Evidence map›Paper›PMID 34093943›Full record

ArticleInternational journal of clinical and experimental pathology2021

Screening of non-alcoholic steatohepatitis (NASH)-related datasets and identification of NASH-related genes.

Ming-Jiang Liu, Hu Jin, Yu-Bing Chen, Jing-Jing Yu, Zhen-Ya Guo, Song-Qing He, Yong-Lian Zeng

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical and experimental pathology, 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
0.6field-weighted citation impact, top 30% 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, 4 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 2 institutions in 1 country.

Ming-Jiang LiuDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University Nanning 530021, Guangxi, China.
Hu JinDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University Nanning 530021, Guangxi, China.
Yu-Bing ChenDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University Nanning 530021, Guangxi, China.
Jing-Jing YuDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University Nanning 530021, Guangxi, China.
Zhen-Ya GuoDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University Nanning 530021, Guangxi, China.
Song-Qing HeDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University Nanning 530021, Guangxi, China.
Yong-Lian ZengDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University Nanning 530021, Guangxi, China.
Guangxi Medical University · CNFirst Affiliated Hospital of GuangXi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-alcoholic steatohepatitis (NASH) is a common liver disease in the western world. The mechanisms behind NASH formation are poorly understood, but there may be multiple targets considering the disease's multifactorial nature. To explore the genes related to the pathogenesis of NASH, we downloaded clinical data and gene expression of NASH patients from the Gene Expression Omnibus database (GEO). We identified 281 genes with a common expression in two NASH-related datasets (GSE89632 and GSE83452), suggesting that they may be related to NASH. Further study showed that

Indexed as

Angptl4Foxo1Non-alcoholic steatohepatitisTtc39B

Identifiers

PMID34093943
PMCPMC8167495
OpenAlexW3168042617

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.