Evidence map›Paper›PMID 41078127›Full record

ArticleJournal of viral hepatitis2025

Real-World Study for Mother-To-Child Transmission of Hepatitis B in Guangdong Province, 2021-2023.

Tiancheng Xie, Mengyang Su, Min Cai, Tianshuo Zhao, Xiyu Zhang, Sihui Zhang, Mingting Wang, Qingsong Xu, Yujie Cheng, Shuang Gao and 1 more

Abstract read
In one paragraph

Article in Journal of viral hepatitis, 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

11 authors.

Tiancheng XieDepartment of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing, P.R. China.ORCID https://orcid.org/0000-0002-5204-5468
Mengyang SuDepartment of Maternity Group Health, Guangdong Women and Children Hospital, Guangzhou, P.R. China.
Min CaiDepartment of Maternity Group Health, Guangdong Women and Children Hospital, Guangzhou, P.R. China.
Tianshuo ZhaoDepartment of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing, P.R. China.
Xiyu ZhangDepartment of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing, P.R. China.ORCID https://orcid.org/0000-0002-8347-3916
Sihui ZhangDepartment of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing, P.R. China.
Mingting WangDepartment of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing, P.R. China.
Qingsong XuDepartment of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing, P.R. China.
Yujie ChengDepartment of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing, P.R. China.
Shuang GaoDepartment of Maternity Group Health, Guangdong Women and Children Hospital, Guangzhou, P.R. China.
Fuqiang CuiDepartment of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to evaluate the status of hepatitis B virus (HBV) mother-to-child transmission (MTCT) among infants born to hepatitis B surface antigen (HBsAg)-positive mothers from 2021 to 2023 and identify key factors influencing HBV MTCT, providing critical insights to inform future HBV prevention strategies. Data were obtained from the case records of HBsAg-positive pregnant women and their newborns in Guangdong Province from January 1, 2021, to December 31, 2023. For HBsAg and anti-HBs positive rates, bivariate analysis was conducted to examine associations between maternal and infant characteristics. Additionally, Firth's bias reduction logistic regression analysis was conducted to identify factors influencing MTCT. Our study analysed data from 131,781 HBsAg-positive pregnant women and their newborns in Guangdong Province from 2021 to 2023. Among 131,781 infants completing PVST, the overall HBV MTCT rate was 0.44%, with an anti-HBs positivity rate of 93.48%. Maternal age, administration of HepB-BD and HBIG and use of antiviral treatment during pregnancy were significantly associated with HBV MTCT. However, birth weight, maternal education level, mode of delivery and number of births were not significantly associated with HBV MTCT risk. This study provides a comprehensive analysis of HBV MTCT among HBsAg-positive pregnant women and their infants in Guangdong Province from 2021 to 2023. Despite significant advancements in HBV MTCT prevention, our findings underscore the need for enhanced strategies, particularly for pregnant women with high HBV viral loads. Strengthening maternal antiviral treatment, ensuring timely and comprehensive infant follow-up, and implementing targeted health education programs will be essential for further reducing MTCT rates and improving long-term outcomes.

Indexed as

Hepatitis BInfectious Disease Transmission, VerticalPregnancy Complications, InfectiousAdultAntiviral AgentsChinaFemaleHepatitis B AntibodiesHepatitis B Surface AntigensHepatitis B virusHumansInfant, NewbornMalePregnancyRisk FactorsYoung AdultAntiviral AgentsHepatitis B AntibodiesHepatitis B Surface AntigensHBsAg‐positive pregnant womenhepatitis B virusinfluence factorsmother‐to‐child transmissionpost‐vaccination serological testing

Identifiers

PMID41078127
PMCPMC12516463

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.