Influence of covariates on heterogeneity in Hamilton Anxiety Scale ratings in placebo-controlled trials of benzodiazepines in generalized anxiety disorder: Systematic review and meta-analysis
Bibliographic record
Abstract
BACKGROUND: Generalized anxiety disorder is a common psychiatric condition that is associated with decreased quality of life and significant disability. Benzodiazepines are anti-anxiety drugs used widely in the treatment of generalized anxiety disorder. This study examines the influence of several variables on benzodiazepine efficacy in generalized anxiety disorder. METHOD: We performed a systematic review of placebo-controlled randomized controlled trials with benzodiazepines in generalized anxiety disorder. Fifty-eight studies were deemed eligible to include in the meta-analysis. The studies dated from 1977 to 2013 and included over 5400 participants. From each paper, we extracted: benzodiazepine name and dose, dosing regimen, baseline Hamilton Anxiety Scale (HAM-A) score, change in HAM-A score at study endpoint, drop-out rate, year of study publication, diagnostic criteria used, study size, study duration, location, any conflicts of interest and side-effect profile. We then assessed the influence, direct and indirect, of individual variables on the primary outcome (mean difference at endpoint, HAM-A score). RESULTS: Three factors were shown to be associated statistically with change in HAM-A; baseline HAM-A for benzodiazepine arm, baseline HAM-A for the placebo arm, and duration of the study. A higher baseline HAM-A in both arms was associated with a greater mean difference in HAM-A. A shorter study length was also associated with a greater mean difference. DISCUSSION: The major factors determining benzodiazepine response was baseline anxiety level for the benzodiazepine arm and study duration. In any design of further meta-analyses and clinical trials for generalized anxiety disorder we suggest that these should be considered these as confounding factors.
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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 | 0.016 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.033 | 0.005 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 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".