ArticleJournal of neurotrauma2017
Development of a Prediction Model for Post-Concussive Symptoms following Mild Traumatic Brain Injury: A TRACK-TBI Pilot Study.
Article in Journal of neurotrauma, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 2 of them syntheses that pooled it.
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Who cites it
58 citing papers in PubMed, 2 syntheses or guidelines pooled it, 116 citations in OpenAlex.
- Blood-Based Protein Biomarkers for the Management of Traumatic Brain Injuries in Adults Presenting to Emergency Departments with Mild Brain Injury: A Living Systematic Review and Meta-Analysis.Journal of neurotrauma · 2021Pooled it
- Concussion Guidelines Step 2: Evidence for Subtype Classification.Neurosurgery · 2020Guideline
- Impact of routine use of the GFAP and UCH-L1 TBI blood test for management of mild TBI on patient care in a European emergency department.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2026Article
- Use of In-Hospital Mild Traumatic Brain Injury Symptom Checklist Within 24 Hours of Injury to Predict 3-Month Symptom Outcome.The Journal of emergency medicine · 2026Article
- Article
- Observational
- Distinct symptom recoveries based upon highest level of care in patients with sport-related concussion or traumatic brain injury and Glasgow Coma Scale 13-15.Clinical neurology and neurosurgery · 2025Article
- Review
- Factors Associated with Persisting Post-Concussion Symptoms Among Collegiate Athletes and Military Cadets: Findings from the NCAA-DoD CARE Consortium.Sports medicine (Auckland, N.Z.) · 2025Article
- Outcomes after Traumatic Brain Injury with and Without Computed Tomography.Journal of neurotrauma · 2025Article
- Comparison of Machine Learning Models in Predicting Mental Health Sequelae Following Concussion in Youth.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2025Article
- Recovery from Mild Traumatic Brain Injury in the Nonathletic Population: A Systematic Review.Neurotrauma reports · 2025Review
- Observational
- Symptom Persistence Relates to Volume and Asymmetry of the Limbic System after Mild Traumatic Brain Injury.Journal of clinical medicine · 2024Article
- Can Long-Term Outcomes of Posttraumatic Headache be Predicted?Current pain and headache reports · 2024Review
- Cause of Concussion With Persisting Symptoms Is Associated With Long-Term Recovery and Symptom Type, Duration, and Number in a Longitudinal Cohort of 600 Patients.Journal of neurotrauma · 2024Article
- Article
- Proteomic discovery of prognostic protein biomarkers for persisting problems after mild traumatic brain injury.Scientific reports · 2023Article
- Characterizing the profiles of patients with acute concussion versus prolonged post-concussion symptoms in Ontario.Scientific reports · 2023Article
- Prognostic Models for Global Functional Outcome and Post-Concussion Symptoms Following Mild Traumatic Brain Injury: A Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) Study.Journal of neurotrauma · 2023Article
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 2 countries.
Funding
Abstract
Post-concussive symptoms occur frequently after mild traumatic brain injury (mTBI) and may be categorized as cognitive, somatic, or emotional. We aimed to: 1) assess whether patient demographics and clinical variables predict development of each of these three symptom categories, and 2) develop a prediction model for 6-month post-concussive symptoms. Patients with mTBI (Glasgow Coma Scale score 13-15) from the prospective multi-center Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) Pilot study (2010-2012) who completed the Rivermead Post Concussion Symptoms Questionnaire (RPQ) at 6 months post-injury were included. Linear regression was utilized to determine the predictive value of candidate predictors for cognitive, somatic, and emotional subscales individually, as well as the overall RPQ. The final prediction model was developed using least absolute shrinkage and selection operator shrinkage and bootstrap validation. We included 277 mTBI patients (70% male; median age 42 years). No major differences in the predictive value of our set of predictors existed for the cognitive, somatic, and emotional subscales, and therefore one prediction model for the RPQ total scale was developed. Years of education, pre-injury psychiatric disorders, and prior TBI were the strongest predictors of 6-month post-concussive symptoms. The total set of predictors explained 21% of the variance, which decreased to 14% after bootstrap validation. Demographic and clinical variables at baseline are predictive of 6-month post-concussive symptoms following mTBI; however, these variables explain less than one-fifth of the total variance in outcome. Model refinement with larger datasets, more granular variables, and objective biomarkers are needed before implementation in clinical practice.
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Registered trials
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