Ethical issues concerning a pay-to-participate stem cell study
Bibliographic record
Abstract
In our critique of a pay-to-participate study, we address how the failure to disclose study-related payments appears to have violated STEM CELLS Translational Medicine's editorial policies concerning conflict-of-interest and financial disclosure. Our analysis also identifies broader ethical issues and scientific concerns related to pay-to-participate studies conducted by businesses with a record of selling purported stem cell treatments before determining whether the products they sell are safe and efficacious. Authors of peer-reviewed articles have a responsibility to comply with journal policies and disclose financial conflicts of interest to editors, reviewers, and readers. Authors should also disclose when stem cell interventions being tested in clinical trials have already been sold on a direct-to-consumer basis as "stem cell treatments" by authors' affiliate institutions. Financial conflicts of interest and other forms of possible bias must be disclosed to put clinical studies in context and facilitate the critical assessment of research methods, findings, and conclusions. The apparent failure to comply with journal editorial policies and disclose such financial conflicts warrants careful investigation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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".