Evidence map›Paper›PMID 42562264›Full record

ArticleJHEP reports : innovation in hepatology2026

HBsAg isoforms predict HBsAg seroclearance and finite treatment in patients with chronic hepatitis B after cessation of long-term nucleos(t)ide analogs.

Lung-Yi Mak, Mark Anderson, Rex Wan-Hin Hui, Tiffany Fortney, Karen Cheuk-Ying Ho, Rene Geissler, James Fung, Wai-Kay Seto, Gavin Cloherty, Man-Fung Yuen

Abstract read
In one paragraph

Article in JHEP reports : innovation in hepatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Lung-Yi MakDepartment of Medicine, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region of China; State Key Laboratory of Liver Research, The University of Hong Kong, Hong Kong Special Administrative Region of China; Blizard Institute, Faculty of Medicine and Dentistry, Queen Mary University of London, UK.
Mark AndersonAbbott Laboratories, Abbott Diagnostics Division, Abbott Park, IL, USA.
Rex Wan-Hin HuiDepartment of Medicine, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region of China.
Tiffany FortneyAbbott Laboratories, Abbott Diagnostics Division, Abbott Park, IL, USA.
Karen Cheuk-Ying HoDepartment of Medicine, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region of China.
Rene GeisslerAbbott Laboratories, Abbott Diagnostics Division, Abbott Park, IL, USA.
James FungDepartment of Medicine, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region of China; State Key Laboratory of Liver Research, The University of Hong Kong, Hong Kong Special Administrative Region of China.
Wai-Kay SetoDepartment of Medicine, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region of China; State Key Laboratory of Liver Research, The University of Hong Kong, Hong Kong Special Administrative Region of China.
Gavin ClohertyAbbott Laboratories, Abbott Diagnostics Division, Abbott Park, IL, USA.
Man-Fung YuenDepartment of Medicine, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region of China; State Key Laboratory of Liver Research, The University of Hong Kong, Hong Kong Special Administrative Region of China. Electronic address: mfyuen@hku.hk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND &

aimsWe examined the role of HBsAg isoforms to predict HBsAg seroclearance or finite treatment among patients with chronic hepatitis B (CHB) infection who stopped long-term nucleoside analog (NUC).

methodsThis prospective study recruited patients with HBeAg-negative non-cirrhotic CHB on ≥3 years of first-line NUC with NUC cessation. NUC was resumed upon clinical relapse (CR) or major virological rebound (mVR). HBV biomarkers were measured at baseline, CR or mVR (if any), and end-of-follow-up. The primary outcome was HBsAg seroclearance (defined as <0.05 IU/ml). Patients were followed up for ≥1 year after NUC cessation (without CR/mVR) or ≥1 year after alanine aminotransferase normalization (with CR/mVR), whichever was later. Finite treatment was defined as a state of no virological relapse (VR), that is persistent HBV DNA <2,000 IU/ml or HBsAg seroclearance.

resultsAmong 51 patients who completed the study (median age 50.1 years, 62.7% male, baseline qHBsAg 298 IU/ml with 25.5% <100 IU/ml, median NUC duration 7.38 years; median follow-up 91 weeks), six patients developed HBsAg seroclearance at weeks 20, 24, 48, 81, 91, and 96, with an event rate of 11.7%. Baseline small HBsAg (SHBs) was predictive of HBsAg seroclearance (hazard ratio [HR] 0.205, 95% CI 0.082-0.514) and identified 62.5% patients who achieved HBsAg seroclearance when combined with criteria of quantitative HBsAg (qHBsAg) <100 IU/ml. Fifteen patients fulfilled finite treatment criteria, which was associated with low baseline SHBs (HR 3.471, 95% CI 1.132-10.647) and the presence of hepatic steatosis (HR 4.077, 95% CI 1.374-12.098). No patients developed hepatic decompensation.

conclusionsBaseline small HBs (SHBs) levels, in addition to quantitative HBsAg levels, were predictive of HBsAg seroclearance. SHBs levels and hepatic steatosis were associated with finite treatment following nucleoside analog cessation. IMPACT AND IMPLICATIONS: Stopping long-term nucleoside analog (NUC) is one of the strategies to enhance host control to hepatitis B virus and target for functional cure. In addition to quantitative HBsAg (qHBsAg) levels, we explored the role of HBsAg isoforms in predicting off-therapy outcomes in this prospective cohort study involving Asian patients with chronic hepatitis B infection. Low small HBs, a surrogate marker of integrated DNA-derived HBsAg, was predictive of off-NUC HBsAg seroclearance and identified 62.5% patients who would develop HBsAg seroclearance when combined with qHBsAg <100 IU/ml. Finite treatment, defined as either HBsAg seroclearance or viral load maintained below 2,000 IU/ml after NUC cessation, was associated with low baseline SHBs and presence of hepatic steatosis. Combining qHBsAg <100 IU/ml with low baseline SHBs identified 87.5% patients who could achieve finite treatment. These findings are most compelling to hepatologists and other clinicians managing patients with chronic hepatitis B infection on NUC or researchers conducting clinical trials. The findings are of academic relevance to researchers to investigate the correlation between SHBs expression with intrahepatic viral reservoir as well as the immunological basis behind virological control after NUC cessation. However, the study was limited by a relatively small sample size and the inclusion of purely Asian patients, requiring confirmation in larger cohorts for validation of findings before incorporation into clinical guidelines.

Indexed as

Antiviral AgentsHepatitis B, ChronicHepatitis B Surface AntigensAdultBiomarkersDNA, ViralFemaleHepatitis B e AntigensHepatitis B virusHumansMaleMiddle AgedNucleosidesProspective StudiesProtein IsoformsRecurrenceAntiviral AgentsBiomarkersDNA, ViralHepatitis B e AntigensHepatitis B Surface AntigensNucleosidesProtein IsoformsFunctional cureHBcrAgHBsAg seroclearanceHBV RNAPartial cureViral biomarkers

Identifiers

PMID42562264
PMCPMC13571424

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.