ReviewCurrent opinion in neurology2018
Neurotrauma as a big-data problem.
Review in Current opinion in neurology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed.
- Scoping review of secondary studies using the Federal Interagency of Traumatic Brain Injury Research datasets.Brain injury · 2026Article
- Taking steps toward open data in motor control, learning, and development.Journal of motor learning and development · 2025Article
- An infrastructure for qualified data sharing and team science in late-stage translational spinal cord injury research.Experimental neurology · 2025Review
- Potential Applications and Ethical Considerations for Artificial Intelligence in Traumatic Brain Injury Management.Biomedicines · 2024Review
- Effect-Size Discrepancies in Literature Versus Raw Datasets from Experimental Spinal Cord Injury Studies: A CLIMBER Meta-Analysis.Neurotrauma reports · 2024Article
- Increasing Rigor of Preclinical Research to Maximize Opportunities for Translation.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2023Review
- Excavating FAIR Data: the Case of the Multicenter Animal Spinal Cord Injury Study (MASCIS), Blood Pressure, and Neuro-Recovery.Neuroinformatics · 2022Article
- Empowering Data Sharing and Analytics through the Open Data Commons for Traumatic Brain Injury Research.Neurotrauma reports · 2022Article
- Data-driven approach to integrating genomic and behavioral preclinical traumatic brain injury research.Frontiers in bioengineering and biotechnology · 2022Article
- Toward a causal model of chronic back pain: Challenges and opportunities.Frontiers in computational neuroscience · 2022Review
- Harmonization-Information Trade-Offs for Sharing Individual Participant Data in Biomedicine.Harvard data science review · 2022Article
- Pre-Clinical Common Data Elements for Traumatic Brain Injury Research: Progress and Use Cases.Journal of neurotrauma · 2021Article
- Machine intelligence identifies soluble TNFa as a therapeutic target for spinal cord injury.Scientific reports · 2021Article
- Reproducible analysis of disease space via principal components using the novel R package syndRomics.eLife · 2021Article
- FAIR Data Reuse in Traumatic Brain Injury: Exploring Inflammation and Age as Moderators of Recovery in the TRACK-TBI Pilot.Frontiers in neurology · 2021Article
- COVID-19 and Traumatic Brain Injury (TBI); What We Can Learn From the Viral Pandemic to Better Understand the Biology of TBI, Improve Diagnostics and Develop Evidence-Based Treatments.Frontiers in neurology · 2021Article
- Data Dissemination: Shortening the Long Tail of Traumatic Brain Injury Dark Data.Journal of neurotrauma · 2020Review
- Harmonization of social and physical health measures across prospective clinical studies of combat exposed service members and veterans: the total brain diagnostics program.Frontiers in neurologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
purpose of reviewThe field of neurotrauma research faces a reproducibility crisis. In response, research leaders in traumatic brain injury (TBI) and spinal cord injury (SCI) are leveraging data curation and analytics methods to encourage transparency, and improve the rigor and reproducibility. Here we review the current challenges and opportunities that come from efforts to transform neurotrauma's big data to knowledge. RECENT
findingsThree parallel movements are driving data-driven-discovery in neurotrauma. First, large multicenter consortia are collecting large quantities of neurotrauma data, refining common data elements (CDEs) that can be used across studies. Investigators are now testing the validity of CDEs in diverse research settings. Second, data sharing initiatives are working to make neurotrauma data findable, accessible, interoperable, and reusable (FAIR). These efforts are reflected by recent open data repository projects for preclinical and clinical neurotrauma. Third, machine learning analytics are allowing researchers to uncover novel data-driven-hypotheses and test new therapeutics in multidimensional outcome space. SUMMARY: We are on the threshold of a new era in data collection, curation, and analysis. The next phase of big data in neurotrauma research will require responsible data stewardship, a culture of data-sharing, and the illumination of 'dark data'.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.