ArticleHepatology international2026
A combined model of HBcrAg, anti-HBc, and anti-HBs predicts recurrence after functional cure of chronic hepatitis B.
Article in Hepatology international, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
BACKGROUND AND
objectiveDespite achieving functional cure with pegylated interferon-based therapy, a significant proportion of chronic hepatitis B (CHB) patients experience recurrence, even in the presence of high anti-HBs titers. Robust predictors to identify these at-risk individuals are lacking. We aimed to develop and validate a novel model integrating viral (HBcrAg) and host immune (anti-HBc, anti-HBs) biomarkers for personalized recurrence prediction.
methodsIn this ambispective cohort, 84 CHB patients with functional cure (28 recurrence [R], 56 non-recurrence [NR]) were rigorously selected via 1:2 propensity score matching and followed for ≥ 96 weeks. Serum levels of HBcrAg, anti-HBc, and anti-HBs at end-of-treatment (EOT) were quantified. Independent predictors were identified by logistic regression, and diagnostic performance was evaluated by ROC analysis.
resultsAt EOT, the R group had significantly higher HBcrAg levels than the NR group (3.30 ± 1.13 vs. 2.26 ± 1.04 log
conclusionThe HBcrAg/anti-HBc axis is a key determinant of relapse risk after functional cure. A combined biomarker model provides superior risk stratification, accurately identifying high-risk patients missed by anti-HBs alone, and paves the way for individualized post-treatment surveillance strategies.
Indexed as
Identifiers
41845172What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.