Evidence map›Paper›PMID 31363878›Full record

ArticleThe international journal of cardiovascular imaging2019

Diagnosis of coronary artery disease in patients with atrial fibrillation using low tube voltage coronary CT angiography with isotonic low-concentration contrast agent.

Yuning Pan, Qiuli Huang, Yingchao Zhu, Xinrong Zou, Huimin Chu, Xianfeng Du, Aijing Li, Shizhong Bu

Abstract read
PubMed Publisher
In one paragraph

Article in The international journal of cardiovascular imaging, 2019. 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
0.1field-weighted citation impact, top 57% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Cardiovascular imaging 2019 in the International Journal of Cardiovascular Imaging.The international journal of cardiovascular imaging · 2020
    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

8 authors at 4 institutions in 1 country.

Yuning PanDepartment of Radiology, Ningbo First Hospital, Ningbo, 305010, Zhejiang Province, People's Republic of China.
Qiuli HuangDepartment of Radiology, Ningbo First Hospital, Ningbo, 305010, Zhejiang Province, People's Republic of China.
Yingchao ZhuDiabetes Research Center, School of Medicine, Ningbo University, 818 Fenghua Road, Jiangbei District, Ningbo, 315211, Zhejiang Province, People's Republic of China.
Xinrong ZouDepartment of Endocrinology, Li Huili Easton Hospital of Ningbo Medical Center, Ningbo, 305040, Zhejiang Province, People's Republic of China.
Huimin ChuDepartment of Cardiology, Ningbo First Hospital, Ningbo, 305010, Zhejiang Province, People's Republic of China.
Xianfeng DuDepartment of Cardiology, Ningbo First Hospital, Ningbo, 305010, Zhejiang Province, People's Republic of China.
Aijing LiDepartment of Radiology, Ningbo No. 2 Hospital, 41 Xibei Road, Haishu District, Ningbo, 305010, Zhejiang Province, People's Republic of China. zheylaj@sina.com.
Shizhong BuDiabetes Research Center, School of Medicine, Ningbo University, 818 Fenghua Road, Jiangbei District, Ningbo, 315211, Zhejiang Province, People's Republic of China. bushizhong@nbu.edu.cn.
Ningbo First Hospital · CNNingbo University · CNNingbo Medical Center Lihuili Hospital · CNNingbo No. 2 Hospital · CN

Funding

Huimin Project of Science and Technology of Ningbo City 2016C51013Natural Science Foundation Project of Ningbo City 2016A610140present study was supported by the Ningbo Science and Technology Innovation Team Program 2014B82002Project of Medical and Health Technology Program in Zhejiang province 2018KY155
6 · The paper itself

Abstract

This prospective study evaluated the image quality and accuracy of coronary computed tomography angiography (CCTA) for diagnosing coronary artery disease (CAD) in patients with atrial fibrillation (AF), in which CCTA used adaptive iterative dose reduction (AIDR) with a low tube voltage and low concentration of isotonic contrast agent. Sixty-eight consecutive patients with AF and suspected CAD were equally and randomly apportioned to two groups and underwent CCTA. In the experimental group, the contrast agent was iodixanol (270 mg I/mL), patients were scanned with 100 kV, and reconstruction was by AIDR. In the conventional scanning (control) group, the contrast agent was iopromide (370 mg I/mL), patients were scanned with 120 kV, and reconstruction was by filtered back projection. The image quality, effective radiation dose (E), and total iodine intake of the groups were compared. Thirty-nine patients with coronary artery stenosis later were given invasive coronary angiography (ICA). The groups were similar with regard to mean CT value, noise, and signal-to-noise and contrast-to-noise ratios. The figure of merit of the experimental group was significantly higher than that of the control group, while the E and total iodine were significantly lower. Using ICA as the diagnostic reference, the groups shared similar sensitivity, specificity, and false positive and false negative rates for diagnosing coronary artery stenosis. For determining CAD in patients with AF, CCTA with isotonic low-concentration contrast agent and low-voltage scanning is a feasible alternative that improves accuracy and reduces radiation dose and iodine intake.

Indexed as

Computed Tomography AngiographyAdultAgedAged, 80 and overAtrial FibrillationContrast MediaCoronary AngiographyCoronary Artery DiseaseCoronary StenosisFeasibility StudiesFemaleHumansIohexolMaleMiddle AgedPredictive Value of TestsContrast MediaiodixanolIohexoliopromideTriiodobenzoic AcidsAtrial fibrillation (AF)Computed tomography (CT)Contrast mediumInvasive coronary angiographyRadiation dose

Identifiers

PMID31363878
OpenAlexW2965288406

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.