Evidence map›Paper›PMID 36398072›Full record

ArticleComputational and mathematical methods in medicine2022

Identification of the Potential Molecular Mechanism of

Yao-Zong Guan, Hao Liu, Huan-Jie Huang, Dong-Yan Liang, Si-Ying Wu, Tang Zhang

Open access · hybridAbstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

6 authors at 1 institution in 1 country.

Yao-Zong GuanDepartment of Cardiology, Second Affiliated Hospital of Guangxi Medical University, Nanning, 530007 Guangxi, China.ORCID https://orcid.org/0000-0002-0160-8523
Hao LiuDepartment of Cardiology, Second Affiliated Hospital of Guangxi Medical University, Nanning, 530007 Guangxi, China.ORCID https://orcid.org/0000-0002-4105-8474
Huan-Jie HuangDepartment of Cardiology, Second Affiliated Hospital of Guangxi Medical University, Nanning, 530007 Guangxi, China.
Dong-Yan LiangDepartment of Cardiology, Second Affiliated Hospital of Guangxi Medical University, Nanning, 530007 Guangxi, China.
Si-Ying WuDepartment of Cardiology, Second Affiliated Hospital of Guangxi Medical University, Nanning, 530007 Guangxi, China.
Tang ZhangDepartment of Cardiology, Second Affiliated Hospital of Guangxi Medical University, Nanning, 530007 Guangxi, China.
Guangxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Transforming growth factor beta-induced protein (TGFBI, encoded by Methods: The microarray dataset of GSE115574 was examined to detect the genes coexpressed with Results: In GSE115574 dataset, a total of 1818 coexpression genes (769 positive and 1049 negative) were identified, enriched in 120 biological processes (BP), 38 cellular components (CC), 36 molecular functions (MF), and 39 KEGG pathways. A PPI-network with average 12.2-degree nodes was constructed. The genes clustered in the top module constructed from this network mainly play a role in PI3K-Akt signaling pathway, viral myocarditis, inflammatory bowel disease, and platelet activation. Conclusions: We used microdataset to identify the potential functions and mechanisms of the

Indexed as

Atrial FibrillationMyocarditisGene Expression ProfilingHumansMatrix Metalloproteinase 2Peptides, CyclicPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktMatrix Metalloproteinase 2pegcetacoplanPeptides, CyclicPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-akt

Identifiers

PMID36398072
PMCPMC9666036
OpenAlexW4308507509

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.