platform Blood Biomarker Testing of Glial Fibrillary Acidic Protein versus S100 Calcium-Binding Protein B for Prediction of Traumatic Brain Injuries: A Transforming Research and Clinical Knowledge in Traumatic Brain Injury Study.

Authors:  David O Okonkwo; Ross C Puffer; Ava M Puccio; Esther L Yuh; John K Yue; Ramon Diaz-Arrastia; Frederick K Korley; Kevin K W Wang; Xiaoying Sun; Sabrina R Taylor; Pratik Mukherjee; Amy J Markowitz; Sonia Jain; Geoffrey T Manley
Journal:  J Neurotrauma       Date:  2020-09-14       Impact factor: 5.269

9.  Magnetic resonance imaging improves 3-month outcome prediction in mild traumatic brain injury.

Authors:  Esther L Yuh; Pratik Mukherjee; Hester F Lingsma; John K Yue; Adam R Ferguson; Wayne A Gordon; Alex B Valadka; David M Schnyer; David O Okonkwo; Andrew I R Maas; Geoffrey T Manley
Journal:  Ann Neurol       Date:  2012-12-07       Impact factor: 10.422

10.  GFAP-BDP as an acute diagnostic marker in traumatic brain injury: results from the prospective transforming research and clinical knowledge in traumatic brain injury study.

Authors:  David O Okonkwo; John K Yue; Ava M Puccio; David M Panczykowski; Tomoo Inoue; Paul J McMahon; Marco D Sorani; Esther L Yuh; Hester F Lingsma; Andrew I R Maas; Alex B Valadka; Geoffrey T Manley
Journal:  J Neurotrauma       Date:  2013-08-01       Impact factor: 5.269

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