Long-Term Efficacy and Safety of Selective PPARδ Agonist Seladelpar in Primary Biliary Cholangitis: ASSURE Interim Study Results
Bibliographic record
Abstract
INTRODUCTION: The objective of these analyses was to evaluate interim data from the ongoing, open-label, long-term efficacy and safety ASSURE study of seladelpar, a selective peroxisome proliferator-activated receptor δ agonist, in primary biliary cholangitis. METHODS: Patients rolling over from the phase 3, randomized, placebo-controlled, 12-month RESPONSE study or with previous participation in earlier legacy seladelpar studies were enrolled. Interim evaluations included composite biochemical response (alkaline phosphatase <1.67 upper limit of normal, total bilirubin ≤ upper limit of normal, and alkaline phosphatase decrease ≥15%), pruritus numerical rating scale (NRS) change among patients with a baseline score ≥4, and safety. RESULTS: At interim cutoff, 337 patients were enrolled and received ≥1 seladelpar 10 mg dose: 54 placebo-treated and 104 seladelpar-treated from RESPONSE and 179 from legacy studies. The composite response rate at RESPONSE completion was 62% (79/128) with seladelpar and 20% (13/65) with placebo. After 12 months in ASSURE, among patients who rolled over from RESPONSE, response rates were 72% (21/29) in patients continuing seladelpar and 94% (15/16) in crossover seladelpar patients. In legacy trial patients, response rates were 73% (120/164) and 70% (69/99) after 12 and 24 months of treatment in ASSURE, respectively. The NRS decrease at RESPONSE completion in seladelpar-treated patients with baseline NRS ≥4 (-3.4) was maintained after 6 additional months of treatment (-3.8); changes were similar in crossover seladelpar (-3.8) and legacy patients (-3.5) after 6 months of treatment in ASSURE. No seladelpar-related serious adverse events were reported. DISCUSSION: Seladelpar demonstrated durable improvements in cholestatic biomarkers and pruritus in patients with primary biliary cholangitis with up to 2 years of treatment and remained overall safe with long-term use. Clinicaltrials.gov: NCT03301506.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".