Evidence map›Paper›PMID 33371125›Full record

ArticleMedicine2020

The relationship between quantitative epicardial adipose tissue based on CT and coronary artery disease: A protocol for systematic review and meta-analysis.

Baohua Wu, Zhuanqin Ren, Zhengang Du, Lei Zhang, Bin Hou

Abstract read
In one paragraph

Article in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

5 authors.

Baohua WuBaoji Central Hospital, Baoji 721000, Shaanxi Province.
Zhuanqin RenBaoji Central Hospital, Baoji 721000, Shaanxi Province.
Zhengang DuGansu gem flower hospital, Lanzhou 730060, Gansu Province.
Lei ZhangBaoji hi-tech people's hospital, Baoji 721013, Shaanxi Province, China.
Bin HouGansu gem flower hospital, Lanzhou 730060, Gansu Province.ORCID 0000-0001-7571-6757

Funding

the Research project of Gansu Administration of Traditional Chinese Medicine No. CZK-2012-22
6 · The paper itself

Abstract

backgroundEpicardial adipose tissue (EAT) is a kind of visceral adipose tissue with close proximity to coronary artery and myocardium, which can secrete cell factor, and influence the physiological function and pathophysiological process of myocardium and coronary artery. Clinical imaging diagnosis showed that the volume and thickness of EAT exists a certain relevance with coronary artery disease, but it lacked evidence of evidence-based medicine. The research on the implementation of this program will systematically evaluate the relationship of computed tomography (CT) quantitative EAT and coronary artery disease.

methodThe English databases (Embase, PubMed, the Cochrane Library, Web of Science) and Chinese database (CNKI, Wanfang, China biomedical database, VIP) of computer retrieval has collected the case control clinical study of relationship between EAT and coronary artery disease from the establishment of the database to October 2020, which was conducted extraction and quality evaluation by 2 researchers independently for data included in the study, and was conducted Meta-analysis for the included literature by adopting RevMan5.3 software.

resultThe research evaluated the correlation between EAT and coronary artery disease through the EAT thickness, EAT volume, and other indexes.

conclusionThe research has provided reliable evidence-based evidence for the correlation between CT EAT quantification and coronary artery disease. ETHICS AND DISSEMINATION: We will not publish private information from individuals. This kind of systematic review does not involve harming the rights of participants. No ethical approval was required. The results can be published in peer-reviewed journals or at relevant conferences. OSF REGISTRATION NUMBER: DOI 10.17605/OSF.IO/DVQNE.

Indexed as

Adipose TissueCase-Control StudiesCoronary Artery DiseaseHumansMeta-Analysis as TopicPericardiumResearch DesignSystematic Reviews as TopicTomography, X-Ray Computed

Identifiers

PMID33371125
PMCPMC7748182

What OpenQuestion holds

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Registered trials

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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.