The value of single biomarkers in the diagnosis of silicosis: A meta-analysis
Zhuofeng Wang,
Jiaqi Zhang,
Tian Wang,
Zuodong Liu,
Wanxin Zhang,
Yuxin Sun,
Xi Wu,
Hua Shao,
Zhongjun Du
Affiliations
Zhuofeng Wang
Shandong Academy of Occupational Health and Occupational Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250062, Shandong Province, P.R. China
Jiaqi Zhang
Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China
Tian Wang
Shandong Academy of Occupational Health and Occupational Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250062, Shandong Province, P.R. China
Zuodong Liu
Shandong Academy of Occupational Health and Occupational Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250062, Shandong Province, P.R. China
Wanxin Zhang
Shandong Academy of Occupational Health and Occupational Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250062, Shandong Province, P.R. China
Yuxin Sun
Shandong Academy of Occupational Health and Occupational Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250062, Shandong Province, P.R. China
Xi Wu
Shandong Academy of Occupational Health and Occupational Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250062, Shandong Province, P.R. China
Hua Shao
Shandong Academy of Occupational Health and Occupational Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250062, Shandong Province, P.R. China; Corresponding author
Zhongjun Du
Shandong Academy of Occupational Health and Occupational Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250062, Shandong Province, P.R. China; Corresponding author
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.
