Maralixibat Reduces Serum Bile Acids and Improves Cholestatic Pruritus in Adolescents With Alagille Syndrome
Bibliographic record
Abstract
BACKGROUND: Alagille syndrome (ALGS) is a multisystem cholestatic disorder. Maralixibat is approved for the treatment of cholestatic pruritus in ALGS with limited data in adults. METHODS: Participants were included if they received ≥ 2 doses of maralixibat at age ≥ 16 years in one of the three previously published maralixibat ALGS clinical trials. RESULTS: Eleven initiated treatment < 16 years old (median age, 13.0) with a median follow-up of 4.1 years. Three participants began maralixibat at ≥ 16 years old, with a median follow-up of 3.8 years. Participants starting maralixibat at age < 16 had minimal-to-no itch (change from baseline [CFB]: -1.8; p = 0.002) persisting throughout the study. Serum bile acids (sBA) decreased (CFB: 29 μmol/L; p = 0.03), persisting throughout the study. Participants starting maralixibat ≥ 16 years old had pruritus improvements (CFB: -2.8, -0.6, -1.0). One had a large decrease in sBA (CFB: -112 μmol/L), and two had small increases (CFB: 8, 11 μmol/L). Maralixibat was well tolerated. CONCLUSION: Participants receiving maralixibat in adolescence demonstrated improvements in pruritus and sBA, which persisted through young adulthood.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".