Evidence map›Paper›PMID 42198689›Full record

ArticleViruses2026

Characteristics and Screening Strategies of Hepatitis B in Guangdong Province, China.

Weizhao Lin, Xiaoping Shao, Junjie Wang, Hongqing Wen, Jiahong Liu, Can Xiong, Zixia Qian, Wei Zhao, Jun Liu, Jiufeng Sun

Abstract read
In one paragraph

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

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

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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.

Weizhao LinSchool of Public Health, Southern Medical University, Guangzhou 510515, China.
Xiaoping ShaoGuangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China.
Junjie WangSchool of Public Health, Southern Medical University, Guangzhou 510515, China.
Hongqing WenSchool of Public Health, Sun Yat-Sen University, Guangzhou 510080, China.
Jiahong LiuDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China.
Can XiongDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China.
Zixia QianSchool of Public Health, Guangdong Pharmaceutical University, Guangzhou 510310, China.
Wei ZhaoSchool of Public Health, Southern Medical University, Guangzhou 510515, China.
Jun LiuGuangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China.
Jiufeng SunSchool of Public Health, Southern Medical University, Guangzhou 510515, China.ORCID 0000-0003-1047-929X

Funding

Guangdong Provincial Center for Disease Control and Prevention NO.0720240121
6 · The paper itself

Abstract

Determining the characteristics of hepatitis B virus (HBV) infection in the healthy population and evaluating the effectiveness of detection strategies will facilitate the optimization of hepatitis B screening strategies in the community and accelerate the elimination of HBV infection in China by the end of 2030. Hepatitis B surface antigen (HBsAg)-electrochemiluminescence immunoassays (ECLIAs), HBsAg-rapid diagnostic tests (RDTs), and HBV DNA-nucleic acid tests (NATs) were performed on serum samples from 2721 community-based healthy participants in Guangdong Province. The screening performance of the RDT and NAT and the distribution characteristics of HBsAg and HBV DNA were evaluated. The prevalence rates of HBsAg-ECLIA, HBsAg-RDT and HBV DNA-NAT in Guangdong Province were 6.10% (95% CI: 5.26~7.06), 4.96% (95% CI: 4.21~5.84) and 6.55% (95% CI: 5.64~7.49), respectively, and the prevalence rates for the three methods for individuals aged over 30 years were 11.18%, 10.92% and 12.57%, respectively. When the ECLIA was used as the gold standard, the sensitivities of the RDT, NAT and RDT and NAT in parallel were 80.7% (95% CI: 73.9~86.4), 86.7% (95% CI: 80.6~91.5) and 93.4% (95% CI: 88.5~96.6), respectively, and the sensitivity of the RDT and NAT in parallel was greater than that of the RDT alone (

Indexed as

Hepatitis BHepatitis B virusMass ScreeningAdolescentAdultAgedChildChild, PreschoolChinaDNA, ViralFemaleHepatitis B Surface AntigensHumansImmunoassayMaleMiddle AgedDNA, ViralHepatitis B Surface Antigenscost–benefit analysisHBsAgNATprevalenceRDT

Identifiers

PMID42198689
PMCPMC13211652

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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.