ReviewZhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology2022
[Research progress on the detection method of hepatitis D].
Review in Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology, 2022. 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.
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.
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Who cites it
1 citing paper in PubMed, 0 citations in OpenAlex.
- [Analysis of the prevalence status and clinical characteristics of the hepatitis D virus in the Xinjiang region].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2025Article
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Authors and funding
2 authors at 2 institutions in 1 country.
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Abstract
Hepatitis D is a liver disease caused by the simultaneous or superinfection of hepatitis B and D viruses, which can lead to severe liver disease, increase the risk of liver decompensation, and even increase the patient's mortality rate. At present, although various studies have provided a certain degree of understanding of hepatitis D, the prevalence, detection methods, diagnosis, and treatment methods still face significant challenges. Accurate detection of hepatitis D is the basis for determining the disease's prevalence and formulating a treatment strategy. Therefore, efficient and accurate detection methods have been in widespread demand. This article provides a brief overview of the research into the laboratory detection method of the hepatitis D virus in an effort to aid in the diagnosis and treatment.
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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.