Wu JY, Wang YF, Ma H, Li SS, Miao HL. Nomograms predicting long-term survival in patients with invasive intraductal papillary mucinous neoplasms of the pancreas: A population-based study. World J Gastroenterol 2020; 26(5): 535-549 [PMID: 32089629 DOI: 10.3748/wjg.v26.i5.535]
Corresponding Author of This Article
Hui-Lai Miao, MD, Professor, Department of Clinical Research, the Affiliated Hospital of Guangdong Medical University, No. 57 South of Renmin Avenue, Zhanjiang 524001, Guangdong Province, China. 627225370@qq.com
Research Domain of This Article
Oncology
Article-Type of This Article
Retrospective Study
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Wu JY, Wang YF, Ma H, Li SS, Miao HL. Nomograms predicting long-term survival in patients with invasive intraductal papillary mucinous neoplasms of the pancreas: A population-based study. World J Gastroenterol 2020; 26(5): 535-549 [PMID: 32089629 DOI: 10.3748/wjg.v26.i5.535]
Jia-Yuan Wu, Hui-Lai Miao, Department of Clinical Research, the Affiliated Hospital of Guangdong Medical University, Zhanjiang 524001, Guangdong Province, China
Yu-Feng Wang, Huan Ma, Sha-Sha Li, School of Public Health, Guangdong Medical University, Zhanjiang 524023, Guangdong Province, China
Hui-Lai Miao, Department of Hepatobiliary Surgery, the Affiliated Hospital of Guangdong Medical University, Zhanjiang 524001, Guangdong Province, China
Hui-Lai Miao, Department of Hepatobiliary Surgery, the Second Affiliated Hospital of Guangdong Medical University, Zhanjiang 524003, Guangdong Province, China
Author contributions: Wu JY and Wang YF contributed equally to this work. All authors helped to performed the research; Wu JY contributed to manuscript writing, data extraction, and data analysis; Wang YF contributed to manuscript writing, drafting, conception and design; Ma H contributed to manuscript writing, data collection, and statistical analysis; Li SS contributed to manuscript writing, statistical software, and data analysis; Miao HL contributed to study design, manuscript writing, drafting, conception and design.
Supported byNational Natural Science Foundation of China, No. 81702270; the Natural Science Foundation of Guangdong, No. 2015A030313827; The Affiliated Hospital of Guangdong Medical University Clinical Research Program, No. LCYJ2018C012.
Institutional review board statement: This study was reviewed and approved by the Ethics Committee of the Affiliated Hospital of Guangdong Medical University.
Informed consent statement: Patients were not required to give informed consent to the study because this study used a public database with anonymous clinical data and the patients’ personal privacy information was not available.
Conflict-of-interest statement: All authors declare no conflicts of interest related to this article.
Data sharing statement: The relevant data in this study can be obtained in the SEER database.
Corresponding author: Hui-Lai Miao, MD, Professor, Department of Clinical Research, the Affiliated Hospital of Guangdong Medical University, No. 57 South of Renmin Avenue, Zhanjiang 524001, Guangdong Province, China. 627225370@qq.com
Received: November 7, 2019 Peer-review started: November 7, 2019 First decision: December 7, 2019 Revised: January 6, 2020 Accepted: January 11, 2020 Article in press: January 11, 2020 Published online: February 7, 2020 Processing time: 91 Days and 21.8 Hours
Core Tip
Core tip: Due to its rarity, it is difficult to develop a prognostic nomogram for intraductal papillary mucinous neoplasms (IPMNs) of the pancreas in a single institution; however, the Surveillance, Epidemiology, and End Results database has provided useful data on prognosis. To date, no study has focused on a predictive model for the prognosis of IPMNs. In this study, we developed nomograms to predict the probability of overall survival and cancer-specific survival at different time points in patients with invasive IPMNs of the pancreas based on the Surveillance, Epidemiology, and End Results dataset. Compared with the American Joint Committee on Cancer 7th staging system, the formulated nomograms in this study showed perfect performance in terms of discrimination, calibration, reclassification, and clinical usefulness.
