Evidence map›Paper›PMID 32621414›Full record

ReviewZhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences2020

[Prognosis of patients with vulnerable plaques indicated by coronary CT angiography].

Zhanlu Li, He Huang, Wenbin Zhang, Min Wang, Guosheng Fu

Open access · greenAbstract readReview
In one paragraph

Review in Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 51% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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.

Zhanlu LiDepartment of Cardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310016, China.
He HuangDepartment of Cardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310016, China.
Wenbin ZhangDepartment of Cardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310016, China.
Min WangDepartment of Cardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310016, China.
Guosheng FuDepartment of Cardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310016, China.
Sir Run Run Shaw Hospital · CNZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the prognosis of patients with vulnerable plaque indicated by coronary CT angiography (CCTA).

methodsTotally 1963 patients underwent CCTA from February 2nd 2015 to September 13th 2015, and 2728 coronary borderline lesions (stenosis of 50%-70%) were detected. Among them 804 patients had vulnerable plaques and 1159 patients had stable plaques. The primary endpoint was major cardiac adverse events (MACE), including cardiac death, acute myocardial infarction and target lesion revascularization.

resultsPatients were followed up for a mean follow-up of 27.4±2.3 months. The incidence of MACE in the vulnerable plaque group was significantly higher than that in the stable plaque group (10.8%vs 2.3%,

conclusionsThis study confirmed the risk of MACE in patients with vulnerable plaque detected by CCTA and the drug treatment may reduce the risk for patients with vulnerable plaque.

Indexed as

Computed Tomography AngiographyCoronary AngiographyPlaque, AtheroscleroticCoronary Artery DiseaseCoronary StenosisHumansInfantPrognosisRisk Factors

Identifiers

PMID32621414
PMCPMC8800673
OpenAlexW3037471972

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.