A review of the neuroprotective role of vitamin D in traumatic brain injury with implications for supplementation post-concussion
Bibliographic record
Abstract
BACKGROUND: Nutritional interventions are promising treatment adjuncts in the management of concussion. Vitamin D (VDH) supplementation has demonstrated neuroprotective properties in multiple models of acquired brain injury. OBJECTIVE: Review the neuroprotective role of VDH supplementation following traumatic brain injury (TBI). METHODS: A Medline search was conducted to review manuscripts investigating the influence of VDH status or supplementation on TBI outcomes. RESULTS: The search identified 165 studies, of which five were included. Four manuscripts studied a rodent model of TBI, while one studied a clinical sample. Vitamin D monotherapy independently reduced inflammation and neuronal injury following TBI, with a more robust effect observed in combination with progesterone (PROG). One study demonstrated VDH deficiency exacerbates post-TBI inflammatory response. One study in a clinical sample found combination therapy superior to PROG alone or placebo in improving outcomes after severe TBI. One study observed a more robust response to low-dose VDH compared to high-dose VDH when given in combination with PROG. CONCLUSION: A protective role for VDH and a vitamin D sufficient status was identified for numerous outcomes following TBI. However, VDH supplementation cannot be recommended at this time to improve outcomes following TBI.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".