ArticleJournal of clinical medicine2022
Ileal Bile Acid Transporter Blockers for Cholestatic Liver Disease in Pediatric Patients with Alagille Syndrome: A Systematic Review and Meta-Analysis.
Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.
- Efficacy of ileal bile acid transport inhibitors in children with Alagille syndrome: a meta-analysis.European journal of pediatrics · 2025Pooled it
- Long-Term Outcomes of Living Donor Liver Transplantation in Children With Alagille Syndrome: Results From Vanguard Multicenter Study of International Living Donor Liver Transplantation Group.Pediatric transplantation · 2026Trial
- Scratching the Surface: Lipidomic Profiling of the Stratum Corneum in the Search for Pruritogens in Cholestatic Liver Diseases.Journal of personalized medicine · 2026Review
- ATP-binding Cassette Transporter Defects and Their Roles in Hepatic Diseases.Journal of clinical and translational hepatology · 2026Review
- Efficacy and Safety of Ileal Bile Acid Transport Inhibitors in Inherited Cholestatic Liver Disorders: A Meta-analysis of Randomized Controlled Trials.Journal of clinical and experimental hepatologyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 6 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Alagille syndrome (ALGS) is a rare, debilitating inheritable disease that is associated with refractory pruritus due to chronic cholestasis. The following systemic review and meta-analysis presents the latest evidence for ileal bile acid transport (IBAT) blockers in AGLS patients in order to improve their efficacy. This study adhered to PRISMA 2020 Statement guidelines. A systematic search of PubMed/MEDLINE, Web of Science, Scopus, and the Cochrane library was conducted from inception until 23 October 2022. A combination of the following keywords was used: Alagille syndrome, therapeutics, treatment, therapy. Meta-analytical outcomes included effect directions of end-line changes in serum bile acids (sBAs), Itch Scale scores (ItchRO), Multidimensional Fatigue Scale scores, pediatric quality of life (QL), alanine aminotransferase (ALT), and total bilirubin. A total of 94 patients across four trials were enrolled and received maralixibat, odevixibat, or a placebo. There was a significant reduction in ItchRO scores by 1.8 points, as well as in sBAs by 75.8 μmol/L. Both the Multidimensional Fatigue Scale and Pediatric QL scale were also improved by 11.4 and 8.3 points, respectively. However, ALT levels were raised by 40 U/L. The efficacy of IBAT inhibitors across current trials was noted. Future trials may focus on the optimization of dosing regimens, considering gastrointestinal side effects and drug-induced ALT elevation in AGLS patients.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.