Evidence map›Paper›PMID 35711463›Full record

ArticleFrontiers in immunology2022

Identification of Biomarkers Associated With CD4

Peng Huang, Li Tang, Lu Zhang, Yi Ren, Hong Peng, Yangyang Xiao, Jie Xu, Dingan Mao, Lingjuan Liu, Liqun Liu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

18 citing papers in PubMed, 23 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 2 institutions in 1 country.

Peng HuangDepartment of Pediatrics, The Second Xiangya Hospital of Central South University, Changsha, China.
Li TangDepartment of Pediatrics, The Second Xiangya Hospital of Central South University, Changsha, China.
Lu ZhangDepartment of Pediatrics, The Second Xiangya Hospital of Central South University, Changsha, China.
Yi RenDepartment of Pediatrics, The Second Xiangya Hospital of Central South University, Changsha, China.
Hong PengDepartment of Pediatrics, The Second Xiangya Hospital of Central South University, Changsha, China.
Yangyang XiaoDepartment of Pediatrics, The Second Xiangya Hospital of Central South University, Changsha, China.
Jie XuDepartment of Pediatrics, The Second Xiangya Hospital of Central South University, Changsha, China.
Dingan MaoDepartment of Pediatrics, The Second Xiangya Hospital of Central South University, Changsha, China.
Lingjuan LiuDepartment of Pediatrics, The Second Xiangya Hospital of Central South University, Changsha, China.
Liqun LiuDepartment of Pediatrics, The Second Xiangya Hospital of Central South University, Changsha, China.
Second Xiangya Hospital of Central South University · CNCentral South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Dermatomyositis is an autoimmune disease characterized by damage to the skin and muscles. CD4 Methods: GSE46239, GSE142807, GSE1551, and GSE193276 datasets were downloaded. The WGCNA and CIBERSORT algorithms were performed to identify the most correlated gene module with CD4 Results: In the brown module, 5 key genes (chromosome 1 open reading frame 106 ( Conclusion: The

Indexed as

DermatomyositisMicroRNAsRNA, Long NoncodingBiomarkersCD4-Positive T-LymphocytesGene Expression ProfilingGene Regulatory NetworksHumansT-LymphocytesTranscription FactorsBiomarkersMicroRNAsRNA, Long NoncodingTranscription FactorsbioinformaticsbiomarkersCD4+ T cellsdermatomyositiskey geneWGCNA

Identifiers

PMID35711463
PMCPMC9196312
OpenAlexW4281615312

What OpenQuestion holds

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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.