Publication Name	World Journal of Gastrointestinal Oncology
Manuscript ID	53086
Country	China

Category	Gastroenterology & Hepatology
Manuscript Type	Observational Study
Article Title	Evaluation of the value of multiparameter combined analysis of serum markers in the early diagnosis of gastric cancer
Manuscript Source	Unsolicited Manuscript
All Author List	Zhi-Guo Zhang, Liang Xu, Peng-Jun Zhang and Lei Han
Funding Agency and Grant Number	Funding Agency Grant Number National Key R&D Program of China 2016YFC0106604 National Natural Science Foundation of China 81502591
Corresponding Author	Lei Han, MD, Professor, Department of Oncology, Beijing Daxing District People’s Hospital, No. 26 Huangcun West Street, Beijing 102600, China. zlk60283168@163.com
Key Words	Gastric cancer; Gastric polyp; Serum; Artificial neural network; Detection;
Core Tip	In this study, we aimed to improve the diagnostic value of blood markers for gastric cancer. By comparing the binary logistic regression, discriminant analysis, classification tree and artificial neural network analysis, finally, artificial neural networks had better diagnostic value. When compared healthy control and gastric cancer, gastric polyp and gastric cancer, the area under the curve was 0.992 (0.980, 1.000) and 0.969 (0.948, 0.990), respectively. Based on artificial neural network and serum index, a novel diagnostic model for gastric cancer may be provided for clinical practice.
Citation	Zhang ZG, Xu L, Zhang PJ, Han L. Evaluation of the value of multiparameter combined analysis of serum markers in the early diagnosis of gastric cancer. World J Gastrointest Oncol 2020; 12(4): 483-491

Received	2019-12-21 08:14
Peer-Review Started	2019-12-21 08:14
To Make the First Decision
Return for Revision	2020-01-19 04:41
Revised	2020-02-05 00:32
Second Decision	2020-03-19 10:01
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief	2020-03-22 21:30
Articles in Press	2020-03-22 21:30
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2020-04-13 17:42

ISSN	1948-5204 (online)
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