BPG is committed to discovery and dissemination of knowledge
Articles Published Processes
9/16/2014 8:06:00 PM | Browse: 1284 | Download: 1455
 |
Received |
|
2012-09-24 15:13 |
|
Peer-Review Started |
|
2012-09-24 16:11 |
 |
First Decision by Editorial Office Director |
|
|
|
Return for Revision |
|
2012-09-27 11:29 |
|
Revised |
|
2012-10-08 12:40 |
|
Publication Fee Transferred |
|
|
|
Second Decision by Editor |
|
2012-11-28 09:43 |
|
Second Decision by Editor-in-Chief |
|
|
|
Final Decision by Editorial Office Director |
|
2012-11-28 13:38 |
|
Articles in Press |
|
|
|
Edit the Manuscript by Language Editor |
|
2013-01-08 18:33 |
|
Typeset the Manuscript |
|
2013-01-30 10:27 |
|
Publish the Manuscript Online |
|
2013-01-31 10:59 |
| Category |
Gastroenterology & Hepatology |
| Manuscript Type |
Autobiography |
| Article Title |
Serum pepsinogen Ⅱ is a better diagnostic marker in gastric cancer
|
| Manuscript Source |
Invited Manuscript |
| All Author List |
Xue-Yuan Cao, Zhi-Fang Jia, Mei-Shan Jin, Dong-Hui Cao, Fei Kong, Jian Suo and Jing Jiang |
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| National Natural Science Foundation of China |
30972476 |
| National Natural Science Foundation of China |
81072369 |
|
| Corresponding Author |
Jing Jiang, MD, PhD, Division of Clinical Epidemiology, Jilin University First Hospital, 71Xin min Street, Changchun 130021, Jilin Province, China. ccmzc32jdyycao@yahoo.com.cn |
| Key Words |
Gastric cancer; Pepsinogens; Helicobacter pylori; Gastric atrophy; Screening |
| Core Tip |
|
| Publish Date |
2013-01-31 10:59 |
| Citation |
Cao XY, Jia ZF, Jin MS, Cao DH, Kong F, Suo J, Jiang J. Serum pepsinogen Ⅱ is a better diagnostic marker in gastric cancer. World J Gastroenterol 2012; 18(48): 7357-7361 |
| URL |
http://www.wjgnet.com/1007-9327/full/v18/i48/7357.htm |
| DOI |
http://dx.doi.org/10.3748/wjg.v18.i48.7357 |
All content on this site: Copyright © 1993-2026 Baishideng Publishing Group Inc, its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply.
