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Record W4387157088 · doi:10.1097/lvt.0000000000000274

Outcomes of re-referrals of patients with alcohol-associated liver disease, who were previously declined for liver transplantation

2023· article· en· W4387157088 on OpenAlexaff
Ben Cox, Lauren Carrique, Tommaso Di Maira, Isabel M. Sales, C Don, Andrés Gómez-Aldana, Dilip Koshy, Susan Abbey, Les Lilly, Cynthia Tsien, Mamatha Bhat, Elmar Jaeckel, Marie-Josée Lynch, Nazia Selzner

Bibliographic record

VenueLiver Transplantation · 2023
Typearticle
Languageen
FieldMedicine
TopicAlcohol Consumption and Health Effects
Canadian institutionsUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMedicineLiver transplantationAbstinenceLiver diseasePsychosocialAlcoholic liver diseaseTransplantationInternal medicineCohortReferralRetrospective cohort studyCirrhosisFamily medicinePsychiatry

Abstract

fetched live from OpenAlex

Since 2018, our program has utilized specific psychosocial criteria and a multidisciplinary approach to assess patients for liver transplant due to alcohol-associated liver disease (ALD), rather than the 6-month abstinence rule alone. If declined based on these criteria, specific recommendations are provided to patients and their providers regarding goals for re-referral to increase the potential for future transplant candidacy. Recommendations include engagement in treatment for alcohol use disorder, serial negative biomarker testing, and maintenance of abstinence from alcohol. In our current study, we evaluate the outcomes of patients with ALD, who were initially declined upon assessment and re-referred to our program. This is a retrospective cohort study that includes 98 patients with ALD, who were previously declined for liver transplantation and were subsequently re-referred for liver transplant assessment between May 1, 2018, and December 31, 2021. We assess the outcomes of patients who were re-referred including acceptance for transplantation following a second assessment. Of the 98 patients who were re-referred, 46 (46.9%) fulfilled the recommendations made and proceeded to further medical evaluation. Nine were eventually transplanted; others are listed and are waiting for transplant. The presence of a partner was independently associated with a higher rate of acceptance (OR 0.16, 95% CI: 0.03-0.97, p = 0.05). Most of the patients who did not proceed further (n = 52) were declined again due to ALD contraindications (n = 33, 63.4%), including ongoing drinking and lack of engagement in recommended addiction treatment. Others had medical contraindications (11.2%), clinically improved (6.1%), had adherence issues (5.1%), or lack of adequate support (2%). Patients with ALD previously declined for a liver transplant can be re-referred and successfully accepted for transplantation by fulfilling the recommendations made by the multidisciplinary team. Important factors including ongoing abstinence, engagement in addiction treatment, and social support are key for successful acceptance.

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)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.077
GPT teacher head0.347
Teacher spread0.270 · 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 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

Citations3
Published2023
Admission routes1
Has abstractyes

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