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Record W4414963634 · doi:10.1136/gutjnl-2025-basl.52

P36 Non-invasive tests for liver fibrosis are stable in patients with primary biliary cholangitis (PBC) with two years of treatment with elafibranor

2025· article· en· W4414963634 on OpenAlexaff
Marlyn J. Mayo, Cynthia Levy, Mark G. Swain, Jörn M. Schattenberg, Michael A. Heneghan, Christophe Corpechot, Christopher L. Bowlus, Nuno Antunes, Valeria Cranham, Hugo Gomes da Silva, Claire Raskino, Amandeep Phagura, Kris V. Kowdley

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicLiver Diseases and Immunity
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsAlanine transaminaseLiver fibrosisBilirubinLiver diseaseFibrosisAspartate transaminaseAlanine aminotransferase

Abstract

fetched live from OpenAlex

Here, we assess the effect of elafibranor on non-invasive tests (NITs) for fibrosis (liver stiffness measurements [LSM] and Enhanced Liver Fibrosis [ELF]) and biochemical markers in patients with PBC in ELATIVE® (NCT04526665) to Week 104; NITs are also stratified by disease stage. Proportions of patients with LSM >8 kPa and >10 kPa and changes ≥0.5 kPa, and ELF ≥7.7 and ≥9.8 and changes ≥0.19, were assessed at visits to Week 104. Changes were assessed in early- and advanced-stage disease; advanced disease defined as baseline LSM >10 kPa and/or advanced fibrosis/cirrhosis on histology. Changes from baseline (CfB) to Week 104 were assessed for alkaline phosphatase (ALP), total bilirubin (TB), albumin (ALB), alanine aminotransferase (ALT), aspartate transaminase (AST) and gamma-glutamyl transferase (GGT). At data cutoff, 48 patients receiving elafibranor had LSM and 41 had ELF from baseline to Week 104. LSM increased and decreased by ≥0.5 kPa in similar proportions of patients across study visits to Week 104 (36.2–40.0% and 42.6–47.9%). A consistent proportion of patients had LSM >8 kPa and >10 kPa from baseline (54.2% and 33.3%) to Week 104 (50.0% and 29.2%). Of 16 patients with LSM >10 kPa at baseline, 6 (37.5%) had LSM ≤10 kPa at Week 104; of 32 with LSM ≤10 kPa at baseline, 4 (12.5%) had LSM >10 kPa at Week 104. ELF increased and decreased by ≥0.19 in similar proportions of patients across visits to Week 104 (24.4–41.5% and 32.5–41.5%). All patients had ELF ≥7.7 at every visit. Comparable proportions of patients had ELF ≥9.8 at baseline and Week 104 (48.8% vs 39.0%). At Week 104, in patients with early-stage disease, LSM increased and decreased by ≥0.5 kPa in 35.5% and 45.2%, and ELF increased and decreased by ≥0.19 in 44.4% and 37.0%. In patients with advanced-stage disease, LSM increased and decreased by ≥0.5 kPa in 47.1% and 52.9%, and ELF increased and decreased by ≥0.19 in 35.7% and 50.0% of patients. Mean CfB at Week 104 in ALP and GGT was −124.0 U/L and −25.1 U/L in patients with LSM data, and −116.9 U/L and −22.8 U/L in patients with ELF data. TB, ALT, AST and ALB were relatively stable in both subsets. Elafibranor was well-tolerated in this subset to Week 104. With two years of elafibranor treatment, predictors of liver fibrosis and key biochemical markers remain stable in patients with PBC, including those with advanced stage disease.

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)0.001
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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.008
GPT teacher head0.226
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 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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