L-Tryptophan As Treatment for Pediatric Non-Rapid Eye Movement Parasomnia
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
OBJECTIVE: Parasomnias are common in childhood but there is no established treatment for parasomnias. The aim of this study was to (1) report on the outcome of using L-tryptophan to manage parasomnias in children and (2) examine sleep architecture and subjective psychological/sleep symptoms in children with parasomnia. METHOD: A retrospective analysis was conducted of charts of children (3-18 years old) who underwent polysomnographic testing and were diagnosed with primary parasomnia. Study patients were either prescribed L-tryptophan (daily dose range: 500-4500 mg, mean dose of 2400 mg) to manage their parasomnias or administered no treatment whereby parents/guardians declined treatment. Questionnaires assessing sleep and psychosocial symptoms were administered at the initial clinical consultation and a follow-up parasomnia outcome questionnaire was administered over the phone to parents/guardians. RESULTS: One hundred and sixty-five children (106 boys, 59 girls) received a sleep diagnosis of primary parasomnia. A significantly (p < 0.001) higher proportion (84%) of children taking L-tryptophan experienced improvements in their parasomnia symptoms compared with those (47%) who chose not to use L-tryptophan. Polysomnography revealed that children with parasomnias had an altered sleep architecture based on age-related normative values. Children with a diagnosis of parasomnia were also subjectively more fatigued and endorsed more depressive symptoms. CONCLUSIONS: This study finds that parasomnias in children are not benign and that treatment with L-tryptophan provides a favorable outcome. Children diagnosed with parasomnia had altered sleep architecture, were more fatigued, and endorsed depressive symptoms. This study supports the need to diagnose and treat parasomnias in children.
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 | 0.000 | 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