The value of single biomarkers in the diagnosis of silicosis: A meta-analysis

Abstract

Summary: This study aims to establish a scientific foundation for early detection and diagnosis of silicosis by conducting meta-analysis on the role of single biomarkers in independent diagnosis. The combined sensitivity (Sen), specificity (Spe), positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic score, and diagnostic odds ratio (DOR) were 0.84 (95% confidence interval (CI): 0.77–0.90), 0.83 (95% CI: 0.78–0.88), 5.08 (95% CI: 3.92–6.59), 0.19 (95% CI: 0.13–0.27), 3.31 (95% CI: 2.88–3.74) and 27.29 (95% CI: 17.77–41.91), respectively. The area under the curve (AUC) was 0.90 (95% CI: 0.88–0.93). The Fagan plot shows a positive posterior probability of 82% and a negative posterior probability of 15%. This study establishes an academic basis for the swift identification, mitigation, and control of silicosis through scientific approaches. The assessed biomarkers offer precision and dependability in silicosis diagnosis, opening novel paths for early detection and intervention, thereby mitigating the disease burden associated with silicosis.

Keywords

• Health informatics
• Pathophysiology