Predictors of functional response and remission with desvenlafaxine 50 mg/d in patients with major depressive disorder
Bibliographic record
Abstract
BACKGROUND: The predictive value of early functional improvement for treatment success at week 8 was assessed in a pooled analysis in patients with major depressive disorder (MDD). METHODS: Data were pooled from 7 double-blind studies in adult patients with MDD randomly assigned to desvenlafaxine 50 mg/d or placebo. Four levels of treatment success were determined at week 8 for patients with baseline Sheehan Disability Scale (SDS) score > 12 (N = 2156): functional response (SDS ≤12 and ≥50% improvement in SDS), functional/depression response (SDS ≤12 and ≥50% improvement in both SDS and 17-item Hamilton Rating Scale for Depression [HAM-D17] score), functional remission (SDS < 7), and functional/depression remission (SDS < 7 and HAM-D17 ≤7). Week 2 improvement in SDS was evaluated as a predictor of later functional response/remission using receiver operating characteristic analysis. Odds ratios (ORs) of the predictability of improvement thresholds were computed from a logistic regression model. RESULTS: The proportion of patients achieving each level of treatment success was significantly greater for patients treated with desvenlafaxine (40%, 32%, 23%, 15%, respectively) vs placebo (31%, 22%, 17%, 10%; all P ≤ 0.002). Early change in SDS was a highly significant predictor of functional response/remission (ORs, 0.958-0.970; all P < 0.0001). Discussion Patients' early functional response to desvenlafaxine 50 mg/d is predictive of treatment success.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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".