Evidence map›Paper›PMID 30818912›Full record

ArticleZhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology2019

[Identifying immunization strategy for preventing mother-to-child transmission of hepatitis B virus].

J Li, Y Lu, K P Wei, X Zhang

Open access · greenAbstract read
In one paragraph

Article in Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology, 2019. 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, top 73% of its field
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, 1 citations in OpenAlex.

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

4 authors at 1 institution in 1 country.

J LiDepartment of Microbiology & Infectious Disease Center, School of Basic Medical Sciences, Peking University Health Science center, Beijing 100083, China.
Y Lu
K P Wei
X Zhang
Peking University · CN

Funding

National Natural Science Foundation of China 81571949"Thirteenth Five-Year Plan" Major National Science and Technology Major Projects 2017ZX10201201003
6 · The paper itself

Abstract

In 2016, the World Health Assembly endorsed the Global Health Sector Strategy on viral hepatitis, with aim to eliminate viral hepatitis as a public health threat by 2030, which may reduce the number of new cases of chronic hepatitis B by 90% (0.1% HBsAg prevalence among children) and mortality rate by 65%. In order to achieve this goal, blocking mother-to-child transmission of hepatitis B virus (HBV) is of paramount importance, especially in underdeveloped areas with high prevalence of HBV. In this paper, we discussed the status of chronic HBV infection and its serological and virological characteristics in women of childbearing age in China as well as the optimal dose of immunoglobulin in the combined passive-active immunoprophylaxis in infants born to HBsAg-positive mothers. In addition, the strategies for preventing mother-to-child transmission of HBV in terms of post-immunization testing, increased-dose vaccination (certainty/uncertainty) and follow-up of these infants.

Indexed as

VaccinationAdultChinaDNA, ViralFemaleHepatitis BHepatitis B e AntigensHepatitis B Surface AntigensHepatitis B VaccinesHepatitis B virusHumansImmunity, Maternally-AcquiredImmunoglobulinsInfantInfectious Disease Transmission, VerticalPregnancyDNA, ViralHepatitis B e AntigensHepatitis B Surface AntigensHepatitis B VaccinesImmunoglobulinsHepatitis B virusImmunization strategyMother-to-child transmission

Identifiers

PMID30818912
PMCPMC12769217
OpenAlexW3024533624

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.