Evidence map›Paper›PMID 41316458›Full record

ArticleEuropean journal of medical research2025

Prognostic value of glucose-to-lymphocyte ratio for all-cause mortality and consciousness impairment in critically ill cerebrovascular disease patients.

Yan Li, Lei Yu, Miaomiao Fu, Lin Liu, Fengyue Han, Yue Qiao, Binglong Li, Xia Gao

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Article in European journal of medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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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

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yan LiDepartment of Neurology, Jinan Third People's Hospital, No. 1, Wangsheren North Street, Licheng District, Jinan, 250100, China.
Lei YuDepartment of Cardiology, Jinan Third People's Hospital, Jinan, China.
Miaomiao FuPhysical Examination Center, Jinan Third People's Hospital, Jinan, China.
Lin LiuDepartment of Neurology, Jinan Third People's Hospital, No. 1, Wangsheren North Street, Licheng District, Jinan, 250100, China.
Fengyue HanDepartment of Neurology, Jinan Third People's Hospital, No. 1, Wangsheren North Street, Licheng District, Jinan, 250100, China.
Yue QiaoDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Binglong LiDepartment of Neurology, Jinan Third People's Hospital, No. 1, Wangsheren North Street, Licheng District, Jinan, 250100, China. LBL_0304@163.com.
Xia GaoDepartment of Medical Administration, Jinan Third People's Hospital, Jinan, China. sdgaoxia@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe glucose-to-lymphocyte ratio (GLR) is a promising biomarker linked to metabolic status and inflammation, with prognostic value in various diseases. However, its role in predicting outcomes for patients with cerebrovascular diseases, particularly in intensive care units, remains unclear.

methodsData from 1,810 intracerebral hemorrhage (ICH) and 2060 ischemic stroke patients in the Medical Information Mart for Intensive Care IV database were analyzed. Cox proportional hazards models were used to evaluate the relationship between GLR and in-hospital mortality, while logistic regression assessed its association with consciousness impairment. Restricted cubic spline analysis was performed to examine potential non-linear links. The incremental predictive value of GLR was evaluated using decision curve analysis and integrated discrimination improvement indices.

resultsElevated GLR was independently associated with higher in-hospital mortality in both ICH (hazard ratio [HR]: 1.016, P = 0.004) and ischemic stroke patients (HR: 1.013, P = 0.009). It was also linked to increased risk of consciousness impairment in ICH (odds ratio [OR]: 1.014, P = 0.043) and ischemic stroke (OR: 1.015, P = 0.013). Non-linear relationships between GLR and mortality were observed in ICH patients (P for non-linearity < 0.001). Incorporating GLR into existing clinical scoring systems improved their predictive power (all P < 0.05).

conclusionGLR is a valuable predictor of severe consciousness impairment and in-hospital mortality in intensive care unit (ICU) patients with cerebrovascular diseases.

Indexed as

Blood GlucoseCerebral HemorrhageCerebrovascular DisordersConsciousness DisordersLymphocytesAgedBiomarkersCritical IllnessFemaleHospital MortalityHumansLymphocyte CountMaleMiddle AgedPrognosisBiomarkersBlood GlucoseCerebral infarctionGlucose-to-lymphocyte ratioIntensive care unitMIMIC databaseMortalityNon-traumatic cerebral hemorrhage

Identifiers

PMID41316458
PMCPMC12661742

What Socratic holds

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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.