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Long non-coding RNA urothelial carcinoma–associated 1 as a tumor biomarker for the diagnosis of urinary bladder cancer

Zichun Wang, Xiao-Xiong Wang, Daming Zhang, Yong-Jiang Yu, Li-Cheng Cai, Cheng Zhang

Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2017

678 participants · 25 citations

Abstract

To investigate the diagnostic value of urothelial carcinoma–associated 1 as a urine biomarker in urinary bladder cancer patients by performing a comprehensive meta-analysis. A comprehensive literature search was conducted by the databases PubMed, Embase, Cochrane Library, China Knowledge Resource Integrated, and Web of Science. The quality of eligible studies was scored with the Quality Assessment of Diagnostic Accuracy Studies. The bivariate meta-analysis model was used to pool the sensitivity, specificity, likelihood ratio, and diagnostic odds ratio. Receiver operating characteristic curves and hierarchical summary receiver operating characteristic models were employed to check the overall test performance in this meta-analysis. Seven publications involving 678 patients and 563 controls were included in this meta-analysis. The pooled sensitivity was 0.84 (95% confidence interval: 0.80–0.88), specificity was 0.87 (95% confidence interval: 0.75–0.94), positive likelihood ratio was 6.5 (95% confidence interval: 3.10–13.62), negative likelihood ratio was 0.18 (95% confidence interval: 0.13–0.25), and diagnostic odds ratio was 36 (95% confidence interval: 13–99). The area under the summary receiver operating characteristic curve was 0.89 (95% confidence interval: 0.86–0.91). Our results indicated that urothelial carcinoma–associated 1 was a potential diagnostic biomarker with good specificity and sensitivity in urinary bladder cancer. Further prospective studies with larger…

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Evidence Hub reads this as a meta-analysis. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid. Reported size: 678 participants or records.

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