Ethical Aspects of Living Donor Kidney Transplantation and Recipient Adherence to Treatment
Bibliographic record
Abstract
Living donor kidney transplantation comprises approximately 30% of kidney transplantations in the United States and is an effective form of renal replacement therapy, with low risk to the donor. Twenty percent of living donors do not have a genetic relationship with their recipients. In the selection of living donors, guiding ethical principles include altruism, the absence of coercion or monetary reward, patient autonomy, beneficence, and nonmaleficence. In order for the benefit of living donor kidney transplantation to outweigh the risk, evidence that the proposed recipient will care for the transplanted organ must exist. Nonadherence to treatment has been identified as a major risk factor for graft rejection. When nonadherence to treatment regimens leads to loss of the graft, the consequences are felt by the recipient, donor, and the treatment team. The decision to transplant an organ to a noncompliant patient from a cadaveric or a living donor raises issues of patient autonomy, justice, paternalism, and benevolence versus nonmaleficence.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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; 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".