Research Consent Models Used in Prospective Studies of Neurologically Deceased Organ Donors: A Systematic Review
Bibliographic record
Abstract
Research to inform the care of neurologically deceased organ donors is complicated by a lack of standards for research consent. In this systematic review, we aim to describe current practices of soliciting consent for participation in prospective studies of neurologically deceased donors, including the frequency and justification for these various models of consent. Among the 74 studies included, 14 did not report on any regulatory review, and 13 did not report on the study consent procedures. Of the remaining 47 studies, 24 utilized a waiver of research consent. The most common justification for a waiver of research consent related to the fact that neurologically deceased donors are not considered human subjects. In conclusion, among studies of neurologically deceased donors, research consent models vary and are inconsistently reported. Consensus and standardization in the application of research consent models will help to advance this emerging field of research.
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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 | 0.100 | 0.140 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 0.001 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.032 |
| 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; both teacher heads 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".