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Biomarkers for Traumatic Brain Injury: Data Standards and Statistical Considerations

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Harvard

Huie, JR, Mondello, S, Lindsell, CJ, Antiga, L, Yuh, EL, Zanier, ER, Masson, S, Rosario, BL, Ferguson, AR, Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) Investigators, The Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) Investigators, Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) Participants and Investigators, Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) Participants and Investigators, Kondziella, D & Fabricius, ME 2021, 'Biomarkers for Traumatic Brain Injury: Data Standards and Statistical Considerations', Journal of Neurotrauma, bind 38, nr. 18, s. 2514-2529. https://doi.org/10.1089/neu.2019.6762

APA

Huie, J. R., Mondello, S., Lindsell, C. J., Antiga, L., Yuh, E. L., Zanier, E. R., Masson, S., Rosario, B. L., Ferguson, A. R., Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) Investigators, The Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) Investigators, Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) Participants and Investigators, Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) Participants and Investigators, Kondziella, D., & Fabricius, M. E. (2021). Biomarkers for Traumatic Brain Injury: Data Standards and Statistical Considerations. Journal of Neurotrauma, 38(18), 2514-2529. https://doi.org/10.1089/neu.2019.6762

CBE

Huie JR, Mondello S, Lindsell CJ, Antiga L, Yuh EL, Zanier ER, Masson S, Rosario BL, Ferguson AR, Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) Investigators, The Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) Investigators, Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) Participants and Investigators, Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) Participants and Investigators, Kondziella D, Fabricius ME. 2021. Biomarkers for Traumatic Brain Injury: Data Standards and Statistical Considerations. Journal of Neurotrauma. 38(18):2514-2529. https://doi.org/10.1089/neu.2019.6762

MLA

Vancouver

Huie JR, Mondello S, Lindsell CJ, Antiga L, Yuh EL, Zanier ER o.a. Biomarkers for Traumatic Brain Injury: Data Standards and Statistical Considerations. Journal of Neurotrauma. 2021 sep 15;38(18):2514-2529. https://doi.org/10.1089/neu.2019.6762

Author

Huie, J Russell ; Mondello, Stefania ; Lindsell, Christopher J ; Antiga, Luca ; Yuh, Esther L ; Zanier, Elisa R ; Masson, Serge ; Rosario, Bedda L ; Ferguson, Adam R ; Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) Investigators, The Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) Investigators, Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) Participants and Investigators, Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) Participants and Investigators ; Kondziella, Daniel ; Fabricius, Martin Ejler. / Biomarkers for Traumatic Brain Injury : Data Standards and Statistical Considerations. I: Journal of Neurotrauma. 2021 ; Bind 38, Nr. 18. s. 2514-2529.

Bibtex

@article{f193124bdbf643aca7ee24c82f3e352e,
title = "Biomarkers for Traumatic Brain Injury: Data Standards and Statistical Considerations",
abstract = "Recent biomarker innovations hold potential for transforming diagnosis, prognostic modeling, and precision therapeutic targeting of traumatic brain injury (TBI). However, many biomarkers, including brain imaging, genomics, and proteomics, involve vast quantities of high-throughput and high-content data. Management, curation, analysis, and evidence synthesis of these data are not trivial tasks. In this review, we discuss data management concepts and statistical and data sharing strategies when dealing with biomarker data in the context of TBI research. We propose that application of biomarkers involves three distinct steps-discovery, evaluation, and evidence synthesis. First, complex/big data has to be reduced to useful data elements at the stage of biomarker discovery. Second, inferential statistical approaches must be applied to these biomarker data elements for assessment of biomarker clinical utility and validity. Last, synthesis of relevant research is required to support practice guidelines and enable health decisions informed by the highest quality, up-to-date evidence available. We focus our discussion around recent experiences from the International Traumatic Brain Injury Research (InTBIR) initiative, with a specific focus on four major clinical projects (Transforming Research and Clinical Knowledge in TBI, Collaborative European NeuroTrauma Effectiveness Research in TBI, Collaborative Research on Acute Traumatic Brain Injury in Intensive Care Medicine in Europe, and Approaches and Decisions in Acute Pediatric TBI Trial), which are currently enrolling subjects in North America and Europe. We discuss common data elements, data collection efforts, data-sharing opportunities, and challenges, as well as examine the statistical techniques required to realize successful adoption and use of biomarkers in the clinic as a foundation for precision medicine in TBI.",
keywords = "biomarkers, data sharing, traumatic brain injury",
author = "Huie, {J Russell} and Stefania Mondello and Lindsell, {Christopher J} and Luca Antiga and Yuh, {Esther L} and Zanier, {Elisa R} and Serge Masson and Rosario, {Bedda L} and Ferguson, {Adam R} and {Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) Investigators, The Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) Investigators, Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) Participants and Investigators, Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) Participants and Investigators} and Daniel Kondziella and Fabricius, {Martin Ejler}",
year = "2021",
month = sep,
day = "15",
doi = "10.1089/neu.2019.6762",
language = "English",
volume = "38",
pages = "2514--2529",
journal = "Journal of Neurotrauma",
issn = "0897-7151",
publisher = "Mary Ann Liebert Inc.",
number = "18",

