OBJECTIVE: Early diagnosis of ovarian cancer is crucial in clinical practice but is difficult. Accumulating studies have investigated the utility of YKL-40 in early detection of ovarian cancer. The aim of this study was to evaluate the overall accuracy of YKL-40 in diagnosis of ovarian cancer through a meta-analysis of published studies. METHODS: A comprehensive search of related literature was performed in PubMed, Web of Science, and China National Knowledge Infrastructure databases. Meta-DiSc 1.4 and STATA 11.0 were selected for data analysis, and Quality Assessment of Diagnostic Accuracy Studies tool version 2 was used to assess the quality of included studies. Data from selected studies were pooled to yield summary sensitivity, specificity, positive and negative likelihood ratios, diagnostic odds ratio, and summary receiver operating characteristic curve. RESULTS: A total of 13 studies dating up to May 2015 with 1623 individuals were enrolled in the present study. The pooled characteristics of these studies were as follows: sensitivity 0.71 (95% confidence interval [CI], 0.68-0.75), specificity 0.90 (95% CI, 0.88-0.92), positive likelihood ratio 7.24 (95% CI, 4.22-12.43), negative likelihood ratio 0.34 (95% CI, 0.27-0.42), and diagnostic odds ratio 24.93 (95% CI, 12.61-49.27), respectively. The area under the curve was 0.8471. CONCLUSIONS: The results indicated that YKL-40 could be regarded as an effective biomarker for diagnosis of ovarian cancer.
OBJECTIVE: Early diagnosis of ovarian cancer is crucial in clinical practice but is difficult. Accumulating studies have investigated the utility of YKL-40 in early detection of ovarian cancer. The aim of this study was to evaluate the overall accuracy of YKL-40 in diagnosis of ovarian cancer through a meta-analysis of published studies. METHODS: A comprehensive search of related literature was performed in PubMed, Web of Science, and China National Knowledge Infrastructure databases. Meta-DiSc 1.4 and STATA 11.0 were selected for data analysis, and Quality Assessment of Diagnostic Accuracy Studies tool version 2 was used to assess the quality of included studies. Data from selected studies were pooled to yield summary sensitivity, specificity, positive and negative likelihood ratios, diagnostic odds ratio, and summary receiver operating characteristic curve. RESULTS: A total of 13 studies dating up to May 2015 with 1623 individuals were enrolled in the present study. The pooled characteristics of these studies were as follows: sensitivity 0.71 (95% confidence interval [CI], 0.68-0.75), specificity 0.90 (95% CI, 0.88-0.92), positive likelihood ratio 7.24 (95% CI, 4.22-12.43), negative likelihood ratio 0.34 (95% CI, 0.27-0.42), and diagnostic odds ratio 24.93 (95% CI, 12.61-49.27), respectively. The area under the curve was 0.8471. CONCLUSIONS: The results indicated that YKL-40 could be regarded as an effective biomarker for diagnosis of ovarian cancer.
Authors: Malgorzata Fuksiewicz; Beata Kotowicz; Andrzej Rutkowski; Joanna Achinger-Kawecka; Michal Wagrodzki; Maria M Kowalska Journal: Technol Cancer Res Treat Date: 2018-01-01
Authors: Kai Chung Cheng; Jih Jong Lee; Shang Lin Wang; Chun Yu Lin; Ching Tien Tseng; Chen Si Lin; Albert Taiching Liao Journal: J Vet Sci Date: 2019-09 Impact factor: 1.672