Evidence map›Paper›PMID 28963687›Full record

ArticleEuropean radiology2018

Prognostic value of coronary atherosclerosis progression evaluated by coronary CT angiography in patients with stable angina.

Hui Gu, Yang Gao, Zhihui Hou, U Joseph Schoepf, Alan N Snyder, Taylor M Duguay, Ximing Wang, Bin Lu

Abstract read
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In one paragraph

Article in European radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

12 citing papers in PubMed, 24 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 3 institutions in 2 countries.

Hui GuDepartment of CT, Shandong Provincial Key Laboratory of Diagnosis and Treatment of Cardio-Cerebral Vascular Diseases, Shandong Medical Imaging Research Institute, Shandong University, #324, Jingwu Road, Jinan, Shandong, 250021, China.
Yang GaoDepartment of Radiology, Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, National Centre for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, #167 Bei-Li-Shi Street, Xi-Cheng District, Beijing, 100037, China.
Zhihui HouDepartment of Radiology, Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, National Centre for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, #167 Bei-Li-Shi Street, Xi-Cheng District, Beijing, 100037, China.
U Joseph SchoepfDivision of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, 25 Courtenay Drive, Charleston, SC, 29403, USA.
Alan N SnyderDivision of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, 25 Courtenay Drive, Charleston, SC, 29403, USA.
Taylor M DuguayDivision of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, 25 Courtenay Drive, Charleston, SC, 29403, USA.
Ximing WangDepartment of CT, Shandong Provincial Key Laboratory of Diagnosis and Treatment of Cardio-Cerebral Vascular Diseases, Shandong Medical Imaging Research Institute, Shandong University, #324, Jingwu Road, Jinan, Shandong, 250021, China. wangximing_369@sina.com.
Bin LuDepartment of Radiology, Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, National Centre for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, #167 Bei-Li-Shi Street, Xi-Cheng District, Beijing, 100037, China. bluvip@126.com.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNMedical University of South Carolina · USShandong University · CN

Funding

National Natural Science Foundation of China 81171343National Natural Science Foundation of China 81571672the key special Grant of Chinese Government 2007BAI05B02the key special Grant of Chinese Government 2016YFC1300400the National Natural Science Foundation of China 81371548
6 · The paper itself

Abstract

objectivesTo investigate the progression of coronary atherosclerosis burden by coronary CT angiography (CCTA) and to demonstrate its association with the incidence of major adverse cardiac events (MACE).

methodsWe retrospectively studied patients with stable angina who had undergone repeat CCTA due to recurrent or worsening symptoms. Lipid-rich, fibrous, calcified and total plaque burden as well as coronary diameter stenosis were quantitatively analysed. The incidence of MACE during follow-up was determined.

resultsThe final cohort consisted of 268 patients (mean age 52.9 ± 9.8 years, 71 % male) with a mean follow-up period of 4.6 ± 0.9 years. Patients with lipid-rich, fibrous, calcified and total plaque burden (%) progression, as well as coronary diameter stenosis (%) progression had a significantly higher incidence of MACE than those without (all p < 0.05). The progression of lipid-rich plaque (HR = 1.601, p = 0.021), total plaque burden (HR = 2.979, p = 0.043) and coronary diameter stenosis (HR = 4.327, p <0.001) were independent predictors of MACE (all p < 0.05).

conclusionsPatients presenting with recurrent or worsening symptoms associated with coronary artery disease who have coronary atherosclerosis progression on CCTA are at an increased risk of future MACE. KEY POINTS: • Repeat CCTA can provide information regarding the progression of coronary atherosclerosis. • Coronary atherosclerosis progression at CCTA is independently associated with MACE. • CCTA findings could serve as incremental predictors of MACE.

Indexed as

AdultAgedAngina, StableCohort StudiesComputed Tomography AngiographyCoronary AngiographyCoronary Artery DiseaseCoronary StenosisDisease ProgressionFemaleFollow-Up StudiesHumansKaplan-Meier EstimateMaleMiddle AgedPlaque, AtheroscleroticCoronary artery diseaseCoronary atherosclerosisMajor adverse cardiac eventsProgressionRepeat coronary CT angiography

Identifiers

PMID28963687
OpenAlexW2759219652

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.