ArticleJournal of clinical laboratory analysis2020
A nomogram based on pretreatment clinical parameters for the prediction of inadequate biochemical response in primary biliary cholangitis.
Article in Journal of clinical laboratory analysis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 11 citations in OpenAlex.
- Prognostic nutritional index as a predictor of ursodeoxycholic acid response in primary biliary cholangitis: a retrospective study.BMC gastroenterology · 2026Article
- Noninvasive prediction of insufficient biochemical response after ursodeoxycholic acid treatment in patients with primary biliary cholangitis based on pretreatment nonenhanced MRI.European radiology · 2024Article
- Integrative bioinformatics analysis and experimental validation of key biomarkers for risk stratification in primary biliary cholangitis.Arthritis research & therapy · 2023Article
- Risk Stratification in Primary Biliary Cholangitis.Journal of clinical medicine · 2023Review
- Machine learning prediction model for treatment responders in patients with primary biliary cholangitis.JGH open : an open access journal of gastroenterology and hepatology · 2023Article
- Gender and Autoimmune Liver Diseases: Relevant Aspects in Clinical Practice.Journal of personalized medicine · 2022Review
- Predictive Model of Ursodeoxycholic Acid Treatment Response in Primary Biliary Cholangitis.Journal of clinical and translational hepatology · 2021Article
- A nomogram based on pretreatment clinical parameters for the prediction of inadequate biochemical response in primary biliary cholangitis.Journal of clinical laboratory analysis · 2020Article
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
Abstract
backgroundUrsodeoxycholic acid (UDCA) has been widely recommended as the first-line drug for primary biliary cholangitis (PBC) in the current guidelines. However, its therapeutic effects are poor in nearly one-third of patients. The early identification and intervention of these patients is crucial for delaying disease progression. Therefore, we explored risk factors for inadequate biochemical response and constructed a nomogram to predict the potential risk.
methodsWe enrolled 356 patients and randomly divided them into training (70%) and validation groups (30%). We defined inadequate biochemical response as the study endpoint. Logistic analysis was used to identify the independent predictors of poor biochemical response. Based on these factors, a predictive nomogram was finally constructed. Then, discrimination and calibration were evaluated by internal validation. Additionally, the association between the model predictions and prognosis was further analyzed.
resultsFemale sex, and albumin and bilirubin concentrations were identified as risk factors, and a nomogram was built based on these factors. The areas under the ROC curves of the training and validation groups were 0.809 and 0.791, respectively. Moreover, calibration curves showed that predictions of the nomogram had good concordance with the actual outcomes. The correlation analysis demonstrated that PBC patients with a high probability of a suboptimal biochemical response were more likely to have adverse outcomes.
conclusionWe constructed a nomogram, which can accurately predict the risk of inadequate biochemical response to UDCA, facilitating the early screening of high-risk patients with PBC who should be prioritized for additional therapy.
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