Evidence map›Paper›PMID 30152796›Full record

Observational studyAnatolian journal of cardiology2018

Increased glycoprotein acetylation is associated with high cardiac event rates: Analysis using coronary computed tomography angiography.

Lihua An, Qingxu Liu, Haixia Feng, Xueqin Bai, Yan Dang, Chao Li, Zili Yang, Jing Li

Open access · diamondAbstract readObservational Study
In one paragraph

Observational study in Anatolian journal of cardiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 31% 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

6 citing papers in PubMed, 5 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

8 authors at 1 institution in 1 country.

Lihua An
Qingxu Liu
Haixia Feng
Xueqin Bai
Yan Dang
Chao Li
Zili Yang
Jing LiDepartment of Radiology, The Affiliated Hospital of Jining Medical University; Shandong-China. lijingmeical@163.com.
Affiliated Hospital of Jining Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveGlycoprotein acetylation (GlycA), an emerging inflammatory biomarker, has been used as an indicator of cardiovascular disease. Our research aimed to evaluate the correlation between GlycA and coronary artery disease (CAD) using coronary computed tomography angiography (CCTA).

methodsIn the present study, a total of 342 patients were enrolled, and each of them underwent CCTA. The correlation between GlycA and major adverse cardiac events (MACE) was detected via Cox's proportional hazards models. Based on differences in the GlycA level, patients were categorized into three groups (T1, T2, and T3).

resultsCompared with the group with the lowest GlycA level (T1), the group with the highest GlycA level (T3) exhibited stronger atherosclerotic pressure involving the extent of atherosclerotic plaque and risk of obstructive CAD. In addition, the patients in the T3 group had a greater chance of experiencing MACE and higher all-cause mortality than those in the T1 group. Among patients without CAD who underwent CCTA, those with high GlycA levels experienced elevated atherosclerotic stress and heightened risk of MACE compared with those with low GlycA levels.

conclusionThese results suggest that serum GlycA is significantly associated with the long-term clinical results of patients with no known CAD undergoing CCTA. The risks of death and experiencing MACE increase among patients with high GlycA levels.

Indexed as

AcetylationAgedBiomarkersComputed Tomography AngiographyCoronary AngiographyCoronary Artery DiseaseFemaleGlycoproteinsHumansIncidenceInflammationMaleMiddle AgedPlaque, AtheroscleroticProportional Hazards ModelsBiomarkersGlycoproteins

Identifiers

PMID30152796
PMCPMC6237945
OpenAlexW2809764181

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

None linked

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.