Evidence map›Paper›PMID 35463771›Full record

ArticleFrontiers in cardiovascular medicine2022

The Admission (Neutrophil+Monocyte)/Lymphocyte Ratio Is an Independent Predictor for In-Hospital Mortality in Patients With Acute Myocardial Infarction.

Yu Wang, Miao Yuan, Yao Ma, Congcong Shao, Yuan Wang, Mengyao Qi, Bincheng Ren, Dengfeng Gao

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

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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

22 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

8 authors.

Yu WangDepartment of Cardiology, The Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, China.
Miao YuanDepartment of Cardiology, The Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, China.
Yao MaDepartment of Cardiology, The Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, China.
Congcong ShaoDepartment of Cardiology, The Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, China.
Yuan WangDepartment of Cardiology, The Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, China.
Mengyao QiDepartment of Cardiology, The Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, China.
Bincheng RenDepartment of Cardiology, The Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, China.
Dengfeng GaoDepartment of Cardiology, The Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Peripheral differential leukocyte counts are accepted prognostic indicators in patients with acute myocardial infarction (AMI). Herein, we assessed the value of the admission (neutrophil+monocyte)/lymphocyte ratio (NMLR) in predicting in-hospital mortality in these patients. Materials and Methods: Samples of patients from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database meeting the criteria were included. Receiver operating characteristic (ROC) curves were plotted to explore the predictive value and the optimum cut-off value of admission NMLR. Univariate and multivariate Cox regression analyses and restricted cubic spline (RCS) were performed to determine and visualize the association between admission NMLR and in-hospital mortality. The Kaplan-Meier (KM) method was used to plot survival curves of two groups with different admission NMLR levels. Results: Samples in the non-survival group had higher admission NMLR values than samples in the survival group (12.11 [7.22-21.05] vs. 6.38 [3.96-11.25], Conclusion: An elevated admission NMLR is an independent predictor for high in-hospital mortality in patients with AMI. And it is superior to other leukocyte-related indexes.

Indexed as

acute myocardial infarctionMIMIC-IVmortality(neutrophil+monocyte)/lymphocyte ratioprognostic indicator

Identifiers

PMID35463771
PMCPMC9021423

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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.