Evidence map›Paper›PMID 35971449›Full record

ArticleBioMed research international2022

Exploration of the Shared Gene Signatures between Myocardium and Blood in Sepsis: Evidence from Bioinformatics Analysis.

Qi Long, Gang Li, Qiufen Dong, Min Wang, Jing Li, Liulin Wang

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 6 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

6 authors at 1 institution in 1 country.

Qi LongDepartment of Critical Care Medicine, Hubei Province Hospital of Traditonal Chinese Medicine, 856 Luoyu Street, Wuhan, Hubei 430061, China.ORCID https://orcid.org/0000-0003-1252-8075
Gang LiDepartment of Critical Care Medicine, Hubei Province Hospital of Traditonal Chinese Medicine, 856 Luoyu Street, Wuhan, Hubei 430061, China.ORCID https://orcid.org/0000-0002-3382-5258
Qiufen DongDepartment of Critical Care Medicine, Hubei Province Hospital of Traditonal Chinese Medicine, 856 Luoyu Street, Wuhan, Hubei 430061, China.ORCID https://orcid.org/0000-0001-8919-0864
Min WangDepartment of Critical Care Medicine, Hubei Province Hospital of Traditonal Chinese Medicine, 856 Luoyu Street, Wuhan, Hubei 430061, China.ORCID https://orcid.org/0000-0003-2964-4670
Jing LiDepartment of Critical Care Medicine, Hubei Province Hospital of Traditonal Chinese Medicine, 856 Luoyu Street, Wuhan, Hubei 430061, China.ORCID https://orcid.org/0000-0002-9428-7107
Liulin WangDepartment of Critical Care Medicine, Hubei Province Hospital of Traditonal Chinese Medicine, 856 Luoyu Street, Wuhan, Hubei 430061, China.ORCID https://orcid.org/0000-0003-3770-6974
Hubei Provincial Women and Children's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Septic cardiomyopathy is widespread during sepsis and has adverse effects on mortality. Diagnosis of septic cardiomyopathy now mainly depends on transthoracic echocardiogram. Although some laboratory tests such as troponin T and atrial brain natriuretic peptide play a role in the diagnosis, specific blood biochemistry biomarkers are still lacking. Results: By defining significance for genes using Student's Conclusion: We have identified genes that have the potential to become biomarkers for septic cardiomyopathy. Additionally, the pathophysiological changes in the myocardium of patients with sepsis were also reflected in peripheral blood to some extent. The co-occurring pathological processes can affect the prognosis of sepsis.

Indexed as

CardiomyopathiesSepsisBiomarkersChromosomal Proteins, Non-HistoneComputational BiologyGene Expression ProfilingHumansMyocardiumBiomarkersChromosomal Proteins, Non-HistoneSmu1 protein, human

Identifiers

PMID35971449
PMCPMC9375705
OpenAlexW4290052935

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.