Publication Name	World Journal of Gastrointestinal Surgery
Manuscript ID	68352
Country	China

Category	Peripheral Vascular Disease
Manuscript Type	Retrospective Study
Article Title	Development and validation of a prediction model for deep vein thrombosis in older non-mild acute pancreatitis patients
Manuscript Source	Unsolicited Manuscript
All Author List	Du-Jiang Yang, Mao Li, Chao Yue, Wei-Ming Hu and Hui-Min Lu
Funding Agency and Grant Number	Funding Agency Grant Number The Sichuan Provincial Department of Science and Technology Supporting Project 2018SZ0381 1.3.5 project for disciplines of excellence, West China Hospital, Sichuan University ZYJC18027
Corresponding Author	Hui-Min Lu, PhD, Professor, Department of Pancreatic Surgery, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu 610041, Sichuan Province, China. hm.lu@scu.edu.cn
Key Words	Acute pancreatitis; Deep vein thrombosis; Prediction model; Bootstrap; Nomogram; Discrimination and calibration
Core Tip	Deep vein thrombosis (DVT) may cause pulmonary embolus, leading to late death. Few studies have focused on DVT in moderate and severe acute pancreatitis. We identified eight predictors and developed and established a prediction nomogram model for DVT in older patients with moderate and severe acute pancreatitis. This model achieved good concordance indexes and may help guide doctors in the administration of DVT prophylaxis.
Citation	Yang DJ, Li M, Yue C, Hu WM, Lu HM. Development and validation of a prediction model for deep vein thrombosis in older non-mild acute pancreatitis patients. World J Gastrointest Surg 2021; 13(10): 1258-1266

Received	2021-05-20 11:55
Peer-Review Started	2021-05-20 11:59
To Make the First Decision
Return for Revision	2021-06-24 11:55
Revised	2021-07-01 12:14
Second Decision	2021-09-17 03:24
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief	2021-09-19 09:09
Articles in Press	2021-09-19 09:09
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2021-10-22 01:43

ISSN	1948-9366 (online)
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