ArticleEClinicalMedicine2024
Predicting recovery in patients with mild traumatic brain injury and a normal CT using serum biomarkers and diffusion tensor imaging (CENTER-TBI): an observational cohort study.
Article in EClinicalMedicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02210221 (Collaborative European NeuroTrauma Effectiveness Research in TBI), which is not on this map. Cited by 11 papers, 1 of them a synthesis that pooled it.
What it found
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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.
Collaborative European NeuroTrauma Effectiveness Research in TBI (CENTER-TBI)
Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Mapping neuroimaging research related to post-traumatic headache after traumatic brain injury: a multi-database bibliometric analysis.Frontiers in neuroscience · 2026Pooled it
- Concussion is associated with multiple sclerosis if it occurs before infectious mononucleosis.Brain communications · 2026Article
- Traumatic brain injury recovery prediction by harmonizing real brain CT and synthetic brain MRI: a pilot study.Brain communications · 2026Article
- Explosive shock wave exposure leads to age-accelerated motor and sensory decline inbioRxiv : the preprint server for biology · 2025Article
- Interpretable Multiomics Models for Predicting Surgical Interventions and Blood Transfusion Requirements in Traumatic Brain Injury.NPJ digital medicine · 2025Article
- Association between Neutrophil-to-Albumin Ratio and 28-Day All-Cause Mortality in Patients with Traumatic Brain Injury : A Retrospective Analysis of the MIMIC-IV Database.Journal of Korean Neurosurgical Society · 2025Article
- From Acute Injury to Chronic Neurodegeneration: Molecular Mechanisms Linking Secondary Brain Injury to Long-Term Pathology.International journal of molecular sciences · 2025Review
- Timing of Magnetic Resonance Imaging (MRI) in Moderate and Severe TBI: A Systematic Review.Journal of clinical medicine · 2025Review
- Traumatic brain injury management in the intensive care unit: standard of care and knowledge gaps.Intensive care medicine · 2025Review
- Animal Models of Traumatic Brain Injury and Their Relevance in Clinical Settings.CNS neuroscience & therapeutics · 2025Review
- Analyzing the Spectrum of mTBI Subgroups.Neurotrauma reportsReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
21 authors.
Funding
Abstract
Background: Even patients with normal computed tomography (CT) head imaging may experience persistent symptoms for months to years after mild traumatic brain injury (mTBI). There is currently no good way to predict recovery and triage patients who may benefit from early follow-up and targeted intervention. We aimed to assess if existing prognostic models can be improved by serum biomarkers or diffusion tensor imaging metrics (DTI) from MRI, and if serum biomarkers can identify patients for DTI. Methods: We included 1025 patients aged >18 years with a Glasgow Coma Score >12 and normal CT from the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) study which recruited between December 19,2014 and December 17, 2017 (NCT02210221). Biomarkers (GFAP, NFL, S100B) were obtained at a median of 8.8 h (Q1-Q3 4.2-16.7) and DTI at 13 days (3-19) after injury. DTI metrics were available in 153 patients for 48 white matter tracts (ICBM-DTI-81 atlas). Incomplete recovery at three months was defined as an extended Glasgow Outcome Scale score <8. Existing prognostic models were fitted with and without biomarkers, or with and without DTI, and internally validated using bootstrapping. Findings: 385 (38%) patients had incomplete recovery. Adding biomarkers did not improve performance beyond the best existing clinical prognostic model [optimism-corrected AUC 0.69 (95% CI 0.65-0.72) and R Interpretation: DTI substantially improved existing prognostic models for functional outcome in patients with mTBI and a normal CT, and biomarkers could help select patients for MRI. If validated, DTI could allow for targeted follow-up and enrichment of clinical trials of early interventions to improve outcome. Funding: EU Seventh Framework Programme, Hannelore Kohl Stiftung, One Mind, Integra LifeSciences, NeuroTrauma Sciences.
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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.