Evidence map›Paper›PMID 34580597›Full record

ArticleComputational and mathematical methods in medicine2021

Analysis of Serum Interleukin-37 Level and Prognosis in Patients with ACS.

Canjun Liu, Yancui Cui, Dan Zhang, Xiao Tian, Hongyan Zhang

Open access · hybridAbstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 42% of its field
1 · What the graph read from it

What it found

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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.

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Interleukin-1 in Coronary Artery Disease.Current topics in medicinal chemistry · 2022
    Article
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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

5 authors at 1 institution in 1 country.

Canjun LiuDepartment of No. 2 Cardiology, The Third Affiliated Hospital of Qiqihar Medical University, China.
Yancui CuiDepartment of No. 5 Cardiology, The Third Affiliated Hospital of Qiqihar Medical University, China.
Dan ZhangDepartment of No. 5 Cardiology, The Third Affiliated Hospital of Qiqihar Medical University, China.
Xiao TianDepartment of No. 5 Cardiology, The Third Affiliated Hospital of Qiqihar Medical University, China.
Hongyan ZhangDepartment of No. 5 Cardiology, The Third Affiliated Hospital of Qiqihar Medical University, China.ORCID https://orcid.org/0000-0002-0836-4912
Qiqihar Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the level of serum interleukin-37 in patients with acute coronary syndrome (ACS) and its prognostic value.

methodsAltogether, 121 continuous ACS cases from September 2017 to June 2020 were selected as the research group (RG), and 107 healthy individuals during the same period were obtained as the control group (CG). ELISA was applied to test IL-37 in the serum of the CG and the RG. Chemiluminescence immunoassay was applied to test NT-pro BNP and hs-cTnI in each group and immune scattering turbidimetry to test hs-CRP. The correlation of IL-37 with serum NT-pro BNP, hs-cTnI, and CRP was analyzed, and the value of IL-37 in diagnosis and prognosis prediction of patients with ACS was tested. Logistic regression was applied to test the independent risk factors affecting poor prognosis of patients with ACS.

resultsIL-37 was poorly expressed in patients with ACS, which had a high diagnostic value for ACS (sensitivity: 94.39%, specificity: 74.38%, and area under curve: 0.945). There was a negative correlation of IL-37 with serum NT-pro BNP, hs-cTnI, and CRP. IL-37 in patients with poor prognosis was markedly declined compared with that of patients with good prognosis, and the predicted AUC was 0.965. Logistic regression revealed that low IL-37, diabetes, high CRP, NT-pro BNP, and hs-cTnI in the blood were independent risk factors for poor prognosis in patients with ACS.

conclusionIL-37 is low expressed in patients with ACS, which has a good diagnostic and prognostic value for ACS, and may be applied as an important marker for the prediction of patients with ACS.

Indexed as

Acute Coronary SyndromeAgedBiomarkersCase-Control StudiesComputational BiologyC-Reactive ProteinEnzyme-Linked Immunosorbent AssayFemaleHumansInterleukin-1Luminescent MeasurementsMaleMiddle AgedNatriuretic Peptide, BrainPeptide FragmentsPrognosisBiomarkersC-Reactive ProteinIL37 protein, humanInterleukin-1Natriuretic Peptide, BrainPeptide Fragmentspro-brain natriuretic peptide (1-76)Troponin I

Identifiers

PMID34580597
PMCPMC8464428
OpenAlexW3199685034

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