Evidence for Shortening the Duration of Clinical Trials of Antidepressants and a Proposed Paradigm for Such Studies
Bibliographic record
Abstract
The model for the clinical trial of putative antidepressants is older than 50 years. Recent failures resulted in several drug companies, citing excessive costs of lengthy multiweek trials, abandoning new drug development. Collateral problems include patients being maintained on ineffective drugs for 6 to 8 weeks, increasing the pain associated with the disorder. This study proposes an alternative model for testing new drugs that both shortens the clinical trial and broadens its aims to include a profile of the new drug's specific clinical actions. This alternative model makes it possible to uncover the drug's application to treatment of other mental disorders. It is based on recent findings that onset of action and a large proportion of an effective drug's positive effects, contrary to early reports, occur within the first 2 weeks. It uses an index of the 2-week "early improvement" to predict a 6-week outcome. Measuring effects on the dimensions of the disorder determined that effective antidepressants act on mood and behavioral components and that the Hamilton and new "multivantaged" methods can provide a profile of specific drug actions distinguished from nonspecific placebo effects, at 2 weeks. This early improvement is predictive of positive outcome of 6-week trials. Because of the implications of successful 2-week trials for reducing costs, providing data on specific clinical drug actions, potentially stimulating new drug development, and reducing patient suffering from extended treatment with ineffective drugs, a large sample, prospective study designed in accord with this test trial is recommended.
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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 | 0.470 | 0.552 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.003 | 0.014 |
| Scholarly communication | 0.007 | 0.023 |
| Open science | 0.006 | 0.007 |
| Research integrity | 0.013 | 0.015 |
| Insufficient payload (model declined to judge) | 0.018 | 0.003 |
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; the direct Gemma label and the distilled Codex classifier 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".