ArticleZhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology2020
[Autophagy in the liver failure].
Article in Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology, 2020. 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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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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1 citing paper in PubMed, 0 citations in OpenAlex.
- [Comparison of serum GP73 and p62 measurement to predict short-term prognosis in patients with HBV-related acute-on-chronic liver failure].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2021Article
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5 authors at 1 institution in 1 country.
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Abstract
Liver failure is a severe liver disease syndrome, with massive or sub-massive liver tissues necrosis, and it develops rapidly, with poor clinical prognosis and high mortality. In recent years, autophagy role in the liver failure has received increasing attention. The study of the role of regulatory mechanism of autophagy is of great significance for the in-depth study of the prevention and treatment of liver failure. Based on the research progress of liver failure at home and abroad, this paper explores and summarizes the relationship between autophagy with necrosis and apoptosis, as well as the mechanism and expression level of autophagy in each stage of liver failure, with hope to provide reference for the in-depth research and clinical treatment of liver failure.
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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.