ArticleBMC cardiovascular disorders2025
Association between glucose-to-lymphocyte ratio and long-term mortality among women after coronary artery bypass grafting: filling gaps in female.
Article in BMC cardiovascular disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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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Who cites it
1 citing paper in PubMed.
- High glucose-to-lymphocyte ratio increases the risk of delirium and all-cause mortality in intensive care unit patients.Scientific reports · 2026Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundInflammation plays a pivotal role in the progression of coronary artery disease and increases the risk of mortality in patients undergoing coronary artery bypass grafting (CABG). The glucose-to-lymphocyte ratio (GLR), calculated from serum glucose levels and peripheral lymphocyte counts, is a novel marker of inflammation, but its relationship with outcomes after CABG remains unexplored. The aim of this study was to evaluate the association between GLR and long-term mortality.
methodsThis retrospective cohort study used data from the Medical Information Mart for Intensive Care (MIMIC) database to examine baseline and outcome data for CABG patients. Participants were stratified into quartiles based on GLR levels, and the Cox proportional hazards model and restricted cubic spline analysis were used to evaluate the association between GLR and mortality.
resultsA total of 592 adult patients (mean age 70.0 ± 10.3 years, mean BMI 30.6 ± 6.8 kg/m
conclusionsGLR was significantly associated with an increased risk of long-term mortality, with both the highest and lowest quartiles demonstrating elevated hazard ratios compared to the second quartile. Assessing GLR may have clinical relevance for predicting mortality risk, providing valuable insights for preventive strategies and patient management.
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