A Pilot, 8-Week, Placebo Lead-In Trial of Quetiapine Extended Release for Depression in Midlife Women
Bibliographic record
Abstract
Perimenopausal and early postmenopausal women have shown an increased risk for developing depression (new onset or recurrent); concomitant vasomotor and other menopause-related complaints significantly affect quality of life and overall functioning. This study examined the effects of quetiapine extended release (XR) in midlife women with major depressive disorder who also reported significant menopause-related symptoms. Forty eligible women with major depressive disorder entered a 2-week, placebo lead-in phase, followed by an 8-week open trial with quetiapine XR, flexible dose, 150-300 mg/d. The primary outcome measure (depressive symptoms) was assessed using the Montgomery-Asberg Depression Rating Scale (MADRS) scores. Other measures included menopause symptoms (Greene Climacteric Scale total scores and subscores) and the impact of hot flashes on functioning (Hot Flash-Related Daily Interference Scale). Weight, cholesterol, triglycerides, and glucose levels were monitored. Data from 24 subjects (modified intent-to-treat, last observation carried forward; quetiapine XR mean dose, 191 [SD, 55] mg/d) showed improvement in depressive and menopause-related symptoms, that is, reduction in MADRS, GCS, and Hot Flash-Related Daily Interference Scale scores (P < 0.01 for all comparisons). Seventeen subjects were considered responders (>50% reduction in MADRS scores); 15 achieved remission (MADRS<10). Main adverse effects included drowsiness and dry mouth. Based on these preliminary results, quetiapine XR should be further examined in larger, controlled trials for the management of depressed, symptomatic midlife women.
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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) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".