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[Early diagnosis and predictive model for hepatitis B virus-related hepatocellular carcinoma]. | LitMetric

[Early diagnosis and predictive model for hepatitis B virus-related hepatocellular carcinoma].

Zhonghua Gan Zang Bing Za Zhi

Department of Infectious Diseases, the Third Affiliated Hospital of Hebei Medical University, Shijiazhuang 050051, China.

Published: June 2022

AI Article Synopsis

  • Most hepatocellular carcinoma cases are often detected late, leading to high death rates, so early diagnosis is crucial for better patient outcomes.
  • In recent years, researchers in Asia have developed risk score models specifically for people with chronic hepatitis B to identify those at high risk and enhance early detection.
  • The paper discusses risk factors, evaluates these predictive models, and also reviews how antiviral treatments can impact the likelihood of developing hepatocellular carcinoma.

Article Abstract

Most hepatocellular carcinoma are diagnosed at an advanced stage and thereby have a high mortality rate. Thus, the key to improving patient prognosis is early diagnosis of hepatocellular carcinoma. In recent years, Asian scholars have summarized a series of hepatocellular carcinoma risk score model for population with chronic hepatitis B, which can help to identify high-risk groups early and improve the early diagnosis rate. This paper briefly analyzes the risk factors and validated risk model for early prediction of hepatitis B virus-related hepatocellular carcinoma, and further reviews the effect of antiviral therapy on the risk of hepatocellular carcinoma.

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Source
http://dx.doi.org/10.3760/cma.j.cn501113-20190201-00042DOI Listing

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