Efficacy of Desvenlafaxine Compared With Placebo in Major Depressive Disorder Patients by Age Group and Severity of Depression at Baseline
Bibliographic record
Abstract
PURPOSE: This post hoc meta-analysis evaluated the efficacy and safety of desvenlafaxine 50 and 100 mg versus placebo across age groups and severity of depression at baseline in patients with major depressive disorder. METHODS: Data from placebo and desvenlafaxine 50-mg and 100-mg dose arms were pooled from 9 short-term, placebo-controlled, major depressive disorder studies (N = 4279). Effects of age (18-40 years, >40 to <55 years, 55-<65 years, and ≥65 years) and baseline depression severity (mild, 17-item Hamilton Rating Scale for Depression total score [HAM-D17] ≤18; moderate, HAM-D17 >18 to <25; severe, HAM-D17 ≥25) on desvenlafaxine efficacy were assessed using analysis of covariance for continuous end points and logistic regression for categorical end points. FINDINGS: Desvenlafaxine-treated (50 or 100 mg/d) patients had significantly (P < 0.05, 2-sided) greater improvement in most measures of depression and function compared with placebo for patients 18 to 40 years, older than 40 to younger than 55 years, and 55 to younger than 65 years, with no significant evidence of an effect of age. Desvenlafaxine significantly improved most measures of depression and function in moderately and severely depressed patients. There was a significant baseline severity by treatment interaction for HAM-D17 total score only (P = 0.027), with a larger treatment effect for the severely depressed group. IMPLICATIONS: Desvenlafaxine significantly improved depressive symptoms in patients younger than 65 years and in patients with moderate or severe baseline depression. Sample sizes were not adequate to assess desvenlafaxine efficacy in patients 65 years or older or with mild baseline depression.
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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 | 0.007 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.018 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".