ArticleVirulence2023
Nomogram for evaluating obvious liver inflammation in treatment-naïve HBeAg positive chronic hepatitis B virus infection patients with normal ALT.
Article in Virulence, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Predictive value of hepatic, hematological, and immunological markers and their temporal dynamics in chronic hepatitis B functional cure.Microbiology spectrum · 2025Article
- Liver histological study of patients with chronic hepatitis B virus infection in the grey zone.BMC infectious diseases · 2025Article
- Development of a machine learning-based model to predict hepatic inflammation in chronic hepatitis B patients with concurrent hepatic steatosis: a cohort study.EClinicalMedicine · 2024Article
- Emerging Trends in the Application of Extracellular Vesicles as Novel Oral Delivery Vehicles for Therapeutics in Inflammatory Diseases.International journal of nanomedicine · 2024Review
- Advances in the Therapeutic Applications of Plant-Derived Exosomes in the Treatment of Inflammatory Diseases.Biomedicines · 2023Review
- Development and Validation of a Nomogram to Predict Significant Liver Inflammation in Patients with Chronic Hepatitis B.Infection and drug resistance · 2023Article
Corrections and comments
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The purpose of this study was to develop an effective and non-invasive nomogram for evaluating liver obvious inflammation in untreated HBeAg positive patients with chronic hepatitis B virus (HBV) infection. A nomogram was established on a model cohort of 292 treatment-naïve HBeAg positive patients with normal alanine aminotransferase (ALT ≤40 U/L) at Beijing Ditan Hospital from January 2008 to March 2018. Then the nomogram was prospectively validated in a cohort of 88 patients from July 2019 to May 2021. Calibration curves and Concordance index were used to evaluate the accuracy of prediction and identification performance of the model. In untreated HBeAg positive chronic hepatitis B virus infection patients with normal ALT, the formula for predicting liver inflammation was Logit (P) =-0.91-0.41×log
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