diagnostic performance of des-γ-carboxy prothrombin for hepatocellular carcinoma: a meta-analysis

diagnostic performance of des-γ-carboxy prothrombin for hepatocellular carcinoma: a meta-analysis

;Rong Zhu;Jing Yang;Ling Xu;Weiqi Dai;Fan Wang;Miao Shen;Yan Zhang;Huawei Zhang;Kan Chen;Ping Cheng;Chengfen Wang;Yuanyuan Zheng;Jingjing Li;Jie Lu;Yingqun Zhou;Dong Wu;Chuanyong Guo
colloids and surfaces a: physicochemical and engineering aspects 2014 Vol. 2014 pp. -
143
zhu2014gastroenterologydiagnostic

Abstract

Background. There have been many reports on des-γ-carboxy prothrombin (DCP) as a promising serum marker in the diagnosis of hepatocellular carcinoma (HCC); however, the results are inconsistent and even conflicting. Methods. This meta-analysis was performed to investigate the performance of DCP in the diagnosis of HCC. Following a systematic review of relevant studies, Meta-DiSc 1.4 software was used to extract data and to calculate the overall sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), and diagnostic odds ratio (DOR). Data are presented as forest plots and summary receiver operating characteristic curve (SROC) analysis was used to summarize the overall test performance. Results. Twelve studies were included in our meta-analysis. The overall sensitivity, specificity, PLR, and NLR of DCP for the detection of HCC in the studies included were 71% (95%CI: 68%–73%), 84% (95%CI: 83%–86%), 6.48 (95%CI: 4.22–9.93), and 0.33 (95%CI: 0.25–0.43), respectively. The area under the SROC curve was 0.8930 and the Q index was 0.8238. Significant heterogeneity was found. Conclusion. This meta-analysis indicated that DCP had moderate diagnostic accuracy in HCC. Further studies with rigorous design, large sample size, and mmultiregional cooperation are needed in the future.

Citation

ID: 195741
Ref Key: zhu2014gastroenterologydiagnostic
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
195741
Unique Identifier:
10.1155/2014/529314
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet