ArticleWorld journal of gastroenterology2015
Models for predicting hepatitis B e antigen seroconversion in response to interferon-α in chronic hepatitis B patients.
Article in World journal of gastroenterology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
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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
3 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.
- Quantitative HBV Core Antibodies as a Prognostic Marker for HBeAg Seroclearance: A Systematic Review with Meta-Analysis.Viruses · 2024Pooled it
- Enhanced delivery efficiency and sustained release of biopharmaceuticals by complexation-based gel encapsulated coated microneedles: rhIFNα-1b example.Asian journal of pharmaceutical sciences · 2021Article
- Observational
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Authors and funding
10 authors at 1 institution in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimTo develop models to predict hepatitis B e antigen (HBeAg) seroconversion in response to interferon (IFN)-α treatment in chronic hepatitis B patients.
methodsWe enrolled 147 treatment-naïve HBeAg-positive chronic hepatitis B patients in China and analyzed variables after initiating IFN-α1b treatment. Patients were tested for serum alanine aminotransferase (ALT), hepatitis B virus-DNA, hepatitis B surface antigen (HBsAg), antibody to hepatitis B surface antigen, HBeAg, antibody to hepatitis B e antigen (anti-HBe), and antibody to hepatitis B core antigen (anti-HBc) at baseline and 12 wk, 24 wk, and 52 wk after initiating treatment. We performed univariate analysis to identify response predictors among the variables. Multivariate models to predict treatment response were constructed at baseline, 12 wk, and 24 wk.
resultsAt baseline, the 3 factors correlating most with HBeAg seroconversion were serum ALT level > 4 × the upper limit of normal (ULN), HBeAg ≤ 500 S/CO, and anti-HBc > 11.4 S/CO. At 12 wk, the 3 factors most associated with HBeAg seroconversion were HBeAg level ≤ 250 S/CO, decline in HBeAg > 1 log10 S/CO, and anti-HBc > 11.8 S/CO. At 24 wk, the 3 factors most associated with HBeAg seroconversion were HBeAg level ≤ 5 S/CO, anti-HBc > 11.4 S/CO, and decline in HBeAg > 2 log10 S/CO. Each variable was assigned a score of 1, a score of 0 was given if patients did not have any of the 3 variables. The 3 factors most strongly correlating with HBeAg seroconversion at each time point were used to build models to predict the outcome after IFN-α treatment. When the score was 3, the response rates at the 3 time points were 57.7%, 83.3%, and 84.0%, respectively. When the score was 0, the response rates were 2.9%, 0.0%, and 2.1%, respectively.
conclusionModels with good negative and positive predictive values were developed to calculate the probability of response to IFN-α therapy.
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