Evidence map›Paper›PMID 33100122›Full record

ArticleInnate immunity2020

Identification of key genes and novel immune infiltration-associated biomarkers of sepsis.

Chao Xu, Jianbo Xu, Ling Lu, Wendan Tian, Jinling Ma, Meng Wu

Open access · goldAbstract read
In one paragraph

Article in Innate immunity, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

29 citing papers in PubMed, 45 citations in OpenAlex.

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  11. Immune-Related MoleculesInternational journal of molecular sciences · 2024
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  19. Inhibition of TXNDC5 attenuates lipopolysaccharide-induced septic shock by altering inflammatory responses.Laboratory investigation; a journal of technical methods and pathology · 2022
    Article
  20. 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 2 institutions in 1 country.

Chao XuDepartment of Neurology and Respirator Intensive Care Unit, Heilongjiang Provincial Hospital, PR China.
Jianbo XuDepartment of Intensive Care Unit, First Affiliated Hospital of Jiamusi University, PR China.
Ling LuDepartment of Neurology and Respirator Intensive Care Unit, Heilongjiang Provincial Hospital, PR China.
Wendan TianDepartment of Neurology and Respirator Intensive Care Unit, Heilongjiang Provincial Hospital, PR China.
Jinling MaDepartment of Neurology and Respirator Intensive Care Unit, Heilongjiang Provincial Hospital, PR China.
Meng WuDepartment of Neurology and Respirator Intensive Care Unit, Heilongjiang Provincial Hospital, PR China.ORCID 0000-0002-2437-4993
Heilongjiang Provincial Hospital · CNFirst Affiliated Hospital of Jiamusi University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sepsis is the major cause of mortality in the intensive care unit. The aim of this study was to identify the key prognostic biomarkers of abnormal expression and immune infiltration in sepsis. In this study, a total of 36 differentially expressed genes were identified to be mainly involved in a number of immune-related Gene Ontology terms and Kyoto Encyclopedia of Genes and Genomes pathways. The hub genes (

Indexed as

BiomarkersB-LymphocytesCCAAT-Enhancer-Binding Protein-betaCell MovementComputational BiologyGene OntologyGene Regulatory NetworksHumansImmunityKiller Cells, NaturalMatrix Metalloproteinase 9PrognosisReceptors, ComplementSepsisT-Lymphocytes, Helper-InducerBiomarkersCCAAT-Enhancer-Binding Protein-betaCEBPB protein, humancomplement C3a receptorMatrix Metalloproteinase 9Receptors, ComplementCIBERSORTimmune infiltrationkey biomarkersSepsisWGCNA

Identifiers

PMID33100122
PMCPMC7787554
OpenAlexW3093872367

What OpenQuestion holds

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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.