Efficacy of Duloxetine on Cognition, Depression, and Pain in Elderly Patients With Major Depressive Disorder: An 8-Week, Double-Blind, Placebo-Controlled Trial
Bibliographic record
Abstract
OBJECTIVE: This study compared the effects of duloxetine, 60 mg/day, versus placebo on cognition, depression, and pain in elderly patients with recurrent major depressive disorder. METHOD: Patients were randomly assigned (2:1) to duloxetine, 60 mg/day (N=207), or placebo (N=104) for 8 weeks in a double-blind study. The primary outcome measure was a prespecified composite cognitive score composed of four individual tests. Secondary measures included the Geriatric Depression Scale, the Hamilton Depression Rating Scale, the Visual Analogue Scale assessing pain, and standard safety and tolerability assessments. RESULTS: Patients had a median age of 72 years (range=65-90). Duloxetine demonstrated significantly greater improvement in the composite cognitive score versus placebo (least-squares mean change from baseline to endpoint: 1.95 versus 0.76), driven by improved verbal learning and memory. Duloxetine treatment showed significantly greater baseline-to-endpoint reductions in both Hamilton depression scale (-6.49 versus -3.72) and Geriatric Depression Scale (-4.07 versus -1.34) total scores compared with placebo. Hamilton depression scale response (37.3% versus 18.6%) and remission (27.4% versus 14.7%) rates at endpoint were significantly higher for duloxetine than for placebo. Duloxetine significantly improved Visual Analogue Scale scores for back pain and time in pain while awake versus placebo. Significantly fewer patients receiving duloxetine withdrew from the study because of lack of efficacy (2.9% versus 9.6%); the incidences of discontinuation due to adverse events were similar for duloxetine and placebo (9.7% versus 8.7%). CONCLUSIONS: Duloxetine improved cognition, depression, and some pain measures and was safe and well tolerated in elderly patients with recurrent major depressive disorder.
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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) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 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".