Evidence map›Paper›PMID 24884702›Full record

ArticleVirology journal2014

A description of the hepatitis B virus genomic background in a high-prevalence area in China.

Xiaoming Chen, Jie Gao, Zhaohua Ji, Weilu Zhang, Lei Zhang, Rui Xu, Jingxia Zhang, Fei Li, Shi Li, Shijie Hu and 3 more

Open access · goldAbstract read
In one paragraph

Article in Virology journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Viruses · 2020
    Article
  4. Article
  5. Observational
  6. Article
  7. Article
  8. 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

13 authors at 2 institutions in 1 country.

Xiaoming Chen
Jie Gao
Zhaohua Ji
Weilu Zhang
Lei Zhang
Rui Xu
Jingxia Zhang
Fei Li
Shi Li
Shijie Hu
Lei Shang
ZhongJun ShaoDepartment of Epidemiology, School of Public Health, Fourth Military Medical University, No, 17, Changle west RD, Xi'an 710032, China. zhjshao@hotmail.com.
Yongping Yan
Air Force Medical University · CNXijing Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHepatitis B (HB) is an important disease worldwide. Almost 350 million people are positive for Hepatitis B virus surface antigen (HBsAg), and one-third of them live in China. According to a nation-wide serosurvey in China in 2006, the prevalence of HBsAg was higher in Northwest China than in other areas. However, the epidemic HBV strains in this area are poorly studied.

resultsIn this study, 242 complete hepatitis B virus (HBV) genome sequences were obtained from HBV asymptomatic carriers in major cities of Northwest China. The 242 HBV sequences clustered into genotypes B, C and D. Through comparison of the genotype consensus sequences, 158 genotype-dependent positions were observed in P, S and X ORFs. Clinically relevant mutation screening in this study revealed that no HBV antiviral drug resistance mutations were observed and the vaccination failure mutations were heavily underrepresented.

conclusionsThe role of genotype D strains in HBV prevalence should not be ignored in Northwest China. Due to low prevalence of vaccination failure mutations, it can be inferred that the genotype B, C and D strains in Northwest China may have less likelihood of vaccine escape.

Indexed as

Genetic VariationAdolescentAdultCarrier StateChinaDNA, ViralFemaleGenome, ViralGenotypeHepatitis BHepatitis B virusHumansMaleMiddle AgedMolecular EpidemiologyMolecular Sequence DataDNA, Viral

Identifiers

PMID24884702
PMCPMC4074864
OpenAlexW2128722925

What OpenQuestion holds

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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.