Evidence map›Paper›PMID 24142068›Full record

ArticleHeart and vessels2014

Prognostic impact of lipid contents on the target lesion in patients with drug eluting stent implantation.

Soichiro Kumagai, Hiroaki Takashima, Katsuhisa Waseda, Hirohiko Ando, Akihiro Suzuki, Tadayuki Uetani, Ken Harada, Tomohiro Yoshida, Ayako Kunimura, Yusaku Shimbo and 7 more

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Article in Heart and vessels, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
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  5. 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

17 authors.

Soichiro KumagaiDepartment of Cardiology, Aichi Medical University, 1-1 Karimata, Yazako, Nagakute, Aichi, 480-1195, Japan, kumagais@aichi-med-u.ac.jp.
Hiroaki Takashima
Katsuhisa Waseda
Hirohiko Ando
Akihiro Suzuki
Tadayuki Uetani
Ken Harada
Tomohiro Yoshida
Ayako Kunimura
Yusaku Shimbo
Katsuhide Kitagawa
Kazuhiro Harada
Hideki Ishii
Daiji Yoshikawa
Tatsuaki Matsubara
Toyoaki Murohara
Tetsuya Amano

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We sought to determine the morphologic predictors of major adverse cardiac events (MACEs) after successful percutaneous coronary intervention (PCI) with drug-eluting stents (DES), using integrated backscatter intravascular ultrasound (IB-IVUS). Conventional IVUS and IB-IVUS were performed in 260 consecutive patients who underwent PCI with DES. Three-dimensional analyses were performed to determine plaque volume and the volume of each plaque component (lipid, fibrous, and calcification). Patients were divided into two groups according to the median lipid volume (LV) in the target lesion. MACEs were defined as death, nonfatal myocardial infarction, and any repeat revascularization. The median follow-up interval was 1285 days. MACEs were observed in 64 patients (24.6 %). Patients having a larger LV compared with their counterparts had worse long-term clinical outcomes regarding mortality (3.8 vs. 0 %, P = 0.02) and MACEs (31.5 vs. 17.7 %, P = 0.008) by log-rank test. After adjustment for confounders, large LV (odds ratio 1.95, 95 % confidence interval 1.14-3.33, P = 0.02) was significantly and independently associated with MACEs. The assessment of coronary plaque characteristics in the target lesion may be useful to predict long-term outcome following successful coronary intervention.

Indexed as

Coronary Artery DiseasePlaque, AtheroscleroticPostoperative ComplicationsAgedAngioplasty, Balloon, CoronaryCoronary AngiographyDrug-Eluting StentsFollow-Up StudiesHumansJapanLipidsMaleMiddle AgedPredictive Value of TestsPrognosisRisk FactorsLipidsSirolimus

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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.