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The predictive value of endocan as a novel biomarker: an umbrella study on meta-analyses
Sandeep Samethadka Nayak1, Daniyal Ameen1, Sara Nobakht2
1Department of Internal Medicine, Yale New Haven Health Bridgeport Hospital, Bridgeport, CT, USA.
Background And Aim:
In recent years, endocan has emerged as a potential biomarker in various medical conditions. This multifaceted molecule, involved in key processes such as inflammation and endothelial dysfunction, has shown promise in predicting disease progression and therapeutic response across a spectrum of pathologies. However, the heterogeneity of studies and the complexity of endocan's role in different diseases necessitate a comprehensive review. This umbrella review aimed to systematically synthesize and evaluate the evidence from multiple meta-analyses, offering a view of endocan's effectiveness as a predictive biomarker in medical diseases.
Methods:
An extensive search was carried out on March 12, 2024, using the following four databases: PubMed, Scopus, Web of Science, and Cochrane Library. The goal was to identify meta-analyses that assess endocan's predictive efficacy. The pooled effect size and its 95% confidence interval were taken out of each discovered meta-analysis. Furthermore, power analyses were performed to assess the robustness and dependability of the results. An additional GRADE assessment was carried out to gauge the epidemiological reliability of the findings.
Results:
In the final analysis, 12 meta-analyses were included in the current umbrella review. The results showed that there is a significant correlation between a higher endocan level and COVID-19 (SMD: 1.40, 95% CI 0.21-2.58, P = 0.02), followed by chronic kidney disease (SMD: 1.34, 95% CI 0.20 to 2.48, P < 0.01), obstructive sleep apnea (SMD: 1.30, 95% CI 1.06-1.54, P < 0.01), diabetes mellitus (SMD: 1.00, 95% CI 0.81 to 1.19, P < 0.01), coronary artery disease (SMD: 0.99, 95% CI 0.58-1.39, P < 0.01), hypertension (SMD: 0.91, 95% CI 0.44-1.38, P < 0.01), and preeclampsia (SMD: 0.37, 95% CI 0.13-0.62, P < 0.01).
Conclusion:
Endocan has emerged as a highly promising biomarker with considerable potential across various medical conditions. Its relevance spans critical areas such as COVID-19, chronic kidney disease, obstructive sleep apnea, diabetes mellitus, coronary artery disease, and preeclampsia. The broad applicability of endocan highlights its value in improving diagnostic accuracy and enhancing our understanding of these diseases. Clinically, incorporating endocan testing could aid in early detection, monitoring disease progression, and refining patient management, particularly for high-risk populations. However, additional research is needed to fully assess its specificity, sensitivity, and overall clinical utility, paving the way for its integration into routine healthcare practices and enabling more precise, individualized treatment strategies.

