ArticleJapanese journal of radiology2018
Simple quantification of paracardial and epicardial fat dimensions at low-dose chest CT: correlation with metabolic risk factors and usefulness in predicting metabolic syndrome.
Article in Japanese journal of radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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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
4 citing papers in PubMed, 8 citations in OpenAlex.
- The relationship between frequent premature ventricular complexes and epicardial adipose tissue volume.Frontiers in endocrinology · 2023Observational
- Association of Region-Specific Cardiac Adiposity With Dysglycemia and New-Onset Diabetes.Journal of the American Heart Association · 2021Article
- Effects of Secretome from Fat Tissues on Ion Currents of Cardiomyocyte Modulated by Sodium-Glucose Transporter 2 Inhibitor.Molecules (Basel, Switzerland) · 2020Article
- Article
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo assess the usefulness of simple axial bi-dimensional diameters of pericardial fat tissues at low-dose chest CT, in correlation with metabolic parameters in predicting metabolic syndrome. MATERIALS AND
methodsSubjects were 373 asymptomatic individuals who performed both low-dose chest CT and abdominal fat CT for medical check-up. Maximum bi-dimensional axial diameters of paracardial fats at right (RPF) and left (LPF) cardiophrenic angle portions, and epicardial fats around right (REF) and left (LEF) coronary arteries, and coronary sinus (SEF) were measured. Correlation between pericardial fat diameters and metabolic parameters were statistically analyzed.
resultsRPF, LPF, REF, LEF, and SEF diameters were moderately correlated with abdominal visceral fat (AVF) area (R = 0.74, 0.70, 0.48, 0.41, and 0.53, respectively, p < 0.01) in Pearson's correlation analysis. In multiple linear regression analysis, coefficient of RPF for AVF showed highest value. Means of each PF and EF diameters in subjects with metabolic syndrome were significantly larger than those without metabolic syndrome (p < 0.001). All PF and EF diameters were well-discriminated for prediction of metabolic syndrome in ROC analysis (AUC values, from 0.696 to 0.795).
conclusionRPF diameter at low-dose chest CT would be a simple method for prediction of metabolic syndrome.
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