MétaCan
Menu
Back to cohort
Record W6986126842

Organ donation after euthanasia in the Netherlands

2022· article· en· W6986126842 on OpenAlexaboutno aff

Bibliographic record

VenueResearch Publications (Maastricht University) · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCell Image Analysis Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsOrgan donationDonationIntensive careTissue DonationEthical issuesOrgan transplantation
DOInot available

Abstract

fetched live from OpenAlex

Organ donation after euthanasia is performed in the Netherlands, Belgium, Spain and Canada. In these countries, altruistic patients, who often suffer from a neurodegenerative or psychiatric disease, are able to donate their lungs, liver, kidneys and pancreas. In the Netherlands, they even have the possibility to donate their heart. Research demonstrates that about 10% of all patients who undergo euthanasia might be medically eligible for organ donation. Preliminary short-term outcomes of transplants from these donors demonstrate good results. Intensive care physicians and nurses play an important supportive role in this combined procedure because of their expertise in end-of-life care and organ donation, and because these procedures are often performed in the intensive care unit. This article provides a practical summary of the various steps that need to be fulfilled to facilitate organ donation after a euthanasia procedure. Furthermore, it elaborates on the medical, legal and ethical aspects of organ donation after euthanasia, and identifies the possible advantages and challenges of this meaningful procedure.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.384
Threshold uncertainty score0.260

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.037
GPT teacher head0.318
Teacher spread0.281 · 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 teacher head, not a consensus.

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

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

Citations3
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueResearch Publications (Maastricht University)Same topicCell Image Analysis TechniquesFrench-language works237,207