Evidence map›Paper›PMID 29716394›Full record

Trial reportClinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis2018

Novel Biomarkers for Coronary Restenosis Occurrence After Drug-Eluting Stent Implantation in Patients With Diabetes Having Stable Coronary Artery Disease.

Zufar Gabbasov, Sergey Kozlov, Ivan Melnikov, Svetlana Byazrova, Olga Saburova, Lyudmila Prokofieva, Martin Caprnda, Eduard Curilla, Ludovit Gaspar, Luis Rodrigo and 2 more

Open access · bronzeAbstract readClinical Trial
In one paragraph

Trial report in Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
1.4field-weighted citation impact, top 19% 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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  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

12 authors at 5 institutions in 4 countries.

Zufar Gabbasov1 Russian Cardiology Research and Production Complex, Moscow, Russian Federation.
Sergey Kozlov1 Russian Cardiology Research and Production Complex, Moscow, Russian Federation.
Ivan Melnikov1 Russian Cardiology Research and Production Complex, Moscow, Russian Federation.
Svetlana Byazrova1 Russian Cardiology Research and Production Complex, Moscow, Russian Federation.
Olga Saburova1 Russian Cardiology Research and Production Complex, Moscow, Russian Federation.
Lyudmila Prokofieva1 Russian Cardiology Research and Production Complex, Moscow, Russian Federation.
Martin Caprnda3 1st Department of Internal Medicine, Faculty of Medicine, Comenius University, Bratislava, Slovakia.
Eduard Curilla4 Department of Cardiology, East Slovak Institute of Cardiovascular Diseases, Kosice, Slovakia.
Ludovit Gaspar3 1st Department of Internal Medicine, Faculty of Medicine, Comenius University, Bratislava, Slovakia.
Luis Rodrigo5 Faculty of Medicne, University of Oviedo, Central University Hospital of Asturias (HUCA), Oviedo, Spain.
Peter Kruzliak6 Department of Internal Medicine, Brothers of Mercy Hospital, Brno, Czech Republic.
Vladimir Smirnov1 Russian Cardiology Research and Production Complex, Moscow, Russian Federation.
Institute of Experimental Cardiology · RUComenius University Bratislava · SKInstitute of Biomedical Problems · RUMasaryk University · CZUniversidad de Oviedo · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of the study was to assess whether the occurrence of restenosis is associated with CD45+ platelet count and neutrophil to lymphocyte ratio in patients with type 2 diabetes mellitus (DM) after drug-eluting stent (DES) implantation for stable coronary artery disease (CAD). The study comprised 126 patients, including 55 patients with type 2 DM and stable CAD who underwent elective coronary artery stenting with DES and follow-up angiography within 6 to 12 months. Blood samples were collected from each patient on the morning of the coronary angiography procedure. The variables related to in-stent restenosis were selected by logistic regression analysis. The logistic regression analysis showed that 2 inflammatory factors, CD45+ platelet count (odds ratio [OR] = 4.51, 95% confidence interval [CI]: 1.50-13.50, P = .007) and neutrophil to lymphocyte ratio (OR = 3.09, 95% CI: 1.05-9.10, P = .04), were significantly associated with the risk of in-stent restenosis after stenting with DES in patients with stable CAD and type 2 DM. A receiver operator characteristic curve analysis indicated that the area under the curve was 0.83% (0.05%; P < .001), which showed that the logistic model had good predictive accuracy (based on CD45+ platelet count and neutrophil to lymphocyte ratio) for the risk of in-stent restenosis development in DES in patients with CAD and type 2 DM. Two novel biomarkers of restenosis, CD45+ platelet count and neutrophil to lymphocyte ratio, may be effectively used to predict in-stent restenosis after DES implantation in patients with CAD and type 2 DM.

Indexed as

Drug-Eluting StentsAgedBiomarkersBlood PlateletsCoronary Artery DiseaseCoronary RestenosisDiabetes Mellitus, Type 2Diabetic AngiopathiesFemaleHumansLeukocyte Common AntigensMaleMiddle AgedPlatelet CountBiomarkersLeukocyte Common AntigensPTPRC protein, humanCD45+ platelet countcoronary artery diseasediabetes mellitusdrug-eluting stentsneutrophil to lymphocyte ratiorestenosis

Identifiers

PMID29716394
PMCPMC6714775
OpenAlexW2801812366

What OpenQuestion holds

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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.