For veterans with mild traumatic brain injury, improved posttraumatic stress disorder severity and sleep correlated with symptomatic improvement
Bibliographic record
Abstract
This was an observational study of a cohort of 63 Operation Iraqi Freedom/Operation Enduring Freedom veterans with mild traumatic brain injury (mTBI) associated with an explosion. They had headaches, residual neurological deficits (NDs) on neurological examination, and posttraumatic stress disorder (PTSD) and were seen on average 2.5 years after their last mTBI. We treated them with sleep hygiene counseling and oral prazosin. We monitored headache severity, daytime sleepiness using the Epworth Sleepiness Scale, cognitive performance using the Montreal Cognitive Assessment test, and the presence of NDs. We quantitatively measured olfaction and assessed PTSD severity using the PTSD Checklist-Military Version. Nine weeks after starting sleep counseling and bedtime prazosin, the veterans' headache severity decreased, cognitive function as assayed with a brief screening tool improved, and daytime sleepiness diminished. Six months after completing treatment, the veterans demonstrated additional improvement in headache severity and daytime sleepiness and their improvements in cognitive function persisted. There were no changes in the prevalence of NDs or olfaction scores. Clinical improvements correlated with reduced PTSD severity and daytime sleepiness. The data suggested that reduced clinical manifestations following mTBI correlated with PTSD severity and improvement in sleep, but not the presence of NDs or olfaction impairment.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".