ArticleZhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences2015
[Distribution of HCV genotypes in Chinese Han population with chronic hepatitis C].
Article in Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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Who cites it
1 citing paper in PubMed, 1 citations in OpenAlex.
- Hepatitis C virus genotypes and subtypes circulating in Mainland China.Emerging microbes & infections · 2017Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo investigate the distribution of HCV genotypes in Chinese Han population with chronic hepatitis C (CHC).
methodsThis randomized multicenter study included 1 014 CHC patients from 28 hospitals in different regions of China. SPSS 20.0 was applied to analyze the relationship among region, HCV genotype, gender and the replication level of HCV-RNA.
resultsHCV 1 genotype (56.80%) was the most common genotype. The majority of CHC patients were of genotype 1, 2, 3, 6 in the order of frequency, except those in southwestern, southern and central China. HCV 1, 2, 3, 6 genotypes were most common among male patients in southern China; among female patients in northern China; among male patients in northern and northwestern China and among male patients in northwestern China, respectively (all P <0.05). There was no statistical significance between different genders in other regions. The high viral load was more common than the low viral load among HCV 1, 2, 3, 6 genotype-infected patients.
conclusionThere are different distributions of HCV genotypes among the different regions. In addition, HCV genotypes are correlated with gender and HCV-RNA load.
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