Evidence map›Paper›PMID 34594129›Full record

ArticleInternational journal of general medicine2021

Step-by-Step Construction of Gene Co-Expression Network Analysis for Identifying Novel Biomarkers of Sepsis Occurrence and Progression.

Xianqiang Yu, Cheng Qu, Lu Ke, Zhihui Tong, Weiqin Li

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of general medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 2 institutions in 1 country.

Xianqiang Yu *Medical School, Southeast University, Nanjing, People's Republic of China.
Cheng Qu *Department of Critical Care Medicine, Jinling Hospital, Medical School of Nanjing University, Nanjing, People's Republic of China.
Lu KeDepartment of Critical Care Medicine, Jinling Hospital, Medical School of Nanjing University, Nanjing, People's Republic of China.
Zhihui TongDepartment of Critical Care Medicine, Jinling Hospital, Medical School of Nanjing University, Nanjing, People's Republic of China.
Weiqin LiMedical School, Southeast University, Nanjing, People's Republic of China.ORCID 0000-0002-8483-6264
Nanjing General Hospital of Nanjing Military Command · CNSoutheast University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSepsis is the leading cause of death in critically ill patients. Although it is well known that the immune system plays a key role in sepsis, exactly how it works remains unknown.

methodsIn our study, we used weighted gene co-expression network analysis (WGCNA) to screen out the immune-related genes that may play a critical role in the process of sepsis.

resultsA total of three sepsis-related hub genes were screened for further verification. Subsequent analysis of immune subtypes suggested their potential predictive effect in the clinic.

conclusionOur study shows that three immune-related genes CHMP1A, MED15 and MGAT1 are important biomarkers of sepsis. The screened genes may help to distinguish normal individuals from patients with different degrees of sepsis.

Indexed as

biomarkergene co-expression networkimmune cellsepsis

Identifiers

PMID34594129
PMCPMC8478343
OpenAlexW3203880720

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.