Evidence map›Paper›PMID 35391790›Full record

ArticleFrontiers in genetics2022

Identification of Novel Biomarkers With Diagnostic Value and Immune Infiltration in Burn Injury.

Sitong Zhou, Kangchun Wang, Jingru Wang, Jia He, Wenlian Zheng, Chengmin Long, Xiaodong Chen, Ronghua Yang

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 43% 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, 2 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

8 authors at 4 institutions in 1 country.

Sitong ZhouDepartment of Dermatology, the First People's Hospital of Foshan, Foshan, China.
Kangchun WangDepartment of Organ Transplantation and Hepatobiliary, the First Affiliated Hospital of China Medical University, Shenyang, China.
Jingru WangDepartment of Burn Surgery and Skin Regeneration, the First People's Hospital of Foshan, Foshan, China.
Jia HeDepartment of Burn Surgery and Skin Regeneration, the First People's Hospital of Foshan, Foshan, China.
Wenlian ZhengGraduate School, Guangdong Medical University, Zhanjiang, China.
Chengmin LongGraduate School, Guangdong Medical University, Zhanjiang, China.
Xiaodong ChenDepartment of Burn Surgery and Skin Regeneration, the First People's Hospital of Foshan, Foshan, China.
Ronghua YangDepartment of Burn and Plastic Surgery, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, China.
First People's Hospital of Foshan · CNGuangdong Medical College · CNChina Medical University · CNSouth China University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Burn injury is an intractable problem in the field of surgery where screening relevant target genes and exploring pathological mechanisms through bioinformatic methods has become a necessity. Herein, we integrated three burn injury mRNA microarray datasets from the Gene Expression Omnibus database to analyze the hub differentially expressed genes (DEGs) between burn injury patient samples and healthy human samples; we conducted multiple functional enrichment analyses and constructed the protein-protein interaction (PPI) network. Finally, we evaluated the immune infiltration in the burn injury microenvironment. A total of 84 intersection DEGs (32 upregulated and 52 downregulated) were screened in burn injury patients

Indexed as

burn injuryCIBERSORTfunctional enrichment analysisimmune infiltrationinflammation

Identifiers

PMID35391790
PMCPMC8981029
OpenAlexW4221085796

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.