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Record W4238442974 · doi:10.1097/tp.0000000000003185

Author’s Response

2020· letter· en· W4238442974 on OpenAlexaboutno aff
Francis L. Delmonico, Beatriz Domínguez‐Gil, Nancy L. Ascher, Alexandra K. Glazier, Galen V. Henderson, James L. Bernat

Bibliographic record

VenueTransplantation · 2020
Typeletter
Languageen
FieldMedicine
TopicOrgan Donation and Transplantation
Canadian institutionsnot available
Fundersnot available
KeywordsOrgan donationDonationStandardizationMedicineOrgan transplantationTransplantationFamily medicineLawSurgeryPolitical science

Abstract

fetched live from OpenAlex

We appreciate the commending remarks by Weiss and Chaudhary on the algorithm showing the process of donation following the determination of death by neurological and circulatory criteria via clinical conditions of a pathway of end-of-life care: the transition from death to organ recovery and transplantation. The clinical conditions detailed in the algorithm did not include voluntary euthanasia as a pathway to organ donation. Although Weiss and Chaudhary noted that this approach has been undertaken in Quebec, Canada, the Netherlands, and Belgium, the legal permissibility, ethical acceptance, and international experience of voluntary euthanasia followed by organ recovery has not reached a sufficient threshold to become a standard practice—and thus, not included in the algorithm. THE LEGAL BARRIERS THAT PRECLUDE INTERNATIONAL STANDARDIZATION Voluntary euthanasia including euthanasia followed by organ donation remains illegal in the majority of European countries and in the United States (where some states do permit medically assisted suicide). In contrast, withdrawal of life-sustaining treatment under the circumstances of controlled donation after circulatory death is legally permissible and widely accepted internationally. This distinction regarding legal permissibility is the primary reason for omission of voluntary euthanasia and organ recovery into the algorithm. THE LACK OF INTERNATIONAL EXPERIENCE TO STANDARDIZE A SUCCESSFUL PRACTICE OF ORGAN TRANSPLANTATION AFTER EUTHANASIA There is insufficient data and experience to recognize a standard protocol for euthanasia followed by organ donation. The 2019 reference cited by Weiss and Chaudhary identifies the issue of insufficient data to develop further standardization in practice: “…although some authors have suggested that organ donation after medical assistance in dying might have a substantial impact on organ availability, the practice of organ donation after medical assistance in dying in Canada is still rare. More data about this practice must be collected to determine whether this guidance document is helpful or needs to be updated.”1 Without a recognized standard protocol with understood outcomes, the pathway of organ donation following euthanasia is not sufficiently developed to include into the algorithm. THE ETHICAL CONTROVERSY REGARDING EUTHANASIA COULD UNDERMINE PUBLIC TRUST IN THE SYSTEM OF DONATION Significant controversy remains regarding the ethical propriety of sanctioning voluntary euthanasia as a standardized practice. Until such ethical concerns regarding euthanasia are adequately addressed, introduction of a pathway to organ recovery following euthanasia may serve to amplify these ethical issues and erode the public trust in donation. Specifically, the public trust that the donation of organs remains independent of a decision to facilitate ending a patient’s life. Introducing these concepts together in the midst of unresolved significant ethical controversy over euthanasia might undermine public trust in donation. Given these legal, ethical, and experiential limitations, we conclude that the threshold for considering voluntary euthanasia to organ recovery as an international standard has not been sufficiently achieved and therefore it is appropriately excluded in an algorithm designed to derive consensus regarding recognized standard donation practices.

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)0.008
metaresearch head score (Gemma)0.107
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.857
Threshold uncertainty score0.477

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.107
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0050.005
Open science0.0040.005
Research integrity0.0200.023
Insufficient payload (model declined to judge)0.1430.068

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 head0.038
GPT teacher head0.300
Teacher spread0.263 · 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.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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