Evidence map›Paper›PMID 32211208›Full record

ArticleEmergency medicine international2020

The Effectiveness of Neutrophil-Lymphocyte Ratio in Predicting in-Hospital Mortality in Non-ST-Elevation Myocardial Infarction.

Begüm Şeyda Avci, Akkan Avci, Yurdaer Dönmez, Adem Kaya, Müge Gülen, Ali İlker Özer, Atilla Bulut, Mevlüt Koç, Hakan Nazik, Salim Satar

Abstract read
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Article in Emergency medicine international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

10 authors.

Begüm Şeyda AvciHealth Science University, Adana City Research and Training Hospital, Department of Internal Medicine, Adana, Turkey.
Akkan AvciHealth Science University, Adana City Research and Training Hospital, Department of Emergency Medicine, Adana, Turkey.ORCID https://orcid.org/0000-0002-4627-0909
Yurdaer DönmezHealth Science University, Adana City Research and Training Hospital, Department of Cardiology, Adana, Turkey.
Adem KayaHealth Science University, Adana City Research and Training Hospital, Department of Emergency Medicine, Adana, Turkey.
Müge GülenHealth Science University, Adana City Research and Training Hospital, Department of Emergency Medicine, Adana, Turkey.ORCID https://orcid.org/0000-0002-5080-3501
Ali İlker ÖzerHealth Science University, Adana City Research and Training Hospital, Department of Emergency Medicine, Adana, Turkey.
Atilla BulutHealth Science University, Adana City Research and Training Hospital, Department of Cardiology, Adana, Turkey.
Mevlüt KoçHealth Science University, Adana City Research and Training Hospital, Department of Cardiology, Adana, Turkey.
Hakan NazikScience Health University, Adana City Research and Traning Hospital, Department of Gynecology, Adana, Turkey.ORCID https://orcid.org/0000-0001-6495-3511
Salim SatarHealth Science University, Adana City Research and Training Hospital, Department of Emergency Medicine, Adana, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMyocardial infarction is the most common cause of death all over the world. There are many studies in predicting mortality. The aim of this study was to determine the effectiveness of hematologic parameters measured at the moment of admission to the emergency room in predicting in-hospital mortality and to determine cutoff values of strongly predictive values.

methodsA total of 681 patients over 18 years of age, whose date could be obtained, were included in the study. From the hemogram parameters, white blood cells (WBC), red cell distribution width (RDW), mean platelet volume (MPV), and neutrophils-to-lymphocytes ratio (NLR) values were determined and recorded. CK-MB and high-sensitive troponin

results62.6% (

conclusionAccording to the hemogram results which were acquired with a simple and cheap method, we found that WBC and especially NLR values obtained with a simple method can be used as powerful predictors.

Identifiers

PMID32211208
PMCPMC7085368

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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.