Evidence map›Paper›PMID 36627973›Full record

ArticleBiochemia medica2023

The neutrophil-lymphocyte ratio to predict poor prognosis of critical acute myocardial infarction patients: a retrospective cohort study.

Wenhui Wang, Linlin Liu, Zhongping Ning, Lin Che, Xinming Li

Open access · diamondAbstract read
In one paragraph

Article in Biochemia medica, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

11 citing papers in PubMed, 11 citations in OpenAlex.

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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

5 authors at 4 institutions in 1 country.

Wenhui WangTongji University School of Medicine, Shanghai, China.
Linlin LiuTongji University School of Medicine, Shanghai, China.
Zhongping NingDepartment of Cardiology, Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, China.
Lin CheDepartment of Cardiology, Shanghai Tongji Hospital, Tongji University School of Medicine, China.
Xinming LiShanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, China.
Tongji University · CNShanghai Municipal Center For Disease Control Prevention · CNShanghai University of Medicine and Health Sciences · CNTongji Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Inflammation is closely related to adverse outcomes of acute myocardial infarction (AMI). This study aimed to evaluate whether neutrophil-lymphocyte ratio (NLR) can predict poor prognosis of critical AMI patients. Materials and methods: We designed a retrospective cohort study and extracted AMI patients from the "Medical Information Mart for Intensive Care-III" database. The primary outcome was 1-year all-cause mortality. The secondary outcomes were 90-day and in-hospital all-cause mortalities, and acute kidney injury (AKI) incidence. The optimal cut-offs of NLR were picked by X-tile software according to the 1-year mortality and patient groups were created: low-NLR (< 4.8), high-NLR (4.8 - 21.1), and very high-NLR (> 21.1). Cox and modified Poisson regression models were used to evaluate the effect of NLR on outcomes in critically AMI patients. Results: Finally, 782 critical AMI patients were enrolled in this study, and the 1-year mortality was 32% (249/782). The high- and very high-NLR groups had a higher incidence of outcomes than the low-NLR group ( Conclusion: Baseline NLR is an independent risk factor for 1-year mortality, 90-day mortality, in-hospital mortality, and AKI incidence in AMI patients.

Indexed as

Acute Kidney InjuryMyocardial InfarctionHumansLymphocyte CountLymphocytesNeutrophilsPrognosisRetrospective Studiesacute myocardial infarctioninflammationmortalityneutrophil-lymphocyte ratio

Identifiers

PMID36627973
PMCPMC9807232
OpenAlexW4311884394

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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.