A SHORT-TERM LONGITUDINAL STUDY ON MULTIDIMENSIONAL OUTCOMES FOLLOWING MILD TRAUMATIC BRAIN INJURY IN MULTI-ETHNIC MALAYSIA
Bibliographic record
Abstract
This is a short-term longitudinal study of physical, cognitive, psychological and functional outcomes following mild traumatic brain injury (mTBI) in adults, caused by road traffic accident (RTA). Outcome measures were the Montreal Cognitive Assessment (MoCA), the Neuropsychological Assessment Battery Screening Module (S-NAB), the Patient Health Questionnaire (PHQ-9) and the Generalized Anxiety Disorder 7 (GAD-7) scale. Functional outcomes included returning to working/academia and driving, lifestyle changes, financial claims and litigation status. A total of 285 individuals were diagnosed with mTBI, involving young male motorcyclists (90%): uncomplicated mTBI, n=201; complicated mTBI, n=84. Ethnic distribution consisted of 204 Malays, 58 Indians and 23 Chinese. MoCA detected cognitive deficits (mean=23.11, SD=3.41) within 72 hours of injury. At two weeks, somatic manifestations, physical injuries, cognitive deficits and psychological symptoms were detected. At three months of injury, the language domain was persistently impaired, with a lower score on most cognitive domains in the complicated mTBI category than the uncomplicated mTBI. Psychological and somatic symptoms had improved. Almost 50% of patients had returned to a functional baseline within two weeks of injury and a further 24% within three months. A small proportion of patients made active lifestyle changes (<25%), financial injury claims (38%) and were involved in litigation (11%). In conclusion, mTBI in multi-ethnic Malaysia has multifaceted deficits and outcomes. Early management of symptoms may promote maximum recovery.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".