Evidence map›Paper›PMID 28555389›Full record

ArticleThe international journal of cardiovascular imaging2017

Plaque characteristics and inflammatory markers for the prediction of major cardiovascular events in patients with ST-segment elevation myocardial infarction.

Ae-Young Her, Kyoung Im Cho, Gillian Balbir Singh, Dae Seong An, Young-Hoon Jeong, Bon-Kwon Koo, Eun-Seok Shin

Abstract read
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In one paragraph

Article in The international journal of cardiovascular imaging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 3 pooled it
0.7field-weighted citation impact, top 27% 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

9 citing papers in PubMed, 3 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Cardiovascular imaging 2017 in the International Journal of Cardiovascular Imaging.The international journal of cardiovascular imaging · 2018
    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

7 authors at 6 institutions in 1 country.

Ae-Young HerDivision of Cardiology, Department of Internal Medicine, Kangwon National University School of Medicine, Chuncheon, South Korea.
Kyoung Im ChoDepartment of Cardiology, Kosin University School of Medicine, Busan, South Korea.
Gillian Balbir SinghDepartment of Cardiology, Ulsan University Hospital, University of Ulsan College of Medicine, 877 Bangeojin Sunhwan-doro, Dong-gu, Ulsan, 682-714, South Korea.
Dae Seong AnDivision of Biostatistics, Research Institute of Convergence for Biomedical Science and Technology, Pusan National University YangSan Hospital, Yangsan, South Korea.
Young-Hoon JeongDepartment of Cardiology, Gyeongsang National University Hospital and Gyeongsang National University School of Medicine, Jinju, South Korea.
Bon-Kwon KooDepartment of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, Seoul, South Korea.
Eun-Seok ShinDepartment of Cardiology, Ulsan University Hospital, University of Ulsan College of Medicine, 877 Bangeojin Sunhwan-doro, Dong-gu, Ulsan, 682-714, South Korea. sesim1989@gmail.com.
Ulsan University Hospital · KRGyeongsang National University Hospital · KRKangwon National University · KRKosin University · KRPusan National University Yangsan Hospital · KRSeoul National University Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To investigate the clinical utility of culprit plaque characteristics and inflammatory markers for the prediction of future cardiovascular events in patients with ST-segment elevation myocardial infarction (STEMI) with successful drug-eluting stent (DES) implantation. We evaluated 172 STEMI patients with successful primary percutaneous coronary intervention (PCI) with DES using pre-PCI high-sensitivity C-reactive protein (hs-CRP), neutrophil-to-lymphocyte ratio (NLR) and pre-PCI intravascular ultrasound virtual histology (IVUS-VH) of culprit lesions. The incidence of major adverse cardiovascular events (MACE) including all-cause mortality, non-fatal MI, stroke and late revascularization were recorded during hospitalization and follow-up. During follow-up (median 41 months), the incidence of MACE did not significantly differ among patients with or without all 3 high-risk plaque features on IVUS-VH (15.1 vs. 16.2%; p = 0.39). In contrast, patients with elevated hs-CRP and NLR levels were at significant risk for MACE [32.7 vs. 5.8%; hazard ratio (HR) 7.85; p < 0.001 and 43.9 vs. 6.9%; HR 8.44; p < 0.001, respectively]. High-risk plaque features had no incremental usefulness to predict future MACE. However, the incorporation of hs-CRP and NLR into a model with conventional clinical and procedural risk factors significantly improved the C-statistic for the prediction of MACE (0.76-0.89; p = 0.04). High-risk plaque features identified by IVUS-VH in culprit lesions were not associated with future MACE in patients with STEMI receiving DES. However, elevated hs-CRP and NLR levels were significantly associated with poorer outcomes and had incremental predictive values over conventional risk factors.

Indexed as

LymphocytesNeutrophilsPlaque, AtheroscleroticUltrasonography, InterventionalAdultAgedAged, 80 and overBiomarkersCoronary VesselsC-Reactive ProteinDisease-Free SurvivalDrug-Eluting StentsFemaleHumansInflammation MediatorsKaplan-Meier EstimateBiomarkersC-Reactive ProteinInflammation MediatorsHigh-sensitivity C-reactive proteinIntravascular ultrasound virtual histologyNeutrophil to lymphocyte ratioOutcomesPlaque characteristicsST-segment elevation myocardial infarction

Identifiers

PMID28555389
OpenAlexW2619030637

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.