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Record W4414039785 · doi:10.1055/s-0045-1810647

Long-term efficacy and safety of open-label seladelpar treatment in patients with primary biliary cholangitis: pooled interim results for up to 3 years from the ASSURE study

2025· article· en· W4414039785 on OpenAlexaff
E.J. Lawitz, P.J. Trivedi, Kris V. Kowdley, Stuart C. Gordon, Christopher L. Bowlus, Maria Carlota Londoño Hurtado, Gideon M. Hirschfield, Aliya Gulamhusein, Münevver Demir, Daria B. Crittenden, Shuyu Zhuo, Carrie Heusner, Cynthia Levy

Bibliographic record

VenueZeitschrift für Gastroenterologie · 2025
Typearticle
Languageen
FieldMedicine
TopicGallbladder and Bile Duct Disorders
Canadian institutionsToronto Liver Centre
Fundersnot available
KeywordsInterimMedicineInterim analysisTerm (time)Internal medicineOpen labelClinical trialPolitical sciencePhysics

Abstract

fetched live from OpenAlex

Introduction: ASSURE (NCT03301506) is an ongoing, open-label, long-term, Phase 3 trial of seladelpar — a selective PPARδ agonist — in patients (pts) with primary biliary cholangitis rolling over from the Phase 3, placebo-controlled RESPONSE trial (NCT04620733) or with prior participation in legacy trials (Phase 3 ENHANCE [NCT03602560], CB8025-21629 [NCT02955602], CB8025-31731 [NCT03301506], CB8025-21838 [NCT04950764]). The parent studies required an inadequate response or intolerance to first-line ursodeoxycholic acid. Objectives: Here, we report pooled interim efficacy and safety for all pts in ASSURE. Methodology: Data cutoff: January 31, 2024; pt exposure to seladelpar in ASSURE (including exposure in pts randomized to the active treatment arm in RESPONSE) was analyzed. Key efficacy endpoints included composite biochemical response (CBR; alkaline phosphatase [ALP]<1.67×upper limit of normal [ULN], ALP decrease≥15%, and total bilirubin [TB]≤ULN) and ALP normalization. Pruritus was recorded using a numeric rating scale (NRS; 0–10) collected daily through month (M) 6; change from baseline (BL) was assessed through M6 in pts with moderate-to-severe pruritus (NRS≥4) at BL. Exposure-adjusted adverse events (AEs) were calculated for each year on study as incidence per 100 pt-years. BL was based on first exposure to seladelpar in ASSURE or RESPONSE. Results: 337 pts received 10-mg seladelpar daily. 34 pts reached 30M on study; 90 pts had≥24M of seladelpar exposure. At BL, the mean (SD) age was 58.1 (9.7) years, 318/337 (94%) pts were female, mean (SD) ALP was 287.5 (128.4) U/L, mean (SD) TB was 0.75 (0.34) mg/dL, and 55/337 (16%) had cirrhosis. At M12, M24, and M30, 204/280 evaluable pts (73%), 90/124 (73%), and 30/37 (81%) met the CBR endpoint, respectively, and ALP normalized in 106/280 (38%), 47/124 (38%), and 15/37 (41%) pts, respectively. In the pruritus NRS, mean (SE) change from BL at 6M was−3.3 (0.24) among 99 evaluable pts. Outcomes are in [ Fig. 1 ]. Exposure-adjusted AEs were observed in 86, 70, and 63 pts per 100 pt-years at M12, M24, and M36, respectively. There were no treatment-related serious AEs. Fig. 1 Conclusion: By M30 of the long-term ASSURE study, seladelpar resulted in a durable and sustained biochemical response in 81% of pts, with an ALP normalization rate of 41%, and robust improvement in pruritus. Seladelpar continues to appear safe and well tolerated, with no new safety signals or change in frequency of AEs with up to 3 years of exposure. Abstracts Präsentiert in der Sitzung: Autoimmune und cholestatische Lebererkrankungen Donnerstag, 18. September 2025, 16:30 – 18:00, Saal 3 Publication History Article published online: 04 September 2025 © 2025. Thieme. All rights reserved. Georg Thieme Verlag KG Oswald-Hesse-Straße 50, 70469 Stuttgart, Germany

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)0.009
metaresearch head score (Gemma)0.006
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.007
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.027
GPT teacher head0.323
Teacher spread0.296 · 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
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