A Post Hoc Analysis of the Effect of Weight on Efficacy in Depressed Patients Treated With Desvenlafaxine 50 mg/d and 100 mg/d
Bibliographic record
Abstract
OBJECTIVE: To assess the effect of baseline body mass index (BMI) on efficacy and weight change in adults with major depressive disorder (MDD) treated with desvenlafaxine or placebo in a pooled, post hoc analysis. METHOD: Adults with MDD were randomly assigned to placebo or desvenlafaxine (50 mg or 100 mg) in 8 short-term, double-blind studies and 1 longer-term randomized withdrawal study (the studies were published between 2007 and 2013). Change from baseline in 17-item Hamilton Depression Rating Scale (HDRS-17) total score at week 8 was analyzed in normal (BMI ≤ 25 kg/m(2)), overweight (25 kg/m(2) < BMI ≤ 30 kg/m(2)), and obese (BMI > 30 kg/m(2)) subgroups using analysis of covariance (ANCOVA). Weight change was analyzed in BMI subgroups using ANCOVA and a mixed-effects model for repeated measures. RESULTS: Desvenlafaxine 50 mg/d or 100 mg/d improved HDRS-17 scores significantly from baseline to week 8 (last observation carried forward) versus placebo in all BMI subgroups (normal: n = 1,122; overweight: n = 960; obese: n = 1,302; all P ≤ .0027); improvement was greatest in normal BMI patients. There was a statistically significant decrease in weight (< 1 kg) with short-term desvenlafaxine 50 mg/d and 100 mg/d versus placebo in all BMI subgroups (all P < .0001). In the randomized withdrawal study (n = 548), no statistically significant difference in weight was observed for desvenlafaxine versus placebo in any BMI subgroup. Baseline BMI predicted weight change in short-term and longer-term desvenlafaxine treatment. CONCLUSIONS: Desvenlafaxine significantly improved symptoms of depression versus placebo regardless of baseline BMI. In all BMI subgroups, desvenlafaxine was associated with statistically significant weight loss (< 1 kg) versus placebo over 8 weeks, but no significant differences longer term. TRIAL REGISTRATION: ClinicalTrials.gov identifiers: NCT00072774, NCT00277823, NCT00300378, NCT00384033, NCT00798707, NCT00863798, NCT01121484, NCT00824291, NCT00887224.
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.006 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".