Modulated Neuroprotection in Unresponsive Wakefulness Syndrome after Severe Traumatic Brain Injury
Bibliographic record
Abstract
BACKGROUND: We aimed to assess the effects of modulated neuroprotection with intermittent administration in patients with unresponsive wakefulness syndrome (UWS) after severe traumatic brain injury (TBI). METHODS: Retrospective analysis of 60 patients divided into two groups, with and without neuroprotective treatment with Actovegin, Cerebrolysin, pyritinol, L-phosphothreonine, L-glutamine, hydroxocobalamin, alpha-lipoic acid, carotene, DL-α-tocopherol, ascorbic acid, thiamine, pyridoxine, cyanocobalamin, Q 10 coenzyme, and L-carnitine alongside standard treatment. MAIN OUTCOME MEASURES: Glasgow Coma Scale (GCS) after TBI, Extended Glasgow Coma Scale (GOS E), Disability Rankin Scale (DRS), Functional Independence Measurement (FIM), and Montreal Cognitive Assessment (MOCA), all assessed at 1, 3, 6, 12, and 24 months after TBI. RESULTS: = 0.000), towards a high cognitive level MOCA = 22 ± 6 points, upper moderate disability GOS-E = 6 ± 1, DRS = 6 ± 4, and an assisted gait, FIM =101 ± 25. The improvement in cognitive and physical functioning was strongly correlated with lower UWS duration (-0.8532) and higher GCS score (0.9803). CONCLUSION: Modulated long-term neuroprotection may be the therapeutic key for patients to overcome UWS after severe TBI.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".