Evidence map›Paper›PMID 37426642›Full record

ArticleFrontiers in immunology2023

Exploring the potential common denominator pathogenesis of system lupus erythematosus with COVID-19 based on comprehensive bioinformatics analysis.

Huiqiong Zeng, Yu Zhuang, Xiaojuan Li, Zhihua Yin, Xia Huang, Haiyan Peng

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

6 authors at 3 institutions in 1 country.

Huiqiong ZengDepartment of Rheumatology, Shenzhen Futian Hospital for Rheumatic Diseases, Futian District, Shenzhen, Guangdong, China.
Yu ZhuangDepartment of Rheumatology and Immunology, Huizhou Central People's Hospital, Huizhou, Guangdong, China.
Xiaojuan LiDepartment of Public Health, Shenzhen Hospital of Southern Medical University, Shenzhen, China.
Zhihua YinDepartment of Rheumatology, Shenzhen Futian Hospital for Rheumatic Diseases, Futian District, Shenzhen, Guangdong, China.
Xia HuangDepartment of Xi Yuan Community Health Service Center, The Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, China.
Haiyan PengDepartment of Rheumatology, Shenzhen Futian Hospital for Rheumatic Diseases, Futian District, Shenzhen, Guangdong, China.
Huizhou Central People's Hospital · CNSouthern Medical University Shenzhen Hospital · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Evidences show that there may be a link between SLE and COVID-19. The purpose of this study is to screen out the diagnostic biomarkers of systemic lupus erythematosus (SLE) with COVID-19 and explore the possible related mechanisms by the bioinformatics approach. Methods: SLE and COVID-19 datasets were extracted separately from the NCBI Gene Expression Omnibus (GEO) database. The limma package in Results: A total of 6 common hub genes ( Conclusion: Our research logically identified 6 candidate hub genes that could predict SLE complicated with COVID-19. This work provides a foothold for further study of potential pathogenesis in SLE and COVID-19.

Indexed as

COVID-19Lupus Erythematosus, SystemicCell CycleComputational BiologyGenes, cdcHumansKinesinsKIF15 protein, humanKinesinsbioinformaticsCOVID-19diagnostic biomarkersimmune cells infiltrationsystem lupus erythematosus

Identifiers

PMID37426642
PMCPMC10325730
OpenAlexW4381929899

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.