An integrated analysis of the efficacy and safety of desvenlafaxine in the treatment of major depressive disorder
Bibliographic record
Abstract
The chronic course of major depressive disorder (MDD) often impedes the ability of patients to achieve full remission. Return of full functioning is a critical goal of antidepressant pharmacotherapy as the presence of residual depressive symptoms is associated with an increased risk of relapse. Treatment guidelines recommend selective serotonin reuptake inhibitors, serotonin-norepinephrine reuptake inhibitors, or atypical antidepressants as first-line treatment for moderate to severe MDD. Desvenlafaxine, administered as desvenlafaxine succinate, is an serotonin-norepinephrine reuptake inhibitor approved for the treatment of adults with MDD at the recommended dose of 50 mg/day. The aim of this integrated analysis was to assess the efficacy and safety of desvenlafaxine 50 and 100 mg/day compared with placebo in adult outpatients with MDD. The analysis used data from nine fixed-dose, short-term, placebo-controlled studies in adult outpatients diagnosed with MDD who had depressive symptoms for at least 30 days. Data from 4279 and 4317 patients were pooled for the efficacy and safety analyses, respectively. Statistically significant improvements were observed with desvenlafaxine 50 and 100 mg/day versus placebo for all efficacy endpoints assessed, including improvements in depressive symptoms, response and remission rates, as well as functional and cognitive outcomes. Treatment with desvenlafaxine 50 and 100 mg/day was generally safe and well tolerated. The findings of this integrated analysis of data from a large population of patients with MDD confirmed the antidepressant efficacy of both desvenlafaxine doses and add to previous evidence supporting the efficacy of desvenlafaxine.
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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) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".