Evidence map›Paper›PMID 30505168›Full record

ArticleSaudi journal of biological sciences2018

The utility of inflammation and platelet biomarkers in patients with acute coronary syndromes.

Joanna Kamińska, Olga M Koper, Edyta Siedlecka-Czykier, Joanna Matowicka-Karna, Jerzy Bychowski, Halina Kemona

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Saudi journal of biological sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 pooled it
1.1field-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

33 citing papers in PubMed, 2 syntheses or guidelines pooled it, 61 citations in OpenAlex.

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  18. Medical Fuzzy-Expert System for Assessment of the Degree of Anatomical Lesion of Coronary Arteries.International journal of environmental research and public health · 2023
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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

6 authors at 2 institutions in 1 country.

Joanna KamińskaDepartment of Clinical Laboratory Diagnostics, Medical University of Bialystok, Poland.
Olga M KoperDepartment of Clinical Laboratory Diagnostics, Medical University of Bialystok, Poland.
Edyta Siedlecka-CzykierDepartment of Cardiology Intensive Care with the Hemodynamic Unit of the Jędrzej Śniadecki Provincial Hospital in Bialystok, Poland.
Joanna Matowicka-KarnaDepartment of Clinical Laboratory Diagnostics, Medical University of Bialystok, Poland.
Jerzy BychowskiDepartment of Cardiology Intensive Care with the Hemodynamic Unit of the Jędrzej Śniadecki Provincial Hospital in Bialystok, Poland.
Halina KemonaDepartment of Clinical Laboratory Diagnostics, Medical University of Bialystok, Poland.
Medical University of Białystok · PLWojewódzki Szpital Zespolony im. Jędrzeja Śniadeckiego · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThrombotic and inflammatory mechanisms are involved in the pathophysiology of acute coronary syndrome (ACS). The aim of the study was the evaluation of inflammation (white blood cells count/WBC, C-reactive protein/CRP, interleukin-6/IL-6) and platelet (platelet count/PLT, mean platelet volume/MPV, large platelet/LPLT, beta-thromboglobulin/β-TG) biomarkers in the groups of ACS patients depending on the severity of signs and symptoms and compared to controls without coronary artery disease. MATERIALS AND

methodsThe study group included 93 patients categorized into 3 subgroups depending on the severity of signs and symptoms of ACS. PLT, MPV, LPLT, and WBC were determined on hematological analyzer, IL-6 and β-TG were measured using the ELISA method.

resultsIn the whole group of ACS patients WBC, CRP, IL-6, MPV, and β-TG were significantly higher as compared to controls. Analyzing the inflammation and platelet biomarkers depending on the severity of signs and symptoms in comparison to controls, statistically significant differences for above-mentioned parameters were also found. There were no significant differences between the advancement of coronary artery changes and inflammation as well as platelet parameters, except for CRP concentrations. The AUCs for all inflammation parameters tested were similar, however the highest AUCs showed WBC and CRP. Among platelet parameters the highest AUC revealed β-TG.

conclusionMarkers of inflammation and platelet activation may be associated to myocardial ischemia and myocardial injury. WBC, CRP and IL-6 as inflammation parameters and MPV and β-TG as platelet biomarkers may be useful indicators of the presence of coronary artery disease.

Indexed as

ACC, diagnostic accuracyACS, acute coronary syndromeActivated plateletAcute coronary syndromeALT, alanine transaminaseAST, aspartate transaminaseAUC, area under the ROC curveBeta-thromboglobulinBP, blood pressureCRP, C-reactive proteincTnI, cardiac troponin IECG, echocardiogrameGFR, estimate glomerular filtration rateF, femaleHCT, hematocritHDL, high-density lipoprotein cholesterolHGB, hemoglobinIFN-IL-6, interleukin-6Inflammation biomarkersLBBB, Left Bundle Branch BlockLDL, low-density lipoprotein cholesterolL-PLT, large plateletMI, myocardial infarctionM, maleMPV, mean platelet volumeNPV, negative predictive valueNS, not statistically significantNSTEMI, non-ST-segment elevation myocardial infarctionPAF, platelet activating factorPLT, platelet countPPV, positive predictive valueRBC, red blood cell countROC, Receiver operator characteristicSE, Standard ErrorsP-selectin, soluble form of P-selectinSTEMI, ST-segment elevation myocardial infarctionTCH, total cholesterolTG, triglyceridesTNF-α, tissue necrosis factor alfaUA, unstable anginaWBC, white blood cells countβ-TG, β-thromboglobulin

Identifiers

PMID30505168
PMCPMC6252018
OpenAlexW2533300374

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.