ArticleMedicine2020
Comparison and evaluation of non-invasive models in predicting liver inflammation and fibrosis of chronic hepatitis B virus-infected patients with high hepatitis B virus DNA and normal or mildly elevated alanine transaminase levels.
Article in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 15 citations in OpenAlex.
- Dual-phase T1-mapping (DHR-MAP) for non-invasive assessment of advanced liver fibrosis and moderate hepatitis: a single-center validation study.BMC gastroenterology · 2026Article
- A machine learning predictive model for staging chronic hepatitis B inflammation based on non-invasive metrics.Scientific reports · 2026Article
- Performance of Serum-Based Non-Invasive Fibrosis Scores Compared with Liver Biopsy in Patients with Chronic Hepatitis B.Medicina (Kaunas, Lithuania) · 2026Article
- A machine learning model for non-invasive prediction of advanced liver fibrosis in patients with chronic hepatitis B.American journal of translational research · 2025Article
- A New Assessment of Two Transferase-Based Liver Enzymes in Low- and High-Fibrosis Patients Chronically Infected with Hepatitis B Virus: A Meta-Analysis and Pilot Study.Journal of clinical medicine · 2024Article
- Noninvasive models for the prediction of liver fibrosis in patients with chronic hepatitis B.BMC gastroenterology · 2024Article
- Noninvasive Models to Assess Liver Inflammation and Fibrosis in Chronic HBV Infected Patients with Normal or Mildly Elevated Alanine Transaminase Levels: Which One Is Most Suitable?Diagnostics (Basel, Switzerland) · 2024Article
- Non-Invasive Monitoring of the Impact of Low-Level Viremia on Liver Fibrosis in Treated Chronic Hepatitis B Patients.Infection and drug resistance · 2024Article
- Establishment and validation of a diagnostic nomogram for significant histopathologic changes of hepatic injury in HBV-infected patients.Annals of translational medicine · 2023Article
- Article
- Predictive Performances of Blood Parameter Ratios for Liver Inflammation and Advanced Liver Fibrosis in Chronic Hepatitis B Infection.BioMed research international · 2021Article
- Predictive performance of eLIFT for liver inflammation and fibrosis in chronic liver diseases.International journal of medical sciences · 2021Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Few studies have paid attention to the performances of non-invasive models in diagnosing stages of liver fibrosis and inflammation, which are critical for early and accurate assessment of prognostication and decisions on antiviral treatment in chronic hepatitis B infection patients with high hepatitis B virus DNA and normal or mildly elevated alanine transaminase levels (≤2 times upper limit of normal (ULN)). This study aimed to investigate the value of routine serum markers in evaluation of liver inflammation and fibrosis in these patients.A total of 370 consecutive chronic hepatitis B virus-infected patients who underwent liver biopsy were retrospectively analyzed. The Scheuer scoring system was adopted as the pathological standard for diagnosing liver inflammation and fibrosis. The receiver-operating characteristic curves (ROC) and the area under the ROC curves (AUROCs) were used to analyze the performances of the models, including aspartate transaminase to platelet ratio index (APRI), fibrosis index based on the 4 factors (FIB-4), red cell volume distribution width-to-platelet ratio (RPR), globulin-platelet model (GP), and gamma-glutamyl transpeptidase to platelet ratio index (GPR).To predict significant inflammation (G ≥2), the AUROC of APRI was higher than that of FIB-4 (0.705 vs 0.629, P = .001), RPR (0.705 vs 0.593, P < .001) and GP (0.705 vs 0.620, P = .002), equivalent to that of GPR (0.705 vs 0.690, P = .606). As for severe inflammation (≥G3) and significant fibrosis (≥S2), there was no statistic difference among them. To predict severe fibrosis (≥ S3), the AUROC of FIB-4 was higher than that of RPR (0.805 vs 0.750, P = .006) and GP (0.805 vs 0.755, P = .046), comparable to that of APRI (0.805 vs 0.785, P = .550) and GPR (0.805 vs 0.818, P = .694). As for significant liver histological changes (G ≥ 2 or/and S ≥ 2), the performance of APRI was higher than that of RPR (0.717 vs 0.652, P = .006), GP (0.717 vs 0.659, p = .011), equivalent to that of FIB-4 (0.717 vs 0.692, P = .254) and GPR (0.717 vs 0.680, P = .166).We found that APRI, GPR, and FIB-4 were more effective than RPR and GP for diagnosing liver inflammation and fibrosis.
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