Improving sleep: Initial headache treatment in OIF/OEF veterans with blast-induced mild traumatic brain injury
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 it