}

RIS

TY - JOUR

T1 - Biomarkers for Traumatic Brain Injury

T2 - Data Standards and Statistical Considerations

AU - Huie, J Russell

AU - Mondello, Stefania

AU - Lindsell, Christopher J

AU - Antiga, Luca

AU - Yuh, Esther L

AU - Zanier, Elisa R

AU - Masson, Serge

AU - Rosario, Bedda L

AU - Ferguson, Adam R

AU - Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) Investigators, The Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) Investigators, Collaborative European NeuroTrauma Effectiveness Resear

A2 - Kondziella, Daniel

A2 - Fabricius, Martin Ejler

PY - 2021/9/15

Y1 - 2021/9/15

N2 - Recent biomarker innovations hold potential for transforming diagnosis, prognostic modeling, and precision therapeutic targeting of traumatic brain injury (TBI). However, many biomarkers, including brain imaging, genomics, and proteomics, involve vast quantities of high-throughput and high-content data. Management, curation, analysis, and evidence synthesis of these data are not trivial tasks. In this review, we discuss data management concepts and statistical and data sharing strategies when dealing with biomarker data in the context of TBI research. We propose that application of biomarkers involves three distinct steps-discovery, evaluation, and evidence synthesis. First, complex/big data has to be reduced to useful data elements at the stage of biomarker discovery. Second, inferential statistical approaches must be applied to these biomarker data elements for assessment of biomarker clinical utility and validity. Last, synthesis of relevant research is required to support practice guidelines and enable health decisions informed by the highest quality, up-to-date evidence available. We focus our discussion around recent experiences from the International Traumatic Brain Injury Research (InTBIR) initiative, with a specific focus on four major clinical projects (Transforming Research and Clinical Knowledge in TBI, Collaborative European NeuroTrauma Effectiveness Research in TBI, Collaborative Research on Acute Traumatic Brain Injury in Intensive Care Medicine in Europe, and Approaches and Decisions in Acute Pediatric TBI Trial), which are currently enrolling subjects in North America and Europe. We discuss common data elements, data collection efforts, data-sharing opportunities, and challenges, as well as examine the statistical techniques required to realize successful adoption and use of biomarkers in the clinic as a foundation for precision medicine in TBI.

AB - Recent biomarker innovations hold potential for transforming diagnosis, prognostic modeling, and precision therapeutic targeting of traumatic brain injury (TBI). However, many biomarkers, including brain imaging, genomics, and proteomics, involve vast quantities of high-throughput and high-content data. Management, curation, analysis, and evidence synthesis of these data are not trivial tasks. In this review, we discuss data management concepts and statistical and data sharing strategies when dealing with biomarker data in the context of TBI research. We propose that application of biomarkers involves three distinct steps-discovery, evaluation, and evidence synthesis. First, complex/big data has to be reduced to useful data elements at the stage of biomarker discovery. Second, inferential statistical approaches must be applied to these biomarker data elements for assessment of biomarker clinical utility and validity. Last, synthesis of relevant research is required to support practice guidelines and enable health decisions informed by the highest quality, up-to-date evidence available. We focus our discussion around recent experiences from the International Traumatic Brain Injury Research (InTBIR) initiative, with a specific focus on four major clinical projects (Transforming Research and Clinical Knowledge in TBI, Collaborative European NeuroTrauma Effectiveness Research in TBI, Collaborative Research on Acute Traumatic Brain Injury in Intensive Care Medicine in Europe, and Approaches and Decisions in Acute Pediatric TBI Trial), which are currently enrolling subjects in North America and Europe. We discuss common data elements, data collection efforts, data-sharing opportunities, and challenges, as well as examine the statistical techniques required to realize successful adoption and use of biomarkers in the clinic as a foundation for precision medicine in TBI.

KW - biomarkers

KW - data sharing

KW - traumatic brain injury

UR - http://www.scopus.com/inward/record.url?scp=85115647552&partnerID=8YFLogxK

U2 - 10.1089/neu.2019.6762

DO - 10.1089/neu.2019.6762

M3 - Journal article

C2 - 32046588

VL - 38

SP - 2514

EP - 2529

JO - Journal of Neurotrauma

JF - Journal of Neurotrauma

SN - 0897-7151

IS - 18

ER -

ID: 61292165