A Pilot Study on the Effects of Sodium Oxybate on Sleep Architecture and Daytime Alertness in Narcolepsy
Bibliographic record
Abstract
STUDY OBJECTIVES: To measure the effect of nocturnal sodium oxybate administration on sleep architecture in patients with narcolepsy. DESIGN: Open-label study. SETTING: Four accredited sleep clinics. PARTICIPANTS: 25 adult patients with narcolepsy-cataplexy. INTERVENTIONS: Patients were weaned from previously used anticataplectic medications and administered increasing nightly doses of sodium oxybate over a 10-week period: 4.5 g for 4 weeks, 6 g for 2 weeks, 7.5 g for 2 weeks, and 9 g for 2 weeks. The effect of sodium oxybate was measured using nocturnal polysomnograms, the Epworth Sleepiness Scale, the Maintenance of Wakefulness Test, and a narcolepsy symptoms questionnaire. RESULTS: The nightly administration of sodium oxybate produced dose-related increases in slow-wave sleep and delta power, rapid eye movement sleep increased initially and then decreased in a dose-related manner, nocturnal awakenings decreased, and daytime sleep latency increased. Significant improvements in daytime symptoms were measured by the Maintenance of Wakefulness Test, the Epworth Sleepiness Scale, and the narcolepsy symptom questionnaire. CONCLUSIONS: Nocturnal administration of sodium oxybate in patients with narcolepsy produces significant improvements in sleep architecture, which coincide with significant improvements in daytime functioning.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".