Comparison of Meta-Analytic Results of Indirect, Direct, and Combined Comparisons of Drugs for Chronic Insomnia in Adults: A Case Study
Bibliographic record
Abstract
BACKGROUND: Our Center recently conducted a systematic review of the manifestations and management of chronic insomnia in adults. The efficacy and safety of benzodiazepines and nonbenzodiazepines, relative to placebo, were compared indirectly. OBJECTIVES: Determine how the results of indirect comparisons made in the review compare with the results of direct comparisons, as well as with estimates derived from Bayesian mixed treatment comparisons. Establish general appropriateness of the use of results of indirect or mixed treatment comparisons. METHODS: Treatments were compared using frequentist direct, indirect, and combined methods, as well as Bayesian direct and mixed methods. RESULTS: Estimates for comparisons tended to be clinically and statistically similar across methods. Estimates obtained through indirect comparisons were not biased and were similar to those obtained through direct analysis. CONCLUSIONS: Results of indirect comparisons made in the review, accurately reflected the current evidence. Frequentist and Bayesian methods of analysis of indirect comparisons should be considered when performing meta-analyses.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".