Evidence map›Paper›PMID 39971543›Full record

ArticleZhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology2024

[Exploring the harm elimination model with regard to viral hepatitis C in China's western region].

X Wu, Y Yang, Q Cao, L S Gan, G H Wu, D C Cai

Abstract readEnglish Abstract
In one paragraph

Article in Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology, 2024. 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

6 authors.

X WuChongqing Nan'an District Sunshine Health Service Center, Chongqing 400060, China.
Y YangChongqing Nan'an District Sunshine Health Service Center, Chongqing 400060, China.
Q CaoChongqing Nan'an District Sunshine Health Service Center, Chongqing 400060, China.
L S GanChongqing Nan'an District Sunshine Health Service Center, Chongqing 400060, China.
G H WuChongqing Center for Disease Control and Prevention, Chongqing 400707, China.
D C CaiInfectious Diseases Department of the Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China Institute for Viral Hepatitis, Key Laboratory of Molecular Biology for Infectious Diseases, Ministry of Education, Chongqing Medical University, Chongqing 400010, China.

Funding

Chongqing Municipal Science and Health Joint Medical Research Key Projece 2022ZDXM001
6 · The paper itself

Abstract

Hepatitis C virus (HCV) infection, a kind of infectious disease that poses a major threat to human health, has attracted widespread attention worldwide. The prevention and control of hepatitis C are especially challenging in China's western region due to the complexity of the geographical background, the relatively backward economic development level, and the diversity of cultural background. The main purpose of this paper is to deeply explore the harm elimination model for hepatitis C in China's western region through a detailed analysis of the current epidemic status, an in-depth discussion of its harm, and a comprehensive evaluation of prevention and control strategies, combined with the specific characteristics so as to propose a practical elimination model and specific measures. Additionally, we aspire to provide valuable references and concepts for the prevention and control on national scale through these studies recommendations, thereby effectively reducing the threat of the hepatitis C virus to human health..

Indexed as

Hepatitis CChinaDisease EradicationHepacivirusHumans

Identifiers

PMID39971543
PMCPMC12900476

What OpenQuestion holds

Textmetadata
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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.