Evidence map›Paper›PMID 40248021›Full record

ArticleFrontiers in pediatrics2025

Predictive value of HBeAg titer dynamics for HBsAg clearance in pediatric chronic hepatitis B.

Sukjin Hong, Jun Hyun Hwang, Keumoung Kim, Younghae Do, Naeun Kwak, Hyo Rim Suh, Sujin Choi, Ben Kang, Byung-Ho Choe

Abstract read
In one paragraph

Article in Frontiers in pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

9 authors.

Sukjin HongDepartment of Pediatrics, School of Medicine, Daegu Catholic University, Daegu, Republic of Korea.
Jun Hyun HwangDepartment of Preventive Medicine, School of Medicine, Daegu Catholic University, Daegu, Republic of Korea.
Keumoung KimDepartment of Mathematics, Nonlinear Dynamics & Mathematical Application Center, Kyungpook National University, Daegu, Republic of Korea.
Younghae DoDepartment of Mathematics, Nonlinear Dynamics & Mathematical Application Center, Kyungpook National University, Daegu, Republic of Korea.
Naeun KwakDepartment of Pediatrics, School of Medicine, Kyungpook National University, Daegu, Republic of Korea.
Hyo Rim SuhDepartment of Pediatrics, School of Medicine, Kyungpook National University, Daegu, Republic of Korea.
Sujin ChoiDepartment of Pediatrics, School of Medicine, Kyungpook National University, Daegu, Republic of Korea.
Ben KangDepartment of Pediatrics, School of Medicine, Kyungpook National University, Daegu, Republic of Korea.
Byung-Ho ChoeDepartment of Pediatrics, School of Medicine, Kyungpook National University, Daegu, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Achieving functional cure of chronic hepatitis B (CHB), characterized by the loss of HBV DNA and HBsAg, remains challenging in adults but demonstrates higher success rates in children. Elucidating the factors influencing HBsAg loss in pediatric patients is crucial for optimizing treatment strategies. This study aimed to evaluate the predictive value of HBeAg titer dynamics for HBsAg clearance in pediatric CHB and develop a predictive model incorporating these dynamics. Material and methods: This retrospective cohort study analyzed 119 children aged 1-18 years with CHB treated with nucleos(t)ide analogues. Patient outcomes were evaluated using two independent classification approaches: HBsAg loss status and age stratification (≤6 vs. >6 years). Treatment response was assessed through longitudinal HBeAg titer measurements during the first 12 months. Based on identified predictors, a logistic regression model was developed incorporating age and HBeAg titer dynamics to predict HBsAg clearance probability. Results: The study population exhibited a median age of 6.2 years. Factors associated with HBsAg loss encompassed younger age, female sex, and absence of breakthrough. In multivariate analysis, younger age was identified as the only significant factor. The cumulative HBsAg loss rate demonstrated markedly higher values in the ≤6 years group (Hazard ratio 7.69). HBeAg titer decline exhibited significantly steeper trajectories in the HBsAg loss group. The developed predictive model, "Log Odds = -1.182 + 0.308 × log_reduction-0.205 × age", demonstrated good performance with high accuracy. Conclusions: Early HBeAg titer dynamics combined with age at treatment initiation may serve as useful predictors of HBsAg clearance in pediatric CHB. Our predictive model, utilizing readily available semi-quantitative HBeAg measurements, could potentially assist clinicians in therapeutic decision-making and individualized treatment strategies.

Indexed as

antiviral agentschildrenhepatitis B e antigenshepatitis B surface antigensseroconversion

Identifiers

PMID40248021
PMCPMC12003423

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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.