AUGMENTATION STRATEGIES FOR TREATMENT-RESISTANT ANXIETY DISORDERS: A SYSTEMATIC REVIEW AND META-ANALYSIS
Bibliographic record
Abstract
BACKGROUND: A systematic review and meta-analysis was conducted to explore the efficacy of medication augmentation strategies compared to control treatments in patients who have had a partial or no response to initial treatment for generalized anxiety disorder, social anxiety disorder, and panic disorder. METHODS: Double-blind controlled trials of medication augmentation in adult treatment-resistant anxiety disorders conducted between January 1990 and January 2015 were systematically reviewed and evaluated by two independent raters. The search identified 625 articles; 610 were excluded following abstract review and 15 had full-text screening. Studies had to include a definition of treatment resistance, exclude concomitant medications, and have a parallel or crossover design. Data extraction forms were completed in duplicate. RESULTS: Six studies were included in the meta-analysis. Effect estimates were calculated using random effects modeling; heterogeneity was assessed and subgroup and sensitivity analyses were completed. Primary outcome was response, defined by Clinical Global Impression-Improvement score of ≤2. Augmentation was not associated with an increased risk of response, as compared with placebo (RR = 1.08, 95% CI = 0.94-1.24). A small significant effect was found in reduction in symptom severity: standard mean difference = -0.32, 95% CI = -0.56 to -0.08. No significant differences between augmentation with medication versus placebo were found in ratings of functional impairment and dropouts due to adverse events. CONCLUSIONS: Augmentation does not appear to be beneficial in treatment-resistant anxiety disorders. These results may be limited by small study samples, and a small number of overall studies in the analysis.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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; both teacher heads agree on what is shown here.
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".