Evidence map›Paper›PMID 35040782›Full record

ArticleThe Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology2022

The Biomarkers for Predicting Viral HepatitisAssociated Hepatocellular Carcinoma.

Qing Yang, Changfeng Sun, Yunjian Sheng, Wen Chen, Cunliang Deng

Open access · diamondAbstract read
In one paragraph

Article in The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 34% of its field
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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
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

5 authors at 1 institution in 1 country.

Qing YangDepartment of Infectious Diseases, Affiliated Hospital of Southwest Medical University, LuZhou, SiChuan, China.
Changfeng SunDepartment of Infectious Diseases, Affiliated Hospital of Southwest Medical University, LuZhou, SiChuan, China.
Yunjian ShengDepartment of Infectious Diseases, Affiliated Hospital of Southwest Medical University, LuZhou, SiChuan, China.
Wen ChenDepartment of Infectious Diseases, Affiliated Hospital of Southwest Medical University, LuZhou, SiChuan, China.
Cunliang DengDepartment of Infectious Diseases, Affiliated Hospital of Southwest Medical University, LuZhou, SiChuan, China.
Affiliated Hospital of Southwest Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHepatocellular carcinoma (HCC) is the fifth most common cancer in the world, and more than half of the newly diagnosed cases are chronic hepatitis B patients. Due to the lack of specific clinical manifestations, many patients are already at an advanced stage at the time of diagnosis and therefore have missed the best time for treatment. Organs in a pathological state usually secrete specific substances into the blood, which can indirectly indicate the pathological state of the organ, so some biological markers in the blood can be used as a tool to predict the incidence of HCC.

methodsThe Research articles related to HCC were collected by searching PubMed databases with the keywords "hepatocellular carcinoma", "serum biomarker", "hepatitis B", "prediction" and "prognosis", and Additional articles were identified by manual search of references found in the primary articles, followed by a summary and review.

resultsViral hepatitis is the main cause of HCC worldwide, and this phenomenon is particularly prominent in Asian and African populations. A variety of serological markers including M2BPGi, IL-6 and COMP can be used to predict the incidence of long-term HCC in patients. The risk of HCC is dynamic rather than constant, and dynamic detection will help improve prediction accuracy. For hepatitis B patients, HBV DNA load and HBcr Ag are important predictive markers of HCC.

conclusionFor a high-risk population of HCC, early risk prediction is helpful to guide clinical work, and timely adjustments of the screening frequency and treatment plan are helpful to prolong the survival time of HCC patients.

Indexed as

Carcinoma, HepatocellularHepatitis BHepatitis B, ChronicLiver NeoplasmsBiomarkersDNA, ViralHepatitis B virusHumansRisk FactorsViral LoadBiomarkersDNA, Viral

Identifiers

PMID35040782
PMCPMC9128464
OpenAlexW4206798366

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.