Evidence map›Paper›PMID 23986603›Full record

ArticleJournal of virology2013

The current hepatitis C virus prevalence in China may have resulted mainly from an officially encouraged plasma campaign in the 1990s: a coalescence inference with genetic sequences.

Ling Lu, Wangxia Tong, Lin Gu, Chunhua Li, Teng Lu, Kok Keng Tee, Guihua Chen

Abstract read
In one paragraph

Article in Journal of virology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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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

7 authors.

Ling LuLaboratory for Hepatology, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China.
Wangxia Tong
Lin Gu
Chunhua Li
Teng Lu
Kok Keng Tee
Guihua Chen

Funding

HCV Genotype 6: A Model for HCV Genetics and Molecular Epidemiology StudiesR01AI080734 · NIAID · UNIVERSITY OF UTAH · PI LU, LING · 2009 to 2011
$1.1M
NIAID NIH HHS 5 R01 AI080734-03ANIAID NIH HHS R01 AI080734
6 · The paper itself

Abstract

In this study, we investigated hepatitis C virus (HCV) molecular epidemiology and evolutionary dynamics. Both E1 and NS5B sequences were characterized in 379 of 433 patients in southern China and classified into five major subtypes: 1b in 256 patients, 6a in 67 patients, 2a in 29 patients, 3a in 14 patients, and 3b in 13 patients. Using the E1 sequences obtained, along with those from other studies using samples from China, we inferred the HCV epidemic history by means of coalescence strategies. Five Bayesian skyline plots (BSPs) were estimated for the five subtypes. They concurrently highlighted the rapid growth in the HCV-infected population size from 1993 to 2000, followed by an abrupt slowing. Although flanked on both sides by variable population sizes, the plots showed distinct patterns of rapid HCV growth. Coincidently, 1993 to 2000 was a period when contaminated blood transfusions were common in China due to a procedural error in an officially encouraged plasma campaign. The abrupt slowing in 1998 to 2000 corresponded to the central government outlawing paid blood donations in 1998. Using a parametric model, the HCV population growth rates were estimated during 1993 to 2000. It was revealed that the 6a rate was the highest, followed by those of 1b, 2a, 3b, and 3a. Because these rates differed significantly (P < 1e-9) from each other, they may help explain why 6a is increasingly prevalent in southern China and 1b is predominant nationwide. These rates are approximately 10-fold higher than those reported elsewhere. These findings suggested that during the plasma campaign, certain barriers to efficient viral transmission were removed, allowing wide HCV dissemination.

Indexed as

AlgorithmsBayes TheoremChinaEvolution, MolecularHepacivirusHepatitis CHumansMolecular EpidemiologyPhylogenyPolymerase Chain ReactionRNA-Dependent RNA PolymeraseRNA, ViralSequence Analysis, DNAViral Envelope ProteinsViral Nonstructural ProteinsE1 protein, Hepatitis C virusNS-5 protein, hepatitis C virusRNA-Dependent RNA PolymeraseRNA, ViralViral Envelope ProteinsViral Nonstructural Proteins

Identifiers

PMID23986603
PMCPMC3807907

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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.