Evidence map›Paper›PMID 37794429›Full record

ArticleEuropean journal of medical research2023

Coronary slow flow research: a bibliometric analysis.

Jing Tong, Gui-Guang Bei, Li-Bo Zhang, Ben-Qiang Yang

Abstract read
In one paragraph

Article in European journal of medical research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

4 authors.

Jing TongDepartment of Radiology, General Hospital of Northern Theater Command, 83 Wenhua Road, Shenyang, 110016, Liaoning, China.
Gui-Guang BeiDepartment of Radiology, General Hospital of Northern Theater Command, 83 Wenhua Road, Shenyang, 110016, Liaoning, China.
Li-Bo ZhangDepartment of Radiology, General Hospital of Northern Theater Command, 83 Wenhua Road, Shenyang, 110016, Liaoning, China.
Ben-Qiang YangDepartment of Radiology, General Hospital of Northern Theater Command, 83 Wenhua Road, Shenyang, 110016, Liaoning, China. bqyang888@sina.com.ORCID http://orcid.org/0000-0001-8609-3655

Funding

Doctoral Scientific Research Start-Up Foundation of Liaoning Province 2022010609-JH3/101Natural Science Foundation of Liaoning Province 2018225024
6 · The paper itself

Abstract

backgroundStudies on coronary slow flow are receiving increasing attention, but objective evaluations are still lacking. The purpose of this study was to visualize the current status and research hotspots of coronary slow flow through bibliometric analysis.

methodsAll relevant publications on coronary slow flow from 2003 to 2022 were extracted from the Web of Science Core Collection database and analyzed by VOSviewer and CiteSpace visualization software. Year of publication, journal, country/region, institution, and first author of each paper, as well as research hotspots were identified.

resultsA total of 913 publications were retrieved. The journal with the most publications was Coronary Artery Disease. The country/region with the most publications was Turkey, followed by China and the United States. The institution with the largest publication volume was Turkey Specialized Higher Education Research Hospital. The author with the largest publication volume was Chun-Yan Ma from China. Keyword analysis indicated that "treatment and prognosis", "pathogenesis and risk factors" and "diagnosis" were the clustering centers of coronary slow flow, and the research hotspots gradually changed with time, from pathogenesis to treatment and prognosis.

conclusionFuture research will focus on the search for effective and non-invasive detection indicators and treatments of coronary slow flow. Collaboration needs to be enhanced between different institutions or countries/regions, which would improve clinical outcomes for patients with coronary slow flow.

Indexed as

BibliometricsCoronary Artery DiseaseChinaHospitalsHumansRisk FactorsBibliometricsCoronary slow flowResearch hotspots

Identifiers

PMID37794429
PMCPMC10548595

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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.