Improving sleep: Initial headache treatment in OIF/OEF veterans with blast-induced mild traumatic brain injury
Bibliographic record
Abstract
This was an observational study of a cohort of 126 veterans with mild traumatic brain injury caused by an explosion during deployment in Operation Iraqi Freedom or Operation Enduring Freedom (OIF/OEF); 74 of the 126 veterans had comorbidities including frequent, severe headaches and residual deficits on neurological examination, neuropsychological testing, or both. Of these veterans, 71 had posttraumatic stress disorder and only 5 had restful sleep. We examined whether treatment with sleep hygiene counseling and oral prazosin would improve sleep, headaches, and cognitive performance. Nine weeks after providing sleep counseling and initiating an increasing dosage schedule of prazosin at bedtime, 65 veterans reported restful sleep. Peak headache pain (0-10 scale) decreased from 7.28 +/- 0.27 to 4.08 +/- 0.19 (values presented as mean +/- standard deviation). The number of headaches per month decreased from 12.40 +/- 0.94 to 4.77 +/- 0.34. Montreal Cognitive Assessment scores improved from 24.50 +/- 0.49 to 28.60 +/- 0.59. We found these gains maintained 6 months later. This pilot study suggests that addressing sleep is a good first step in treating posttraumatic headaches in OIF/OEF veterans.
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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 | 0.000 |
| 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".