Efficacy of cognitive behavioral therapy for insomnia and lemborexant medication for different subtypes of chronic insomnia: study protocol for a randomized controlled trial
Bibliographic record
Abstract
INTRODUCTION: Insomnia is a prevalent yet under-characterized disorder, particularly regarding the heterogeneity of patients and their associated responses to different treatment modalities. This often leads to suboptimal management. There is a need to consider personalized approaches tailored to the characteristics of insomnia phenotypes with regard to objective evidence of shortened sleep duration (< 6 h). This study will examine whether there is a differential treatment response to cognitive behavioral therapy for insomnia (CBT-I) versus pharmacotherapy (lemborexant) as a function of insomnia phenotypes (i.e., ± 6 h of sleep). METHODS: This study is a three-arm pragmatic randomized clinical trial, which will enroll 90 adults with chronic insomnia disorder and anxiety/depressive symptoms. Eligible participants will be randomized to one of three conditions (1:1:1) involving CBT-I, lemborexant (Dual Orexin Receptor Antagonist) or placebo medication. Treatment outcomes will be assessed at post-treatment and 6-month follow-up. Insomnia symptom severity as measured by the Insomnia Severity Index will serve as the primary outcome for treatment comparisons. Secondary outcomes will include daily sleep/wake variables derived from the Consensus Sleep Diary, subjective measures of fatigue, mood, mental well-being, functional impairments, and sleep-related beliefs and attitudes. In addition, changes in cognitive performance will be examined as an exploratory outcome. Sleep reactivity and arousal level will be evaluated as potential mediators of treatment-related changes in CBT-I and pharmacotherapy. DISCUSSION: This study will contribute to the development of personalized medicine for managing different insomnia phenotypes and will have implication for knowledge mobilization of sleep research. TRIAL REGISTRATION: ClinicalTrials.gov. Identifier: NCT06779149. Registered on 12 January 2025.
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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 | 0.037 | 0.033 |
| Meta-epidemiology (narrow) | 0.008 | 0.003 |
| Meta-epidemiology (broad) | 0.018 | 0.008 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.009 | 0.009 |
| Insufficient payload (model declined to judge) | 0.070 | 0.012 |
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".