Lessons from studies of medication reduction in psychosis: giving participants accurate information about risk in psychiatric research trials
Bibliographic record
Abstract
All research needs ethical regulation, which is institutionalized in research ethics committees. The patient information sheet, approved by a research ethics committee, sets out what patients need to know to make an informed choice about research participation. However, guidance from research ethics committees is much less explicit about risk communication. In this commentary, the balance of risk in the patient information sheets from protocols of 2 randomized controlled trials (RCTs) of medication reduction in psychosis was compared with numbers needed to treat and harm from the literature. The patient information sheet omitted risk of excess death and incomplete recovery following relapse, and overestimated the anticipated benefits. All of these risks were demonstrated in the published results of 1 of the 2 RCTs. Quantifying and tabulating risk might improve patient information sheets.
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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 | 0.559 | 0.829 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.007 | 0.007 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.004 | 0.023 |
| Scholarly communication | 0.015 | 0.030 |
| Open science | 0.010 | 0.011 |
| Research integrity | 0.043 | 0.040 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".