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Adult liver transplant survey: policies towards eligibility criteria in Canada and the United States 2007

2008· article· en· W1602506128 on OpenAlexaffabout
Karen I. Kroeker, Vincent G. Bain, Thomas Shaw‐Stiffel, Tse–Ling Fong, Eric M. Yoshida

Bibliographic record

VenueLiver International · 2008
Typearticle
Languageen
FieldMedicine
TopicOrgan Transplantation Techniques and Outcomes
Canadian institutionsUniversity of British ColumbiaUniversity of OttawaUniversity of Alberta
Fundersnot available
KeywordsMedicineAbstinenceLiver transplantationLiver diseaseTransplantationFamily medicineIntensive care medicinePsychiatrySurgeryInternal medicine

Abstract

fetched live from OpenAlex

GOALS: To assess the current practice patterns of liver transplant centres in Canada and the USA regarding transplant eligibility. BACKGROUND: Liver transplantation is an evolving field and today remains the only life-sustaining treatment for end-stage liver disease. Issues of allocation and transplant eligibility are important factors in the ethical practice of medicine. STUDY: Questionnaires were mailed to liver transplant programme directors in Canada and the USA inquiring about current practices regarding recipient eligibility. RESULTS: This study demonstrates that there is consensus in the use of other eligibility criteria, including non-compliance, social status, abstinence from alcohol and methadone and cocaine use. Interestingly, literature is lacking to support the use of these parameters as eligibility criteria with the exception of alcohol. There is a lack in consensus regarding marijuana use, human immunodeficiency virus status, ability to accept blood transfusions and prisoner status. The literature suggests that liver transplantation in select patients who refuse blood transfusions results in good outcomes. CONCLUSIONS: Important decisions regarding transplant eligibility still have to be made empirically in the absence of scientific literature about various social issues. While consensus among transplant programmes is useful, it is important that we continue to use the evidence in the literature to revise these eligibility criteria, keeping in mind ethical principles applied to the access and allocation of a scarce resource.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.144
Threshold uncertainty score0.459

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.024
GPT teacher head0.300
Teacher spread0.276 · 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 designObservational
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

Citations29
Published2008
Admission routes2
Has abstractyes

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