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Record W2162812126 · doi:10.1136/medethics-2013-101534

Should we perform kidney transplants on foreign nationals?

2013· article· en· W2162812126 on OpenAlexaffabout
Marie‐Chantal Fortin, Bryn Williams–Jones

Bibliographic record

VenueJournal of Medical Ethics · 2013
Typearticle
Languageen
FieldMedicine
TopicOrgan Donation and Transplantation
Canadian institutionsUniversité de MontréalCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsInterimTransplantationOrgan donationMedicineRefugeePolitical scienceHealth carePoliticsCLARITYPublic relationsPublic administrationLawSurgery

Abstract

fetched live from OpenAlex

In Canada, there are currently no guidelines at either the federal or provincial level regarding the provision of kidney transplantation services to foreign nationals (FN). Renal transplant centres have, in the past, agreed to put refugee claimants and other FNs on the renal transplant waiting list, in part, because these patients (refugee claimants) had health insurance through the Interim Federal Health Programme to cover the costs of medication and hospital care. However, severe cuts recently made to this programme have forced clinicians to question whether they should continue with transplants for FNs, for financial and ethical reasons. This paper first examines different national policies (eg, in Canada, USA, France and the UK) to map the diversity of approaches regarding transplantation for FNs, and then works through different considerations commonly used to support or oppose the provision of organs to these patients: (1) the organ shortage; (2) the free-rider problem; (3) the risk of becoming a transplant destination; (4) the impact on organ donation rates; (5) physicians' duties; (6) economic concerns; (7) vulnerability. Using a Canadian case as a focus, and generalising through a review of various national policies, we analyse the arguments for and against transplantation for FNs with a view to bringing clarity to what is a sensitive political and clinical management issue. Our aim is to help transplant centres, clinicians and ethicists reflect on the merits of possible options, and the rationales behind them.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.800
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0080.000

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 head0.092
GPT teacher head0.379
Teacher spread0.286 · 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.

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

Citations20
Published2013
Admission routes2
Has abstractyes

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