Acute predictors of real-world outcomes following traumatic brain injury: a prospective study
Bibliographic record
Abstract
PRIMARY OBJECTIVE: To determine whether the recovery of acute attention and memory improves the prediction of real-world outcomes over that provided by standard demographic and injury-severity measures. RESEARCH DESIGN: Participants were recruited consecutively at the time of injury and followed prospectively at 1 (time 1, or T1) and 4 years (time 2, or T2). METHODS AND PROCEDURES: Measures of attention and memory and the Galveston Orientation and Amnesia Test (GOAT) were administered to 94 participants daily from the time of injury until the criterion was met. Sixty-three per cent returned at T1 and 53% returned at T2. Outcomes were psychosocial distress, return to work and/or school, and quality of life. MAIN OUTCOMES AND RESULTS: Recovery of attention, memory and orientation did not significantly improve prediction of outcomes at T1, but did so at T2. At T2, recovery of free recall of three words over 24 h was a more sensitive predictor of psychosocial distress and return to productivity than the GOAT. CONCLUSIONS: Free recall of three words may be a useful acute clinical test to enhance prediction of long-term outcomes.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".