Evidence map›Paper›PMID 28928803›Full record

ArticleExperimental and therapeutic medicine2017

64-Slice spiral double-low CT to evaluate the degree of stenosis and plaque composition in diagnosing coronary artery disease.

Xiao-Rong Feng, Li-Hua Liang, Ju-Fang Wu, Yao-Qiang Chen, Shuang Liang

Open access · diamondAbstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2017. 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
0.6field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Trial
  2. Efficacy of Yangxin Recipe in Combination with Conventional Western Medicine in Treatment of Angina Pectoris of Coronary Heart Disease.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    Trial
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 at 2 institutions in 1 country.

Xiao-Rong FengDepartment of Imaging, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong 518033, P.R. China.
Li-Hua LiangDepartment of Imaging, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong 518033, P.R. China.
Ju-Fang WuDepartment of Imaging, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong 518033, P.R. China.
Yao-Qiang ChenDepartment of Imaging, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong 518033, P.R. China.
Shuang LiangDepartment of Ultrasonography, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong 518033, P.R. China.
Sun Yat-sen University · CNEighth Affiliated Hospital of Sun Yat-sen University

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examined the application of 64-slice spiral double-low computed tomography (CT) to evaluate the degree of coronary artery stenosis. We examined 45 patients with coronary heart disease by 64-slice spiral double-low CT and coronary angiography (CAG) to determine CT accuracy in evaluating coronary artery stenosis. Imaging analysis from 64-slice spiral double-low CT identified 199 segments with coronary stenosis from 45 patients, including 46 segments with mild stenosis, 38 with moderate stenosis and 115 with severe stenosis or artery occlusion. CT analysis agreed with CAG on the identification of the degree of stenosis in 122 segments, with an overall accuracy of 61.3%. The accuracy for serious stenosis or occlusion was the highest at 69.6%. We also found a strong correlation between coronary plaque compositions and the degree of stenosis. Correspondence analysis showed that the presence of soft plaques closely correlated with severe stenosis, whereas mixed plaques closely correlated with moderate stenosis. Overall, 64-slice spiral double-low CT imaging can effectively assess the degree of coronary artery stenosis in patients with coronary heart disease and accurately detect plaque composition. Thus, 64-slice spiral double-low CT imaging can predict the risk of coronary heart disease and the degree of coronary artery stenosis, which is helpful for early diagnosis and treatment of coronary heart disease.

Indexed as

64-slice spiral CTcoronary arterycoronary heart diseaseplaque compositionstenosis degree

Identifiers

PMID28928803
PMCPMC5590039
OpenAlexW2742969111

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.