ArticleCureus2024
Diagnostic Value of Inflammatory Biomarkers in Intracranial Venous Thrombosis: A Multi-model Predictive Analysis.
Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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Who cites it
1 citing paper in PubMed.
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveCerebral venous thrombosis (CVT) is a rare but significant condition, primarily affecting young adults, especially women. The diagnosis of CVT is challenging due to its nonspecific clinical presentation. Inflammatory biomarkers, such as the systemic immune-inflammatory index (SII), platelet-to-lymphocyte ratio (PLR), and neutrophil-to-lymphocyte ratio (NLR), may aid in early diagnosis. This study aimed to explore the role of these biomarkers and assess machine learning models for improving diagnostic accuracy.
methodsThis study included 100 CVT patients and 50 controls. Data collected included demographic information, biochemical markers, and clinical symptoms. Traditional statistical methods and machine learning models, including decision trees, random forests, AdaBoost, k-nearest neighbors, support vector machines (SVM), and artificial neural networks (ANN), were used to evaluate the diagnostic value of biomarkers.
resultsThe SII and NLR levels were significantly higher in CVT patients. The ANN model based on SII and PLR achieved the best diagnostic performance, with an area under the curve (AUC) of 0.94, showing high accuracy and reliability.
conclusionInflammatory biomarkers, particularly SII, have significant predictive value in CVT diagnosis. Machine learning models, especially ANN, show promise in improving diagnostic accuracy. Future studies with larger sample sizes are needed to validate these findings further.
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