Evaluation of adjunct extended-release quetiapine fumarate on sleep disturbance and quality in patients with major depressive disorder and an inadequate response to on-going antidepressant therapy
Bibliographic record
Abstract
Sleep disturbance is common in depression and is a risk factor for recurrence and suicide. This analysis evaluated the effects of adjunct extended-release quetiapine fumarate (quetiapine XR) on sleep disturbance and quality in patients with major depressive disorder (MDD) and an inadequate response to on-going antidepressant therapy. Pooled data from two 6-wk, randomized, double-blind, placebo-controlled trials were analysed post hoc. Patients received once-daily quetiapine XR [(150 mg/d), n = 309; (300 mg/d), n = 307] or placebo (n = 303) adjunct to on-going antidepressant therapy. Analyses included: change from randomization in Montgomery-Åsberg Depression Rating Scale (MADRS) Item 4 (reduced sleep) score; Hamilton Rating Scale for Depression (HAMD) Items 4 (insomnia-early), 5 (insomnia-middle) and 6 (insomnia-late) scores; HAMD sleep disturbance factor (Items 4+5+6); Pittsburgh Sleep Quality Index (PSQI) global score. Change in MADRS total score was also evaluated in patients stratified by HAMD sleep disturbance factor score (high ≥ 4 and low < 4) at randomization. At week 6, adjunct quetiapine XR (150 and 300 mg/d) reduced MADRS Item 4, HAMD Items 4, 5 and 6, HAMD sleep disturbance factor and PSQI global scores from randomization vs. placebo (all p < 0.001). In patients with high sleep disturbance, quetiapine XR (both doses) improved depressive symptoms (MADRS total score) vs. placebo from week 1 onwards (p < 0.01). Adjunct quetiapine XR improved sleep disturbance and quality vs. placebo in patients with MDD and an inadequate response to on-going antidepressant treatment, and was effective against depressive symptoms in patients experiencing high sleep disturbance.
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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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".