Evidence map›Paper›PMID 30428851›Full record

ArticleBMC infectious diseases2018

Analysis of sero-epidemiological characteristics of varicella in healthy children in Jiangsu Province, China.

Lei Zhang, Wang Ma, Yuanbao Liu, Yong Wang, Xiang Sun, Ying Hu, Xiuying Deng, Peishan Lu, Fenyang Tang, Zhiguo Wang and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
0.6field-weighted citation impact, top 28% 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

17 citing papers in PubMed, 17 citations in OpenAlex.

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  17. Spatiotemporal Epidemiology of Varicella in Chongqing, China, 2014-2018.International journal of environmental research and public health · 2020
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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 at 3 institutions in 1 country.

Lei ZhangDepartment of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu Province, China.
Wang MaFirst Affiliated Hospital of Nanjing Medical University, Nanjing, 211166, Jiangsu Province, China.
Yuanbao LiuDepartment of Expanded Programme on Immunization, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, Jiangsu Province, China.
Yong WangDepartment of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu Province, China.
Xiang SunDepartment of Expanded Programme on Immunization, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, Jiangsu Province, China.
Ying HuDepartment of Expanded Programme on Immunization, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, Jiangsu Province, China.
Xiuying DengDepartment of Expanded Programme on Immunization, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, Jiangsu Province, China.
Peishan LuDepartment of Expanded Programme on Immunization, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, Jiangsu Province, China.
Fenyang TangDepartment of Expanded Programme on Immunization, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, Jiangsu Province, China.
Zhiguo WangDepartment of Expanded Programme on Immunization, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, Jiangsu Province, China. 1020389031@qq.com.
Minghao ZhouDepartment of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu Province, China. zmhjscdc@126.com.
Jiangsu Provincial Center for Disease Control and Prevention · CNNanjing Medical University · CNJiangsu Province Hospital · CN

Funding

Jiangsu Provincial Medical Youth Talent QNRC2016547National Natural Science Foundation of China 81502860the "333" Project of Jiangsu Province BRA2017538
6 · The paper itself

Abstract

backgroundIn recent years, outbreaks of varicella have continued to occur, and the coverage rate of varicella vaccine in Jiangsu Province, China, remains unclear. This study aims to analyse the levels of immune antibody against varicella and obtain a comprehensive understanding of the varicella attenuated live vaccine (VarV) coverage rate in children aged 1-9 years in Jiangsu Province.

methodsFrom June to October 2016, a cross-sectional survey was conducted to collect 3631 serum samples from healthy children aged 1-9 years in Jiangsu Province. The immunoglobulin G (IgG) antibody levels of varicella were detected by enzyme-linked immunosorbent assay (ELISA).

resultsThe VarV coverage rate of healthy children was only 43.1% (95% CI: 41.1-44.7%). The seroprevalence after vaccination with a single dose of VarV was only 57.1%, and the overall seropositivity and geometric antibody titre (GMC) were 43.5% and 225.4 mU/ml, respectively. The seropositivity was significantly higher in girls than in boys (χ

conclusionThe VarV coverage rate of healthy children in Jiangsu Province was low. Sero-conversion rates were also low after one dose of VarV, and the immune effectiveness of a single dose of VarV was limited. To control the spread of varicella, VarV should be included in the routine immunization program, and strengthened immunization measures for the varicella-susceptible population warrant additional consideration.

Indexed as

Antibodies, ViralAsymptomatic InfectionsChickenpoxChickenpox VaccineChildChild, PreschoolChinaCross-Sectional StudiesEnzyme-Linked Immunosorbent AssayFemaleHerpesvirus 3, HumanHumansImmunization ProgramsInfantMaleSeroepidemiologic StudiesAntibodies, ViralChickenpox VaccineVaccines, AttenuatedGeometric antibody concentrationsSeroprevalenceVaricella

Identifiers

PMID30428851
PMCPMC6234534
OpenAlexW2901362308

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.