Evidence map›Paper›PMID 27031514›Full record

ArticlePloS one2016

The Spatial Distribution of Plaque Vulnerabilities in Patients with Acute Myocardial Infarction.

Guian Zheng, Yuxin Li, Tadateru Takayama, Toshihiko Nishida, Mitsumasa Sudo, Hironori Haruta, Daisuke Fukamachi, Kimie Okubo, Yoshiharu Higuchi, Takafumi Hiro and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Invasive coronary angiography findings across the CAD-RADS classification spectrum.The international journal of cardiovascular imaging · 2019
    Article
  4. Observational
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

12 authors at 2 institutions in 2 countries.

Guian ZhengDepartment of Advanced Cardiovascular Imaging, Nihon University School of Medicine, Tokyo, 173-8610, Japan.
Yuxin LiDepartment of Advanced Cardiovascular Imaging, Nihon University School of Medicine, Tokyo, 173-8610, Japan.
Tadateru TakayamaDepartment of Advanced Cardiovascular Imaging, Nihon University School of Medicine, Tokyo, 173-8610, Japan.
Toshihiko NishidaDivision of Cardiology, Department of Medicine, Nihon University School of Medicine, Tokyo, 173-8610, Japan.
Mitsumasa SudoDivision of Cardiology, Department of Medicine, Nihon University School of Medicine, Tokyo, 173-8610, Japan.
Hironori HarutaDivision of Cardiology, Department of Medicine, Nihon University School of Medicine, Tokyo, 173-8610, Japan.
Daisuke FukamachiDivision of Cardiology, Department of Medicine, Nihon University School of Medicine, Tokyo, 173-8610, Japan.
Kimie OkuboDivision of Cardiology, Department of Medicine, Nihon University School of Medicine, Tokyo, 173-8610, Japan.
Yoshiharu HiguchiDivision of Cardiology, Department of Medicine, Nihon University School of Medicine, Tokyo, 173-8610, Japan.
Takafumi HiroDepartment of Advanced Cardiovascular Imaging, Nihon University School of Medicine, Tokyo, 173-8610, Japan.
Satoshi SaitoDepartment of Advanced Cardiovascular Imaging, Nihon University School of Medicine, Tokyo, 173-8610, Japan.
Atsushi HirayamaDepartment of Advanced Cardiovascular Imaging, Nihon University School of Medicine, Tokyo, 173-8610, Japan.
Nihon University · JPZhangzhou Municipal Hospital of Fujian Province · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAlthough the plaque characteristics have been recognized in patients with acute myocardial infarction (AMI), the plaque spatial distribution is not well clarified. Using color-mapping intravascular ultrasound (iMAP-IVUS), we examined culprit lesions to clarify plaque morphology, composition and spatial distribution of the sites of potential vulnerability.

methodsSixty-eight culprit lesions in 64 consecutive AMI patients who underwent angiography and IVUS examinations before intervention were analyzed. Plaque morphology and composition were quantified with iMAP-IVUS. The spatial distribution of the sites of potential vulnerability was assessed with longitudinal reconstruction of the consecutive IVUS images. The plaque characteristics were also compared between ruptured and non-ruptured lesions, and between totally occlusive (TO) and non-TO lesions.

resultsThe sites with maximum necrotic area (maxNA), maximum plaque burden (maxPB) and most severely narrowed (minimal luminal area, MLA) were recognized vulnerability. In the majority of cases, maxNA sites were proximal to the maxPB sites, and MLA sites were distal to the maxNA and maxPB sites. Ruptures usually occurred close to maxNA sites and proximal to maxPB and MLA sites. The average distance from the site of rupture to the maxNA site was 0.33 ± 4.04 mm. Ruptured lesions showed significant vessel remodeling, greater plaque volume, and greater lipidic volume compared to those of non-ruptured lesions. Both the length and plaque burden (PB) of TO lesions were greater than those of non-TO lesions.

conclusionsInstead of overlapping on maxPB sites, most maxNA sites are proximal to the maxPB sites and are the sites most likely to rupture. Plaque morphology and composition play critical roles in plaque rupture and coronary occlusion.

Indexed as

AgedCoronary AngiographyCoronary VesselsFemaleHumansMaleMiddle AgedMyocardial InfarctionPlaque, AtheroscleroticRetrospective StudiesUltrasonography, Interventional

Identifiers

PMID27031514
PMCPMC4816424
OpenAlexW2333129954

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.