Evidence map›Paper›PMID 24481539›Full record

ArticleHeart and vessels2015

Multi-modality imaging for stent edge assessment.

Soe Hee Ann, Kyung Hun Lim, Cai De Jin, Eun-Seok Shin

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Heart and vessels, 2015. 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
0.9field-weighted citation impact, top 26% 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, 3 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

4 authors at 3 institutions in 1 country.

Soe Hee AnnDepartment of Cardiology, Ulsan University Hospital, University of Ulsan College of Medicine, 290-3 Jeonha-dong, Dong-gu, Ulsan, 682-714, South Korea.
Kyung Hun Lim
Cai De Jin
Eun-Seok Shin
Ulsan University Hospital · KRUlsan College · KRUniversity of Ulsan · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optical coherence tomography (OCT) has a sufficiently high resolution to allow assessment of stent edge dissection (ED). The aims of the present study were as follows: (1) evaluation of the frequency of stent ED using OCT; (2) comparison of stent ED detection rates obtained using angiography, intravascular ultrasound (IVUS), and OCT; and (3) IVUS-Virtual Histology (IVUS-VH) evaluation of plaque composition at the site of stent EDs detected by OCT after percutaneous coronary intervention (PCI). Fifty-eight consecutive patients (59 lesions, 100 stent edges) who underwent balloon-expandable stent implantation and post-stent assessment with OCT and IVUS-VH were included. OCT revealed stent ED in 24.0 % (24 of 100) of stent edges after PCI with a balloon-expandable stent. In contrast, ED was detected in only 3.0 % (3 of 100) of stent edges using angiography and 4.0 % (4 of 100) of stent edges using IVUS. Plaque evaluation using IVUS-VH showed that the percent necrotic core (21.2 ± 8.3 vs. 13.4 ± 10.7 %, p = 0.001) and absolute dense calcium (2.9 ± 2.4 vs. 1.3 ± 2.2 mm(3), p = 0.0104) and dense calcium (13.8 ± 9.3 vs. 5.4 ± 5.8 %, p < 0.001) volumes were greater in the ED group than in the non-ED group. Thus, OCT is superior to conventional coronary angiography and IVUS in the identification of stent ED. In addition, the plaque composition at the ED site is characterized by a necrotic core and greater dense calcium levels than those observed at the non-ED site.

Indexed as

Coronary AngiographyCoronary VesselsStentsTomography, Optical CoherenceUltrasonography, InterventionalAgedCoronary Artery DiseaseFemaleHumansMaleMiddle AgedMultimodal ImagingNecrosisPercutaneous Coronary InterventionPredictive Value of TestsRetrospective Studies

Identifiers

PMID24481539
OpenAlexW1978725016

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.