Venlafaxine XR demonstrates higher rates of sustained remission compared to fluoxetine, paroxetine or placebo
Bibliographic record
Abstract
The combined serotonin-norepinephrine reuptake inhibitor, venlafaxine XR, has demonstrated significant response and remission in patients diagnosed with depression when measured with the Hamilton Depression Rating Scale (HAM-D). This pooled analysis of data from five studies compared the sustained remission of depressive symptoms in patients treated with venlafaxine XR, the selective serotonin reuptake inhibitors (SSRIs) fluoxetine or paroxetine, or placebo. Data from 1391 subjects enrolled in five active and placebo-controlled studies who met the DSM-III-R or DSM-IV criteria for major depressive disorder were analysed. Three treatment groups were compared: venlafaxine XR (n = 560), fluoxetine/paroxetine (n = 298) and placebo (n = 496). Mean treatment duration was 8 weeks. Responders were defined as those patients whose HAM-D-21 score decreased by > or = 50% from baseline. Remission was defined as a HAM-D-17 score < or = 7. Sustained remission was defined as maintenance of remission through week 8 or the end of treatment (if before week 8) and for > or = 2 weeks. Between-group rate comparisons in outcome measures were carried out using Fisher's exact and log-rank tests. Venlafaxine XR produced significantly higher rates of sustained remission in depressed patients compared to fluoxetine/paroxetine or placebo over this 8-week treatment period. As early as week 2, a significantly greater proportion of patients treated with venlafaxine achieved improved depression scores (remission and response). A significantly greater rate of remission and sustained remission occurred with venlafaxine compared to placebo. Remission was achieved earlier with venlafaxine and lasted throughout the remainder of the study. These results demonstrate that venlafaxine XR is more effective than fluoxetine/paroxetine for sustaining remission of depressive symptoms.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".