Evidence map›Paper›PMID 35070372›Full record

ArticleJournal of thoracic disease2021

ELABELA acts as a protective biomarker in patients with atrial fibrillation.

Chunhong Cui, Hongmei Zhou, Jin Xu

Open access · diamondAbstract read
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Article in Journal of thoracic disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 10 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

3 authors at 2 institutions in 1 country.

Chunhong Cui *Zhoupu Hospital, Shanghai University of Medicine and Health Sciences, Shanghai, China.
Hongmei Zhou *Department of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Jin XuDepartment of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Renji Hospital · CNShanghai University of Medicine and Health Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAtrial fibrillation (AF) is the most common type of clinical arrhythmia. An early diagnosis can be beneficial in the prevention of complications, such as heart failure (HF) and stroke. In this study, we revealed that ELABELA (ELA) acts as a protective factor in patients with arrhythmia and could serve as a prognostic marker for AF and its associated complication of HF.

methodsWe tested the expression level of potential biomarkers including matrix metalloproteinase-9 (MMP-9), tissue inhibitor of metalloproteinase-1 (TIMP-1), and ELA with enzyme-linked immunosorbent assay (ELISA) in serum derived from 131 patients (patients with AF =103; patients with paroxysmal supraventricular tachycardia =28). The impact of clinical risk factors and biomarkers on AF occurrence was evaluated using binary logistic analysis.

resultsThe ELA expression level was lower in AF patients than in the negative controls (P<0.0001). Expression of ELA was negatively correlated with brain natriuretic peptide (BNP) expression in all the samples. In the binary logistic analysis, high levels of BNP and lower levels of ELA were significantly associated with an increased risk of AF (P<0.0001) and could be used as prognostic markers for patients with AF.

conclusionsExpression of ELA showed a protective role in AF patients. The ELA level was negatively correlated with BNP levels, which has been shown to predict a high risk of HF independently and consistently. Additionally, lower levels of ELA were associated with a high risk of AF and HF in patients with arrhythmia. KEYWORDS: ELABELA (ELA); matrix metalloproteinase-9 (MMP-9); tissue inhibitor of metalloproteinase-1 (TIMP-1); atrial fibrillation (AF); brain natriuretic peptide (BNP).

Identifiers

PMID35070372
PMCPMC8743407
OpenAlexW4206157609

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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.