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BENEFIT OF TRANSPLANTATION IN PRIMARY BILIARY CIRRHOSIS BETWEEN 1985-1997

2002· article· en· W2064816581 on OpenAlexaffabout
Jill Tinmouth, George Tomlinson, E. Jenny Heathcote, Leslie Lilly

Bibliographic record

VenueTransplantation · 2002
Typearticle
Languageen
FieldMedicine
TopicLiver Diseases and Immunity
Canadian institutionsSt. Michael's Hospital
Fundersnot available
KeywordsUrsodeoxycholic acidMedicineTransplantationPrimary biliary cirrhosisLiver transplantationInternal medicineCohortGastroenterologyCirrhosisSurgery

Abstract

fetched live from OpenAlex

BACKGROUND: In the 1980s, primary biliary cirrhosis (PBC) patients were shown to benefit from transplantation when compared to a mathematical model. This study, using the same model, evaluates a cohort of patients who underwent transplantation in the late 1980s and early 1990s before and after the introduction of therapy with ursodeoxycholic acid (UDCA). METHODS: All 73 PBC patients transplanted at the University of Toronto between 1985 and 1997 were included in the study. Actual survival posttransplantation, calculated with the Kaplan-Meier product-limit estimator, was compared to predicted survival without transplantation, as determined by the Mayo model. The effect of UDCA therapy on outcome was studied by dividing the cohort into those transplanted before and after 1992, the year in which UDCA use for PBC was introduced. RESULTS: At 2 years posttransplant, predicted survival without transplant was 55% whereas actual survival was 79%. At 7 years posttransplant, these figures were 22% and 68%, respectively (P=3 x 10(-8)). There was a nonsignificant trend towards improved survival in those transplanted during the UDCA era compared to those transplanted in the pre-UDCA era. CONCLUSIONS: Liver transplantation remains extremely beneficial for patients with end-stage PBC. There was no difference in outcome after liver transplantation in those transplanted during the UDCA era when compared to their pre-UDCA counterparts.

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 score0.034
Threshold uncertainty score0.463

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 head0.025
GPT teacher head0.242
Teacher spread0.218 · 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

Citations31
Published2002
Admission routes2
Has abstractyes

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