Comparative Efficacy and Tolerability of Adjunctive Pharmacotherapies for Acute Bipolar Depression: A Systematic Review and Network Meta-analysis
Bibliographic record
Abstract
OBJECTIVE: We investigated the comparative efficacy and tolerability of augmentation strategies for bipolar depression. DATA SOURCES: We conducted a systematic review and network meta-analysis of 8 electronic databases for double-blind, randomized controlled trials of adjunctive pharmacotherapies for acute bipolar depression. DATA EXTRACTION AND SYNTHESIS: We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines and applied the Cochrane risk of bias tool for study quality appraisal. Two reviewers independently abstracted data. We resolved all discrepancies by consensus. MAIN OUTCOMES AND MEASURES: Primary outcomes were response and completion of treatment. We estimated summary rate ratios (RRs) and standardized mean differences (SMDs) relative to placebo controls using frequentist random-effects network meta-analysis. RESULTS: We identified 69 trials meeting eligibility criteria (8,007 participants, 42.8 years, 58.0% female). Adjunctive racemic intravenous ketamine, coenzyme Q10, pramipexole, fluoxetine, and lamotrigine were more effective than placebo. Summary RRs for response ranged between 1.51 (95% confidence interval [CI], 1.11 to 2.06) for fluoxetine and 12.49 (95% CI, 3.06 to 50.93) for racemic intravenous ketamine. For completion of treatment, risperidone appeared less tolerable than placebo (RR = 0.59; 95% CI, 0.38 to 0.94), while fluoxetine seemed more tolerable than placebo (RR = 1.13; 95% CI, 1.02 to 1.24). None of the investigated agents were associated with increased treatment-emergent mood switches. CONCLUSIONS AND RELEVANCE: The evidence for augmentation strategies in bipolar depression is limited to a handful of agents. Fluoxetine appeared to have the most consistent evidence base for both efficacy and tolerability. There remains a need for additional research exploring novel treatment strategies for bipolar depression, particularly head-to-head studies.
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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 | 0.037 | 0.078 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.021 | 0.042 |
| Bibliometrics | 0.009 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".