Evidence map›Paper›PMID 30481877›Full record

ArticleZhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology2018

[Genes and molecular mechanisms affecting the correlation between liver cancer and diabetes mellitus].

Y Yang, B H Zhang, J P Gong

Open access · greenAbstract read
In one paragraph

Article in Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 49% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. [Glucose-6 phosphatase catalytic subunit inhibits the proliferation of liver cancer cells by inducing cell cycle arrest].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2022
    Article
  2. Patterns of Comorbidity in Hepatocellular Carcinoma: A Network Perspective.International journal of environmental research and public health · 2020
    Article
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

3 authors at 2 institutions in 1 country.

Y YangChongqing Zhongxian City Hospital, Zhongxian Chongqing 400430, China.
B H ZhangKey Laboratory of Hepatobiliary Surgery and Department of Hepatobiliary Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China.
J P GongKey Laboratory of Hepatobiliary Surgery and Department of Hepatobiliary Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China.
Dalian Medical University · CNZhongshan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is a common and high incidence disease in China. It is presently thought that diabetes is one of the independent risk factor for HCC. Diabetes and liver cancer are closely related, but the relationship and mechanism of diabetes and liver cancer are quite complex and controversial. Insulin resistance, glucose metabolism and lipid metabolism disorders, and abnormal release of inflammatory mediators are the common bases of these two diseases. The molecular mechanisms of glycogen synthase kinase-3, toll like receptor 4, CCL5, CXCL14 and NCOA5, TCF7L2 genes affecting the correlation between liver cancer and diabetes mellitus are discussed and explained to provide the basis for the study and treatment of disease.

Indexed as

Carcinoma, HepatocellularDiabetes Mellitus, Type 2Liver NeoplasmsAdultChinaHumansInsulin ResistanceCarcinoma, hepatocellularDiabetes mellitusGene

Identifiers

PMID30481877
PMCPMC12769505
OpenAlexW3024902057

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.