Current Evaluation and Management of Excessive Daytime Sleepiness
Bibliographic record
Abstract
Excessive daytime sleepiness has significant impact on neurological function, and has societal implications. Sleepiness is a common feature of many neurological conditions. A careful history will often reveal one of many common causes of excessive daytime sleepiness and suggest appropriate treatment. Neurophysiological testing can provide objective assessment. Behavioural management is an important first step in management. Treatment of common concurrent sleep disorders is also essential. Currently available medications can further symptomatically improve function in many individuals. The strongest evidence base is for the treatment of narcolepsy--a prototype disorder of excessive daytime sleepiness. Currently used medications include modafinil, stimulants, and sodium oxybate amongst others. This review discusses important features in the diagnosis of daytime sleepiness in adults, and outlines a treatment approach. Further evidence-based information about the management of this common problem is essential.
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How this classification was reachedexpand
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 | 0.008 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.011 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.004 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".