Evidence map›Paper›PMID 26466103›Full record

ArticlePloS one2015

The Molecular Epidemiological Study of HCV Subtypes among Intravenous Drug Users and Non-Injection Drug Users in China.

Jun Tao, Jun Liang, Hui Zhang, Lijian Pei, Han-Zhu Qian, Matthew C Chambers, Yan Jiang, Yao Xiao

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. [Application of anti-HCV and HCV RNA detection in intravenous drug users].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2021
    Article
  5. [Distribution characteristics of hepatitis C virus genotypes in Xinjiang].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2020
    Article
  6. Article
  7. 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

8 authors at 3 institutions in 2 countries.

Jun TaoVanderbilt Institution for Global Health, Vanderbilt University, Nashville, Tennessee, United States of America.
Jun LiangNational AIDS Reference Laboratory (NARL), National Center for AIDS/STD Control and Prevention (NCAIDS), Chinese Center for Disease Control and Prevention (China CDC), Beijing, China.
Hui ZhangNational AIDS Reference Laboratory (NARL), National Center for AIDS/STD Control and Prevention (NCAIDS), Chinese Center for Disease Control and Prevention (China CDC), Beijing, China.
Lijian PeiNational AIDS Reference Laboratory (NARL), National Center for AIDS/STD Control and Prevention (NCAIDS), Chinese Center for Disease Control and Prevention (China CDC), Beijing, China.
Han-Zhu QianVanderbilt Institution for Global Health, Vanderbilt University, Nashville, Tennessee, United States of America; Department of Medicine, Vanderbilt University, Nashville, Tennessee, United States of America.
Matthew C ChambersDepartment of Biomedical Informatics, Vanderbilt University, Nashville, Tennessee, United States of America.
Yan JiangNational AIDS Reference Laboratory (NARL), National Center for AIDS/STD Control and Prevention (NCAIDS), Chinese Center for Disease Control and Prevention (China CDC), Beijing, China.
Yao XiaoNational AIDS Reference Laboratory (NARL), National Center for AIDS/STD Control and Prevention (NCAIDS), Chinese Center for Disease Control and Prevention (China CDC), Beijing, China.
National Center for AIDS/STD Control and Prevention,China CDC · CNVanderbilt University · USVanderbilt Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMore than half of intravenous drug users (IDUs) in China suffer from the Hepatitis C virus (HCV). The virus is also more prevalent in non-injection drug users (NIDUs) than in the general population. However, not much is known about HCV subtype distribution in these populations.

methodsOur research team conducted a cross-sectional study in four provinces in China. We sampled 825 IDUs and 244 NIDUs (1162 total), genotyped each DU's virus, and performed a phylogenetic analysis to differentiate HCV subtypes.

resultsNucleic acid testing (NAT) determined that 82% percent (952/1162) of samples were HCV positive; we subtyped 90% (859/952) of these. We found multiple HCV subtypes: 3b (249, 29.0%), 3a (225, 26.2%), 6a (156, 18.2%), 1b (137, 15.9%), 6n (50, 5.9%), 1a (27, 3.1%), and 2a (15, 1.7%). An analysis of subtype distributions adjusted for province found statistically significant differences between HCV subtypes in IDUs and NIDUs. DISCUSSION: HCV subtypes 3b, 3a, 6a, and 1b were the most common in our study, together accounting for 89% of infections. The subtype distribution differences we found between IDUs and NIDUs suggested that sharing syringes was not the most likely pathway for HCV transmission in NIDUs. However, further studies are needed to elucidate how NIDUs were infected.

Indexed as

Drug UsersGenotypeAdultChinaCross-Sectional StudiesFemaleHepacivirusHepatitis CHumansMalePhylogenyRNA-Dependent RNA PolymeraseRNA, ViralSubstance Abuse, IntravenousViral Nonstructural ProteinsNS-5 protein, hepatitis C virusRNA-Dependent RNA PolymeraseRNA, ViralViral Nonstructural Proteins

Identifiers

PMID26466103
PMCPMC4605846
OpenAlexW1830461009

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.