MétaCan
Menu
Back to cohort
Record W4414963735 · doi:10.1136/gutjnl-2025-basl.42

P26 Elafibranor improves fatigue versus placebo in patients with primary biliary cholangitis (PBC), with limited correlation with pruritus: analyses from the phase III ELATIVE trial

2025· article· en· W4414963735 on OpenAlexaff
D. I. Jones, Marco Carbone, Andreas E. Kremer, Cynthia Levy, Marlyn J. Mayo, Jörn M. Schattenberg, Nuno Antunes, Darren L. Asquith, Hugo Gomes da Silva, Mickael Löthgren, Marwan Sleiman, Nathan Touati, Lesley Tranter, Mark G. Swain

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicLiver Diseases and Immunity
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPlaceboClinical trialSeverity of illnessCorrelationRandomized controlled trial

Abstract

fetched live from OpenAlex

Fatigue and pruritus are common symptoms in PBC. In the phase III ELATIVE® trial (NCT04526665), elafibranor significantly improved biomarkers of cholestasis in PBC. Here, we report the impact of elafibranor vs placebo on fatigue, and the association between fatigue and pruritus. Patients with PBC were randomized 2:1 to elafibranor 80 mg (n=108) or placebo (n=53). Fatigue was assessed via the Patient-Reported Outcome Measurement Information System Fatigue Short Form 7a (PFSF 7a) and PBC-40 Fatigue domain. Data are reported for patients with moderate-to-severe fatigue at baseline (PFSF 7a score ≥60; PBC-40 Fatigue domain score ≥29). Changes to Week 52 were summarized as categorical changes, percentage changes, and minimal clinically important differences (MCIDs; PFSF 7a: ≥3; PBC-40 Fatigue domain: ≥5). Spearman’s correlation coefficients were calculated between fatigue (PFSF 7a and PBC-40 Fatigue domain) and pruritus (5-D Itch and PBC-40 Itch domain) patient-reported outcomes (PROs) for scores at baseline and change from baseline to Week 52. Patients with missing data at baseline and/or Week 52 were excluded. For PFSF 7a, 42/95 (44.2%) patients receiving elafibranor and 16/46 (34.8%) receiving placebo had moderate-to-severe fatigue at baseline. By Week 52, 18/42 (42.9%) patients receiving elafibranor vs 5/16 (31.3%) receiving placebo improved to mild/normal fatigue. Mean (95% CI) percentage change in PFSF 7a score was greater with elafibranor (−9.5% [−12.9%, −6.2%]) vs placebo (−4.2% [−9.6%, 1.2%]). Patients with an improvement ≥MCID at Week 52: elafibranor, n=28/42 (66.7%); placebo, n=5/16 (31.3%). For the PBC-40 Fatigue domain, 53/95 (55.8%) patients receiving elafibranor and 26/46 (56.5%) receiving placebo had moderate-to-severe fatigue at baseline. By Week 52, 12/53 (22.6%) patients receiving elafibranor vs 4/26 (15.4%) receiving placebo improved to mild/no fatigue. Mean (95% CI) percentage change in PBC-40 Fatigue domain score was greater with elafibranor (−9.8% [−15.4%, −4.1%]) vs placebo (−5.8% [−12.0%, 0.4%]). Patients with an improvement ≥MCID at Week 52: elafibranor, n=21/53 (39.6%); placebo, n=7/26 (26.9%). At baseline, fatigue and pruritus PRO scores had a weak correlation (r=0.25–0.35), suggesting pruritus was not a main driver of fatigue. Similarly, changes in fatigue and pruritus PROs from baseline to Week 52 did not demonstrate a strong correlation (r=0.26–0.33), and they could improve independently of one another. Elafibranor resulted in clinically meaningful improvements in fatigue, with greater improvements vs placebo. A weak correlation between fatigue and pruritus PROs at baseline, and in improvements over time, suggests that elafibranor can improve these debilitating PBC symptoms independently of each other.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.028
GPT teacher head0.306
Teacher spread0.278 · 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 designRandomized trial
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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same topicLiver Diseases and ImmunityFrench-language works237,207