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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".