Evidence map›Paper›PMID 34225440›Full record

ReviewZhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology2021

[Research progress of omics biomarkers for nonalcoholic fatty liver disease].

L Wang, X E Liu, H Zhuang

Open access · greenAbstract readReview
In one paragraph

Review in Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology, 2021. 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
0.2field-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, 2 citations in OpenAlex.

  1. Article
  2. [Research progress of single-cell sequencing technology in liver diseases].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2023
    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 1 institution in 1 country.

L WangDepartment of Microbiology and Center of Infectious Diseases, Peking University Health Science Center, Beijing 100191, China.
X E LiuDepartment of Microbiology and Center of Infectious Diseases, Peking University Health Science Center, Beijing 100191, China.
H ZhuangDepartment of Microbiology and Center of Infectious Diseases, Peking University Health Science Center, Beijing 100191, China.
Peking University · CN

Funding

"Thirteenth Five-Year Plan" National Science and Technology Major Projects 2018ZX10732401-003-015
6 · The paper itself

Abstract

Nonalcoholic fatty liver disease (NAFLD) is one of the most common chronic liver diseases worldwide and it includes simple fatty liver disease (NAFL), nonalcoholic steatohepatitis (NASH), liver cirrhosis, and hepatocellular carcinoma-related NASH. The degree of hepatic necrotizing inflammation and fibrosis is closely related to the long-term prognosis of NAFLD patients. Therefore, early monitoring of disease progression and intervention are of great significance. Liver biopsy, as an invasive test, has always been the gold standard for the diagnosis of NAFLD; however, it is not easy to carry out widely in clinical practice. With the development of omics-related research technologies, the potential application value of omics biomarkers such as genomics, transcriptomics, proteomics, glycomics, metabolomics, and so on in the diagnosis of NAFLD has gradually emerged. This review mainly summarizes the research progress of omics biomarkers for NAFLD.

Indexed as

Liver NeoplasmsNon-alcoholic Fatty Liver DiseaseBiomarkersDisease ProgressionHumansLiverLiver CirrhosisBiomarkersLiver fibrosisNon-alcoholic fatty liverNon-alcoholic fatty liver diseaseNon-alcoholic steatohepatitisOmics biomarkers

Identifiers

PMID34225440
PMCPMC12814641
OpenAlexW3179649345

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.