Assessing the Efficacy of Desvenlafaxine for Improving Functioning and Well-Being Outcome Measures in Patients With Major Depressive Disorder
Bibliographic record
Abstract
OBJECTIVE: To evaluate the effects of desvenlafaxine therapy on functioning and well-being in major depressive disorder (MDD). METHOD: Total and individual item Sheehan Disability Scale (SDS) and 5-item World Health Organization Well-Being Index (WHO-5) scores from 8 double-blind, placebo-controlled, 8-week desvenlafaxine clinical trials were pooled. Scores on the 17-item Hamilton Depression Rating Scale (HDRS(17)) work/activities and Montgomery-Asberg Depression Rating Scale (MADRS) lassitude items were pooled from 9 studies. Outpatients with DSM-IV MDD were randomly assigned to fixed (5 studies; 50, 100, 200, or 400 mg/d; n = 1,342) or flexible (4 studies, 100-400 mg/d; n = 463) doses of desvenlafaxine or placebo (n = 1,108). Data from each patient's final evaluation were analyzed for the total population and for individual dose groups from the fixed-dose studies and were compared between groups using analysis of covariance. RESULTS: Compared with placebo, desvenlafaxine therapy resulted in significantly greater improvements in SDS total score (-2.0) and individual items regarding work (-0.6), social life/leisure activities (-0.8), and family life/home responsibilities (-0.7; P < .001 for all comparisons), as well as WHO-5 total score (1.7) and individual items (good spirits [0.4], calm/relaxed [0.4], active/vigorous [0.3], fresh/rested [0.3], and interest [0.3]; P < .001 for all comparisons). Desvenlafaxine treatment resulted in significant improvements on the HDRS(17) work/activities (-0.2; P < .001) and MADRS lassitude (-0.3; P < .001) items compared with placebo. Significant differences were observed for the individual fixed-dose groups on all outcomes (P < .05); there was no evidence of a dose-response relationship. CONCLUSIONS: Desvenlafaxine therapy resulted in significant improvements in the functioning and well-being among MDD patients.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".