Evidence map›Paper›PMID 42325858›Full record

ReviewInfectious diseases & immunity2025

Epidemiology, natural history, and outcome of chronic hepatitis B in children.

Chenyang Huang, Jing Li, Min Zhang, Junliang Fu, Fu-Sheng Wang

Abstract readReview
In one paragraph

Review in Infectious diseases & immunity, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Chenyang HuangMedical School of Chinese PLA, Beijing 100039, China.
Jing LiDepartment of Infectious Diseases, Fifth Medical Center of Chinese PLA General Hospital, National Clinical Research Center for Infectious Diseases, Beijing 100039, China.
Min ZhangMedical School of Chinese PLA, Beijing 100039, China.
Junliang FuMedical School of Chinese PLA, Beijing 100039, China.
Fu-Sheng WangMedical School of Chinese PLA, Beijing 100039, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatitis B virus (HBV) infection is a global epidemic whose prevention and control among children warrant significant attention. Despite the availability of effective vaccines, the disease continues to affect millions of children worldwide, underscoring the need for a comprehensive understanding of its epidemiology and natural history in this vulnerable population. While research on HBV in adults has advanced considerably, the natural history of HBV infection in children remains less well-defined and may differ from adult studies due to unique immunological and physiological characteristics. This article reviews the epidemiological characteristics of HBV infection in children worldwide and summarizes the research progress on the natural outcomes of children with chronic HBV infection. Furthermore, the necessity of this review stems from the critical role that early detection, monitoring, and timely intervention play in mitigating the long-term consequences of chronic hepatitis B (CHB) in children. By synthesizing current evidence and identifying knowledge gaps, we hope to inform clinical practice, guide future research directions, and ultimately improve the health outcomes of children living with HBV. In doing so, this review article offers a valuable reference for healthcare providers, researchers, and policymakers working to combat the global challenge of HBV infection among children. The aim is to provide a relevant reference for the monitoring, screening, diagnosis, and treatment of children with CHB.

Indexed as

CHBChildrenHBsAgHBVNatural HistoryPrevalence

Identifiers

PMID42325858
PMCPMC13277516

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.