Evidence map›Paper›PMID 36468029›Full record

ArticleFrontiers in genetics2022

Identification of susceptibility modules and hub genes of osteoarthritis by WGCNA analysis.

Yanchao Wang, Wenjun Zhou, Yan Chen, Dong He, Zhen Qin, Zhao Wang, Song Liu, Lei Zhou, Jianwen Su, Chi Zhang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

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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

10 authors at 4 institutions in 1 country.

Yanchao WangDepartment of Obstetrics and Gynecology, Key Laboratory for Major Obstetric Diseases of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Wenjun ZhouDepartment of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, China.
Yan ChenDepartment of Clinical Laboratory Medicine, the Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Dong HeDepartment of Neurosurgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Zhen QinDepartment of Clinical Laboratory, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China.
Zhao WangDepartment of Orthopedics, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Song LiuDepartment of Orthopedics, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Lei ZhouDepartment of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, China.
Jianwen SuDepartment of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, China.
Chi ZhangDepartment of Orthopedics, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Guangzhou Medical University · CNThird Affiliated Hospital of Guangzhou Medical University · CNAffiliated Hospital of Shandong University of Traditional Chinese Medicine · CNShandong First Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteoarthritis (OA) is a major cause of pain, disability, and social burden in the elderly throughout the world. Although many studies focused on the molecular mechanism of OA, its etiology remains unclear. Therefore, more biomarkers need to be explored to help early diagnosis, clinical outcome measurement, and new therapeutic target development. Our study aimed to retrieve the potential hub genes of osteoarthritis (OA) by weighted gene co-expression network analysis (WGCNA) and assess their clinical utility for predicting OA. Here, we integrated WGCNA to identify novel OA susceptibility modules and hub genes. In this study, we first selected 477 and 834 DEGs in the GSE1919 and the GSE55235 databases, respectively, from the Gene Expression Omnibus (GEO) website. Genes with

Indexed as

hub genesosteoarthritispathway analysisprotein–protein interactionSsGSEAWGCNA

Identifiers

PMID36468029
PMCPMC9718428
OpenAlexW4309459914

What Socratic 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 Socratic graph.