Evidence map›Paper›PMID 35647067›Full record

ArticleFrontiers in cardiovascular medicine2022

The Core Role of Neutrophil-Lymphocyte Ratio to Predict All-Cause and Cardiovascular Mortality: A Research of the 2005-2014 National Health and Nutrition Examination Survey.

Linguo Gu, Zhenkun Xia, Bei Qing, Hongzuo Chen, Wei Wang, Ying Chen, Yunchang Yuan

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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 7 papers.

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0cells of the map it votes in
7citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Linguo GuDepartment of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China.
Zhenkun XiaDepartment of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China.
Bei QingDepartment of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China.
Hongzuo ChenDepartment of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China.
Wei WangDepartment of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China.
Ying ChenDepartment of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China.
Yunchang YuanDepartment of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To further supplement the previous research on the relationship between neutrophil-lymphocyte ratio (NLR) and all-cause and cardiovascular mortality, and construct clinical models to predict mortality. Methods: A total number of 2,827 observers were included from the National Health and Nutrition Examination Survey (NHANES) database in our research. NLR was calculated from complete blood count. According to the quartile of baseline NLR, those observers were divided into four groups. A multivariate weighted Cox regression model was used to analyze the association of NLR with mortality. We constructed simple clinical prognosis models by nomograms. Kaplan-Meier survival curves were used to depict cause-specific mortality. Restricted cubic spline regression was used to make explicit relationships between NLR and mortality. Results: This study recruited 2,827 subjects aged ≥ 18 years from 2005 to 2014. The average age of these observers was 51.55 ± 17.62, and 57.69% were male. NLR is still an independent predictor, adjusted for age, gender, race, drinking, smoking, dyslipidemia, and other laboratory covariates. The area under the receiver operating characteristic curves (AUCs) of NLR for predicting all-cause mortality and cardiovascular mortality were 0.632(95% CI [0599, 0.664]) and 0.653(95% CI [0.581, 0.725]), respectively, which were superior to C-reactive protein (AUCs: 0.609 and 0.533) and WBC (AUCs: 0.522 and 0.513). The calibration and discrimination of the nomograms were validated by calibration plots and concordance index (C-index), and the C-indexes (95% CIs) of nomograms for all-cause and cardiovascular mortality were 0.839[0.819,0.859] and 0.877[0.844,0.910], respectively. The restricted cubic spline showed a non-linear relationship between NLR and mortality. NLR > 2.053 might be a risk factor for mortality. Conclusion: There is a non-linear relationship between NLR and mortality. NLR is an independent factor related to mortality, and NLR > 2.053 will be a risk factor for prognosis. NLR and nomogram should be promoted to medical use for practicality and convenience.

Indexed as

all-causecardiovascularmortalityneutrophil-lymphocyte ratioNHANES

Identifiers

PMID35647067
PMCPMC9133381

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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.