Placebo Effects and Neuromodulation: Ethical Considerations and Recommendations
Bibliographic record
Abstract
Placebo-controlled trials are the gold standard of evaluating treatment efficacy in clinical research. Neuromodulation is emerging as an important treatment pathway for many neuropsychiatric conditions, and placebo control arms of these trials require careful design with unique considerations (e.g., sham devices that mimic active stimulation, blinding effectiveness). Inherent to placebo-controlled trials are ethical concerns, such as deception, and potential harm of not receiving the active treatment. In this article, we outline important ethical considerations of placebo-controlled trials across neuromodulation approaches and provide recommendations on how ethical principles can be adhered to going forward. We specifically address issues of autonomy and respect for persons, beneficence, and justice. Within the context of this ethical framework, we also discuss factors influencing placebo effects in neuromodulation, the importance of adequate blinding, and alternative trial designs that could be considered.
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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 | 0.190 | 0.394 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.006 | 0.006 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.002 | 0.013 |
| Scholarly communication | 0.008 | 0.015 |
| Open science | 0.007 | 0.004 |
| Research integrity | 0.029 | 0.030 |
| Insufficient payload (model declined to judge) | 0.007 | 0.004 |
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 source (direct Gemma or distilled Codex), 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".