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In Response to: Testa et al. –Elective Surgical Patients as Living Organ Donors: A Clinical and Ethical Innovation–

2009· letter· en· W1519168854 on OpenAlexaff
Elisa J. Gordon, Joel Frader, Aviva Goldberg, D. Penrod, Gwen McNatt, John Franklin

Bibliographic record

VenueAmerican Journal of Transplantation · 2009
Typeletter
Languageen
FieldMedicine
TopicOrgan Donation and Transplantation
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsMedicineNephrectomyHarmNeutralityDonationSurgeryGeneral surgeryIntensive care medicineSocial psychologyLawKidneyPsychologyInternal medicine

Abstract

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The proposal by Testa et al. to increase living kidney donations from elective surgical patients is intriguing. Other transplant surgery innovations have initially met with criticism but eventually become standard practice and Testa's proposal may do likewise. However, the idea raises important ethical issues. A justification for previous innovations in donor transplant surgery, such as laparoscopic nephrectomy, was reduced donor morbidity while possibly increasing donations. The justification for the proposed innovation is increasing the organ supply while reducing the number of surgeries to achieve this aim; yet it does not help the donor. It is unclear whether these benefits outweigh the violation of the ‘no harm’ principle. Cholecystectomy donors may have greater morbidity due to the bigger dissection for the nephrectomy, including surgical complications and will lack some of the benefits experienced by emotionally related donors. Although donor advocates ‘independent from the transplant team’ would contact the patient, their neutrality remains questionable given affiliation with and dependence on the institution's transplant enterprise. Prior experience has demonstrated that ‘neutral’ representatives often positively identify with the mission, rather than maintain skeptical independence. The authors posit that coercion would be no more than that experienced by other living donors; the opposite may apply. By virtue of being sick, vulnerable cholecystectomy patients may experience more pressure to accept the ‘invitation’ than healthy donors. Testa et al. did not consider unintended consequences. For example, patients electing to donate would require rapid donor evaluations so as not to delay cholescystectomy and to ensure donor safety. Given limited resources, this might slow the evaluation of other potential living donors, increasing waiting time for some recipients. The proposal may exacerbate distrust in the healthcare system and transplantation. Patients may fear clinicians will simply take their organs while anesthetized for unrelated surgery. The request to donate may create emotional distress by generating guilt. Given the power imbalance between patients and clinicians, patients may perceive the request as an expectation and may feel pressured into consenting. As most cholecystectomy patients are female, women will be asked to donate more often than men, raising questions about unequal burdens on women (1). What insurers for both donors and recipients will or will not accept may have profound implications on program participation. Will patients without insurance be asked to donate, with the hospital covering the costs of the cholecystectomy? Would such an invitation amount to a financial incentive to donate and thus violate federal law? This might exploit those without insurance. Alternatively, excluding financial incentives could unfairly prevent those without insurance from donating. Although Testa et al. noted their intent to investigate the feasibility of their proposal, they need clear outcome measures, such as the level of interest in donation among cholescystectomy patients and the costs and benefits of extra operating room time and hospital lengths of stay for the patients. We aim to further debate on this issue, not prematurely condemn what may become acceptable and feasible. As with any innovation, we urge caution to protect the public trust and avoid unintended and potentially irreversible complications. E. J. Gordon, J. Frader, A. M. Goldberg, D. Penrod, G. McNatt and J. Franklin have no conflicts or funding.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.069
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.024
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0040.004
Open science0.0020.002
Research integrity0.0690.050
Insufficient payload (model declined to judge)0.0080.007

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.

Opus teacher head0.014
GPT teacher head0.352
Teacher spread0.338 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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".

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Citations3
Published2009
Admission routes1
Has abstractno

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