Prediction of neuropsychiatric outcome following mild trauma brain injury: an examination of the Glasgow Coma Scale
Bibliographic record
Abstract
The relationship between the Glasgow Coma Scale (GCS) and neuropsychiatric outcome was examined in 57 consecutive subjects with mild traumatic brain injury (TBI) attending a follow-up clinic. Subjects were grouped according to initial GCS score (15 versus 13-14) and contrasted at an average of 5-6 months post-injury. As expected, those with GCS 13-14 had longer PTA (p = 0.001) and a higher rate of abnormal brain CT scans (p = 0.005). However, no significant differences emerged for indices of neuropsychiatric status, including measures of neurobehavioural symptoms/signs, overall psychological distress, psychiatric 'caseness', functional and psychosocial outcome, frequency of common somatic complaints, and rate of return to work. Subsidiary analyses based upon the presence/absence of CT abnormalities and the duration of PTA (<1 hour versus 1-24 hours) also failed to predict outcome, although a trend associating longer PTA with lower functional outcome was observed. Thus, despite early neurosurgical differences, the results suggest that initial GCS scores do not clearly translate into neuropsychiatric sequelae at follow-up within the rubric of GCS 13-15.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".