Evidence map›Paper›PMID 30508975›Full record

ArticleMedicine2018

Importance of prognostic value of neutrophil to lymphocyte ratio in patients with ST-elevation myocardial infarction.

Jin-Sun Park, Kyoung-Woo Seo, Byoung-Joo Choi, So-Yeon Choi, Myeong-Ho Yoon, Gyo-Seung Hwang, Seung-Jea Tahk, Joon-Han Shin

Abstract readEvaluation Study
In one paragraph

Article in Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
–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

32 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

8 authors.

Jin-Sun ParkDepartment of Cardiology, Ajou University School of Medicine, Suwon, Korea.
Kyoung-Woo Seo
Byoung-Joo Choi
So-Yeon Choi
Myeong-Ho Yoon
Gyo-Seung Hwang
Seung-Jea Tahk
Joon-Han Shin

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ratio between the absolute number of neutrophils and the number of lymphocytes (NLR) has recently emerged as a potential new biomarker predicting worse clinical conditions ranging from infectious disease to cardiovascular disease. Prognostic significance of NLR in patients with ST-elevation myocardial infarction (STEMI) is not established. This study aimed to investigate prognostic impact of NLR in patients with STEMI.We analyzed the data and clinical outcomes of 30-day survivors with STEMI who received successful coronary intervention from 2006 to 2010. NLR was computed from the absolute values of neutrophils and lymphocytes from the complete blood count at admission. Occurrence of major adverse cardiovascular events (MACEs; death, recurrent MI, target vessel revascularization (TVR)) at 5 years was evaluated.We enrolled 326 patients and mean follow-up duration was 68 ± 36 months. The mean NLR was 4.7 ± 5.2. Among all patients, all-cause mortality occurred in 46 patients (14%). Initial NLR was higher in patients who experienced all-cause mortality (6.39 ± 8.9 vs 4.2 ± 3.1, P = .004). In a multivariate regression model, the higher NLR was independently associated with increased risk for all-cause mortality (Hazard ratio, 1.085; 95% confidence interval, 1.002-1.174, P = .044).Increased NLR was associated increased rate of all-cause mortality in 30-day survivors after index STEMI, who received successful coronary intervention.

Indexed as

LymphocytesNeutrophilsAgedFemaleHumansLeukocyte CountMaleMiddle AgedMultivariate AnalysisPercutaneous Coronary InterventionPrognosisProportional Hazards ModelsRegression AnalysisST Elevation Myocardial Infarction

Identifiers

PMID30508975
PMCPMC6283189

What OpenQuestion holds

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Registered trials

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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.