Long-Term, Open-Label Venlafaxine Extended-Release Treatment in Children and Adolescents with Major Depressive Disorder
Bibliographic record
Abstract
INTRODUCTION: Because major depressive disorder (MDD) is often chronic and recurrent, even pediatric patients who are treated successfully during an acute episode may need longer-term treatment. Yet, data on long-term treatment with antidepressants in pediatric MDD are limited. OBJECTIVE: To evaluate long-term effectiveness and safety of treatment with venlafaxine extended-release (ER) in children and adolescents with MDD. METHODS: Subjects (n=86) 7-17 years of age with MDD entered a multicenter, open-label study of flexible-dose venlafaxine ER for 6 weeks of acute treatment, followed by continuation treatment for up to 6 months total treatment. The primary efficacy variable was the Children's Depression Rating Scale-Revised (CDRS-R) total score (intent-to-treat population). RESULTS: Mean CDRS-R total score decreased from 60.1+/-10.0 at baseline to 36.3+/-13.1 at week 6, and to 33.8+/-15.0 at 6 months (last observation carried forward). Among completers (n=36), the mean CDRS-R total score was 24.3+/-7.6 at the end of 6 months of treatment. The most frequent treatment-emergent adverse events were headache (53%), nausea (26%), infection (24%), abdominal pain (22%), vomiting (21%), and pharyngitis (19%). Fifteen (17%) participants discontinued due to adverse events, 9 of whom did so within the first 6 weeks. Serious adverse events (suicide attempt [two], hostility [two], hallucinations, depression, and pharyngitis) occurred in seven patients. There were no suicides. CONCLUSION: Most improvement with venlafaxine ER occurs during the first 6 weeks of treatment. Prescribers should be alert to signs of suicidal ideation and hostility in pediatric patients.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.001 | 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".