Evidence map›Paper›PMID 39429962›Full record

ArticleInternational journal of general medicine2024

Assessment of Risk Factors for Coronary Artery Disease and Severity by Coronary Computed Tomography Angiography Imaging.

Huaqiong Wu, Guifen Yang, Shaohua Zhang, Jinxiang Luo, Pei Zhou, Yuhua Chen

Abstract read
In one paragraph

Article in International journal of general medicine, 2024. 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

6 authors.

Huaqiong Wu *Department of Radiodiagnosis, Central War Zone General Hospital of Wuhan, Wuhan, Hubei, People's Republic of China.
Guifen Yang *Department of Internal Medicine-Cardiovascular, Central War Zone General Hospital of Wuhan, Wuhan, Hubei, People's Republic of China.
Shaohua ZhangDepartment of Internal Medicine-Cardiovascular, Central War Zone General Hospital of Wuhan, Wuhan, Hubei, People's Republic of China.
Jinxiang LuoDepartment of Radiodiagnosis, Central War Zone General Hospital of Wuhan, Wuhan, Hubei, People's Republic of China.
Pei ZhouDepartment of Radiodiagnosis, Central War Zone General Hospital of Wuhan, Wuhan, Hubei, People's Republic of China.
Yuhua ChenDepartment of Radiodiagnosis, Central War Zone General Hospital of Wuhan, Wuhan, Hubei, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the correlation between risk factors for coronary stenosis and the degree of coronary artery stenosis based on coronary computed tomography angiography (CCTA). Methods: Two hundred seventy-eight patients with coronary artery disease who received treatment in our hospital between January 2020 and January 2021 were selected as the experimental group, and 100 healthy people who received physical examination in our hospital during the same period were selected as the control group (age and gender matched with the study group). The clinical data and CCTA data of the two groups of patients were collected and compared. Computed tomography fractional flow reserve (FFR Results: The serum total bilirubin (BIL), apolipoprotein A (apoA), low-density lipoprotein cholesterol (LDL-C), uric acid, total cholesterol (TC) and mean platelet volume levels were higher in the experimental group than in the control group ( Conclusion: Triglycerides, LDL-C, uric acid, TC, serum total BIL and apoA are risk factors for coronary artery stenosis that should be closely monitored and receive active intervention in clinical practice.

Indexed as

computed tomography angiographycomputed tomography fractional flow reservecoronary artery stenosiscoronary heart diseaserisk factors

Identifiers

PMID39429962
PMCPMC11488507

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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.