Evidence map›Paper›PMID 39167310›Full record

ArticleInflammopharmacology2024

Neutrophil-lymphocyte ratio and systemic immune-inflammation index as predictors of cardiovascular risk and mortality in prediabetes and diabetes: a population-based study.

Xiaoli Chen, Aihua Li, Qilin Ma

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Article in Inflammopharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

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23citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

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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.

2 · The registry

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3 · Its place in the literature

Who cites it

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

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Xiaoli ChenDepartment of Cardiovascular Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Aihua LiDepartment of Cardiovascular Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Qilin MaDepartment of Cardiovascular Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China. mqilin2013@csu.edu.cn.ORCID http://orcid.org/0000-0001-8608-2219

Funding

National Natural Science Foundation of China 8197021705Natural Science Foundation of Hunan Province 2022JJ30069
6 · The paper itself

Abstract

backgroundThe neutrophil-lymphocyte ratio (NLR) and systemic immune-inflammation index (SII) are emerging inflammatory markers related to cardiovascular outcomes. This study investigated their relationships with cardiovascular disease (CVD) and mortality among individuals with prediabetes or diabetes and assessed their predictive roles.

methodsA cohort of 6871 individuals with diabetes or prediabetes from the NHANES (2001-2018) was included. Weighted multivariate logistic regression models assessed NLR and SII associations with CVD risk, while survey-weighted Cox proportional hazards models evaluated their links to mortality. The predictive accuracy of the biomarkers for mortality was quantified by receiver-operating characteristic (ROC) curve analysis.

resultsIndividuals in the higher NLR and SII groups exhibited a high incidence of CVD. A total of 1146 deaths occurred throughout an average follow-up duration of 191 months, of which 382 were caused by CVD. Participants with higher NLR markedly increased the risk of all-cause (HR = 1.82) and cardiovascular mortality (HR = 2.07). A similar result was observed in the higher SII group. RCS analysis identified a linear correlation between NLR and CVD risk and mortality (p > 0.05), while SII showed a nonlinear correlation (p < 0.05). ROC results demonstrated that NLR exhibited a higher predictive ability in mortality than SII.

conclusionsElevated levels of NLR and SII correlated with an increased risk of CVD and both all-cause and cardiovascular mortality in individuals with diabetes or prediabetes. The NLR appears to be particularly valuable for assessing risk and predicting outcomes in these patients.

Indexed as

Cardiovascular DiseasesInflammationLymphocytesNeutrophilsPrediabetic StateAdultAgedBiomarkersCohort StudiesDiabetes MellitusFemaleHumansMaleMiddle AgedNutrition SurveysRisk FactorsBiomarkersCardiovascular diseaseDiabetesMortalityNeutrophil–lymphocyte ratioPrediabetesSystemic immune-inflammation index

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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 Socratic graph.