ArticleScientific reports2024
Development and external validation of an early prediction model to identify irresponsive patients and prognosis of UDCA treatment in primary biliary cholangitis.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
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Who cites it
5 citing papers in PubMed.
- Development and evaluation of explainable machine learning models for predicting prognosis in patients with primary biliary cholangitis.Frontiers in molecular biosciences · 2026Article
- Profile of Patients with Primary Biliary Cholangitis and Evaluation of Response to Ursodeoxycholic Acid in a Romanian Center-Retrospective Study.Journal of clinical medicine · 2025Article
- MicroRNA-126-3p as a predictive biomarker for patients with primary biliary cholangitis refractory to ursodeoxycholic acid.World journal of gastroenterology · 2025Article
- Innate immunity of bile and cholangiocytes in primary biliary cholangitis.Frontiers in immunology · 2025Review
- Consensus statements of the Hellenic Autoimmune Liver Diseases Study Group on the diagnosis and current management of primary biliary cholangitis.Annals of gastroenterologyArticle
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Ursodeoxycholic acid (UDCA) is the first-line treatment for primary biliary cholangitis (PBC), but 20-40% of patients do not respond well to UDCA. We aimed to develop and validate a prognostic model for the early prediction of patients who nonresponse to UDCA. This retrospective analysis was conducted among patients with primary biliary cholangitis(N = 257) to develop a predictive model for early-stage nonresponse to ursodeoxycholic acid (UDCA) therapy. The model's reliability was subsequently confirmed through external validation in an independent cohort(N = 71). Multivariate cox regression analysis was used to evaluate variables that were significant in the univariate analysis. Total cholesterol, alkaline phosphatase (ALP), and neutrophil-to-lymphocyte ratio (NLR) were the three independent risk factors associated with early biochemical nonresponse to UDCA treatment. Based on these factors, we established a predictive model that possessed good discriminative ability, as reflected by an AUC of 0.862(95%CI = 0.813-0.911). The ROC curve of the external validation set calculated the AUC of 0.916(95%CI:0.823-1.000). In summary, we developed an early predictive model that could identify potential nonresponse factors to UDCA at baseline, which could facilitate risk evaluation and stratification for PBC patients. The NLR and total cholesterol provided a supplementary means for effectively managing PBC 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 Socratic graph.