Evidence map›Paper›PMID 42533205›Full record

ArticleVirus genes2026

Epidemiological trends of HCV subtypes in China.

Leihuan Sun, Leiliang Zhang

Abstract read
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In one paragraph

Article in Virus genes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Leihuan SunDepartment of Clinical Laboratory Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, Shandong, China.
Leiliang ZhangDepartment of Clinical Laboratory Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, Shandong, China. armzhang@hotmail.com.ORCID https://orcid.org/0000-0002-7015-9661

Funding

Joint Innovation Team for Clinical & Basic Research 202409Taishan Scholars Program tstp20221142
6 · The paper itself

Abstract

While China has made notable progress toward the World Health Organization's goal of hepatitis elimination, substantial challenges continue to persist. In recent years, the prevalence of hepatitis C virus (HCV) in China has remained high. Understanding the distribution and trends of HCV genotypes is crucial for effective disease management. This study systematically analyzes the distribution and changes in various HCV subtypes across China, utilizing data from 29,874 cases identified through high-quality detection methods in 123 articles published between 1994 and 2024. Our findings indicate that the five most prevalent HCV subtypes are 1b, 3b, 6a, 2a, and 3a. The 1b subtype is primarily found in Guangdong (26.71%), Heilongjiang (25.16%), Yunnan (8.42%), Guizhou (6.85%) and Hubei (5.52%). The 2a subtype is concentrated in Heilongjiang (55.85%), Guangdong (8.35%) and Yunnan (6.7%), while subtypes 3b, 3a, and 6a are more common in southern provinces such as Yunnan, Guizhou, and Guangdong. Importantly, the distribution of subtypes in Southern and Southwestern China differs significantly from other areas, with genotypes 3 and 6 comprising over 50% of cases. This study highlights the need for ongoing surveillance and targeted strategies in HCV management to adapt to the evolving landscape of viral genotypes in China.

Indexed as

HepacivirusHepatitis CChinaGenotypeHumansPhylogenyPrevalenceChinaGenotypeGeographic distributionHepatitis C virusSubtype

Identifiers

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Registered trials

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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.