Evidence map›Paper›PMID 25360522›Full record

ArticlePloS one2014

Epidemiology of hepatitis E virus in China: results from the Third National Viral Hepatitis Prevalence Survey, 2005-2006.

Zhiyuan Jia, Yao Yi, Jianhua Liu, Jingyuan Cao, Yong Zhang, Ruiguang Tian, Tao Yu, Hao Wang, Xinying Wang, Qiudong Su and 4 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

25 citing papers in PubMed, 57 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. [Consensus on prevention and treatment of hepatitis E].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Waterborne & foodborne viral hepatitis: A public health perspective.The Indian journal of medical research · 2019
    Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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

14 authors at 3 institutions in 2 countries.

Zhiyuan JiaNational Institute of Virology Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Yao YiNational Institute of Virology Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Jianhua LiuGuangzhou Center for Disease Control and Prevention, Guangzhou, China.
Jingyuan CaoNational Institute of Virology Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Yong ZhangNational Institute of Virology Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Ruiguang TianNational Institute of Virology Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Tao YuNational Institute of Virology Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Hao WangNational Institute of Virology Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Xinying WangNational Institute of Virology Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Qiudong SuNational Institute of Virology Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Wenting ZhouNational Institute of Virology Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Fuqiang CuiChinese Center for Disease Control and Prevention, Beijing, China.
Xiaofeng LiangChinese Center for Disease Control and Prevention, Beijing, China.
Shengli BiNational Institute of Virology Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
National Institute for Viral Disease Control and Prevention · CNChinese Center For Disease Control and Prevention · CNCenters for Disease Control and Prevention · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In China, hepatitis E virus (HEV) is prevalent and causes disease, but its epidemiological profile is not well understood. We used a commercial enzyme-linked immunosorbent assay to detect total antibodies to hepatitis E virus in 15,862 serum samples collected during the Third National Viral Hepatitis Prevalence Survey. The results were analyzed to calculate estimates of HEV seroprevalence and to examine the effects of some putative risk factors. The seroprevalence of HEV in the general Chinese population during the period from 2005 through 2006 was 23.46% (95% confidence interval [CI], 18.41%-28.50%). The farming population, the age group of 15-60 year olds, and those living in the Midwest or Mideast region and in Xinjiang province had the highest seroprevalence estimates. The prevalence of HEV is high in China. The seroprevalence rate of HEV shows an unbalanced distribution among areas with different geographic location and economic development levels. The characteristics of the distribution associated may be due to the route of HEV transmission (via contaminated water or animal reservoirs). Within the same region, the seroprevalence of HEV is generally increased with age.

Indexed as

Data CollectionAdolescentAdultAntibodies, ViralChildChild, PreschoolChinaHepatitis EHepatitis E virusHumansInfantMaleMiddle AgedRisk FactorsSeroepidemiologic StudiesYoung AdultAntibodies, Viral

Identifiers

PMID25360522
PMCPMC4215996
OpenAlexW2028337006

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.