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논문 기본 정보

자료유형
학술저널
저자정보
Kang Jae Seung (Department of Surgery Seoul Metropolitan Government Seoul National University Boramae Medical Cente) Mok Lydia (Department of Statistics and Interdisciplinary Program in Bioinformatics Seoul National University) Heo Jin Seok (Department of Surgery Samsung Medical Center Sungkyunkwan University School of Medicine Seoul Korea) Han In Woong (Department of Surgery Samsung Medical Center Sungkyunkwan University School of Medicine Seoul Korea) Shin Sang Hyun (Department of Surgery Samsung Medical Center Sungkyunkwan University School of Medicine Seoul Korea) Yoon Yoo-Seok (Department of Surgery Seoul National University Bundang Hospital Seoul National University College) Han Ho-Seong (Department of Surgery Seoul National University Bundang Hospital Seoul National University College) Hwang Dae Wook (Department of Surgery Asan Medical Center University of Ulsan College of Medicine Seoul Korea) Lee Jae Hoon (Department of Surgery Asan Medical Center University of Ulsan College of Medicine Seoul Korea) Lee Woo Jung (Division of Hepatobiliary and Pancreatic Surgery Department of Surgery Yonsei University College of) Park Sang Jae (Center for Liver and Pancreatobiliary Cancer National Cancer Center Goyang Korea) Park Joon Seong (Pancreatobiliary Cancer Clinic Department of Surgery Gangnam Severance Hospital Yonsei University C) Kim Yonghoon (Department of Surgery Keimyung University Dongsan Medical Center Keimyung University School of Medi) Lee Huisong (Department of Surgery Ewha Womans University Mokdong Hospital Ewha Womans University School of Medi) Yu Young-Dong (Division of HBP Surgery and Liver Transplantation Department of Surgery Korea University College of) Yang Jae Do (Department of Surgery Jeonbuk National University Medical School Jeonju Korea) Lee Seung Eun (Department of Surgery Chung-Ang University Hospital Chung-Ang University College of Medicine Seoul) Park Il Young (Department of General Surgery Bucheon St. Mary's Hospital College of Medicine The Catholic Universi) Jeong Chi-Young (Department of Surgery Gyeongsang National University Hospital Gyeongsang National University School) Roh Younghoon (Department of Surgery Dong-A University College of Medicine Busan Korea) Kim Seong-Ryong (Department of Surgery Dongguk University Ilsan Hospital Dongguk University College of Medicine Goya) Moon Ju Ik (Department of Surgery Konyang University Hospital Daejeon Korea) Lee Sang Kuon (Department of Surgery Daejeon St. Mary's Hospital College of Medicine The Catholic University of Ko) Kim Hee Joon (Department of Surgery Chonnam National University Hospital Gwangju Korea) Lee Seungyeoun (Department of Mathematics and Statistics Sejong University Seoul Korea) Kim Hongbeom (Department of Surgery and Cancer Research Institute Seoul National University College of Medicine S) Kwon Wooil (Department of Surgery and Cancer Research Institute Seoul National University College of Medicine S) 임창섭 (서울특별시보라매병원) 장진영 (서울대학교) 박태성 (서울대학교)
저널정보
거트앤리버 발행위원회 Gut and Liver Gut and Liver 제15권 제6호
발행연도
2021.11
수록면
912 - 921 (10page)
DOI
10.5009/gnl20306

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Background/Aims: Several prediction models for evaluating the prognosis of nonmetastatic resected pancreatic ductal adenocarcinoma (PDAC) have been developed, and their performances were reported to be superior to that of the 8th edition of the American Joint Committee on Cancer (AJCC) staging system. We developed a prediction model to evaluate the prognosis of resected PDAC and externally validated it with data from a nationwide Korean database. Methods: Data from the Surveillance, Epidemiology and End Results (SEER) database were utilized for model development, and data from the Korea Tumor Registry System-Biliary Pancreas (KOTUS-BP) database were used for external validation. Potential candidate variables for model development were age, sex, histologic differentiation, tumor location, adjuvant chemotherapy, and the AJCC 8th staging system T and N stages. For external validation, the concordance index (C-index) and time-dependent area under the receiver operating characteristic curve (AUC) were evaluated. Results: Between 2004 and 2016, data from 9,624 patients were utilized for model development, and data from 3,282 patients were used for external validation. In the multivariate Cox proportional hazard model, age, sex, tumor location, T and N stages, histologic differentiation, and adjuvant chemotherapy were independent prognostic factors for resected PDAC. After an exhaustive search and 10-fold cross validation, the best model was finally developed, which included all prognostic variables. The C-index, 1-year, 2-year, 3-year, and 5-year time-dependent AUCs were 0.628, 0.650, 0.665, 0.675, and 0.686, respectively. Conclusions: The survival prediction model for resected PDAC could provide quantitative survival probabilities with reliable performance. External validation studies with other nationwide databases are needed to evaluate the performance of this model.

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