ArticleBMC infectious diseases2024
Predicting clinical outcomes in chronic hepatitis B patients receiving nucleoside analogues and pegylated interferon alpha: a hematochemical and clinical analysis.
Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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.
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.
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Who cites it
2 citing papers in PubMed.
- Beyond viral suppression: combining PEG-interferon with novel immunotherapies for functional cure of chronic hepatitis B.Frontiers in cellular and infection microbiology · 2026Review
- Affordable mRNA Novel Proteins, Recombinant Protein Conversions, and Biosimilars-Advice to Developers and Regulatory Agencies.Biomedicines · 2025Review
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
backgroundThe best antiviral treatment for chronic hepatitis B (CHB) poses a complex challenge. The treatment effect of the combination of nucleoside analogues (NAs) and pegylated interferon alpha (PegIFN) was still in debate.
methodsWe studied patients treated with NAs and PegIFN-2b at our institution from November 2019 to January 2022. Logistic regression identified independent factors influencing clinical cure. The predictive accuracy of the formula was assessed using the Receiver operating characteristic (ROC) curve at different time points (before therapy, 12 weeks, and 24 weeks into treatment).
resultsA total of 120 patients were enrolled in the final analysis. Among the cohort of patients under study, 71 (59.1%) patients had clinical cure while 49 (40.9%) patients did not. Hepatitis B surface antigen (HBsAg) at baseline and age were the powerful variables predicting the clearance of HBsAg. The area under the ROC (AUC) was 0.907 for pre-treatment predictive model, 0.958 for 12-week predictive model and 0.747 for 24-week predictive model.
conclusionThis study provided predictive formulas for clinical cure, offering valuable insights for CHB treatment. PegIFN and NAs exhibited efficacy. Future research that explores additional factors, such as HBV genotype, in a larger cohort study is needed.
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