Development of a Nomogram to Predict Disease-Specific Survival for Patients After Resection of a Non-Metastatic Adenocarcinoma of the Pancreatic Body and Tail
BackgroundModels for predicting patient survival after resection of a non-metastatic adenocarcinoma of the pancreatic body and tail (APBT) are scarce. We wished to establish and validate a nomogram to predict disease-specific survival (DSS) of these patients.MethodsA total of 1,435 patients screened...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2020-10-01
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| Series: | Frontiers in Oncology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2020.526602/full |
| _version_ | 1818520157239115776 |
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| author | Yiping Zou Yiping Zou Hongwei Han Hongwei Han Shiye Ruan Zhixiang Jian Liang Jin Yuanpeng Zhang Zhihong Chen Zhihong Chen Zi Yin Zuyi Ma Zuyi Ma Haosheng Jin Haosheng Jin Haosheng Jin Menghua Dai Ning Shi Ning Shi |
| author_facet | Yiping Zou Yiping Zou Hongwei Han Hongwei Han Shiye Ruan Zhixiang Jian Liang Jin Yuanpeng Zhang Zhihong Chen Zhihong Chen Zi Yin Zuyi Ma Zuyi Ma Haosheng Jin Haosheng Jin Haosheng Jin Menghua Dai Ning Shi Ning Shi |
| author_sort | Yiping Zou |
| collection | DOAJ |
| description | BackgroundModels for predicting patient survival after resection of a non-metastatic adenocarcinoma of the pancreatic body and tail (APBT) are scarce. We wished to establish and validate a nomogram to predict disease-specific survival (DSS) of these patients.MethodsA total of 1,435 patients screened from the Surveillance, Epidemiology, and End Results (SEER) database were included and divided randomly into a training set (TS; n = 1,007) and internal validation set (IVS; n = 428) at a ratio of 7:3. Cox regression analyses were conducted to select independent predictors in the TS, and a nomogram was constructed. The model was subjected to the IVS and an external validation set (EVS) comprising 151 patients from two tertiary hospitals.ResultsFive independent risk factors (age at the diagnosis, chemotherapy, tumor grade, T stage, and the lymph node radio) were identified and integrated into the nomogram. Calibration curves indicated that the nomogram could predict DSS at 1, 2, and 3 years accurately. The nomogram had a higher concordance index for predicting DSS compared with that using the 8th edition of the American Joint 23 Committee on Cancer (AJCC8) stage (TS: 0.681 vs. 0.606; IVS: 0.662 vs. 0.590; and EVS: 0.675 vs. 0.608). The nomogram had better discrimination ability and clinical utility than the AJCC8 stage for predicting 1-, 2-, and 3-year DSS.ConclusionOur developed nomogram could accurately predict DSS in patients after resection of a non-metastatic APBT. |
| first_indexed | 2024-12-11T01:33:36Z |
| format | Article |
| id | doaj.art-6a00e1514c054d42b71728d04b161ec0 |
| institution | Directory Open Access Journal |
| issn | 2234-943X |
| language | English |
| last_indexed | 2024-12-11T01:33:36Z |
| publishDate | 2020-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Oncology |
| spelling | doaj.art-6a00e1514c054d42b71728d04b161ec02022-12-22T01:25:18ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2020-10-011010.3389/fonc.2020.526602526602Development of a Nomogram to Predict Disease-Specific Survival for Patients After Resection of a Non-Metastatic Adenocarcinoma of the Pancreatic Body and TailYiping Zou0Yiping Zou1Hongwei Han2Hongwei Han3Shiye Ruan4Zhixiang Jian5Liang Jin6Yuanpeng Zhang7Zhihong Chen8Zhihong Chen9Zi Yin10Zuyi Ma11Zuyi Ma12Haosheng Jin13Haosheng Jin14Haosheng Jin15Menghua Dai16Ning Shi17Ning Shi18Department of General Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, ChinaShantou University Medical College, Shantou, ChinaDepartment of General Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, ChinaThe Second School of Clinical Medicine, Southern Medical University, Guangzhou, ChinaDepartment of General Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, ChinaDepartment of General Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, ChinaDepartment of General Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, ChinaDepartment of General Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, ChinaDepartment of General Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, ChinaShantou University Medical College, Shantou, ChinaDepartment of General Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, ChinaDepartment of General Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, ChinaShantou University Medical College, Shantou, ChinaDepartment of General Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, ChinaShantou University Medical College, Shantou, ChinaThe Second School of Clinical Medicine, Southern Medical University, Guangzhou, ChinaDepartment of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaDepartment of General Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, ChinaDepartment of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaBackgroundModels for predicting patient survival after resection of a non-metastatic adenocarcinoma of the pancreatic body and tail (APBT) are scarce. We wished to establish and validate a nomogram to predict disease-specific survival (DSS) of these patients.MethodsA total of 1,435 patients screened from the Surveillance, Epidemiology, and End Results (SEER) database were included and divided randomly into a training set (TS; n = 1,007) and internal validation set (IVS; n = 428) at a ratio of 7:3. Cox regression analyses were conducted to select independent predictors in the TS, and a nomogram was constructed. The model was subjected to the IVS and an external validation set (EVS) comprising 151 patients from two tertiary hospitals.ResultsFive independent risk factors (age at the diagnosis, chemotherapy, tumor grade, T stage, and the lymph node radio) were identified and integrated into the nomogram. Calibration curves indicated that the nomogram could predict DSS at 1, 2, and 3 years accurately. The nomogram had a higher concordance index for predicting DSS compared with that using the 8th edition of the American Joint 23 Committee on Cancer (AJCC8) stage (TS: 0.681 vs. 0.606; IVS: 0.662 vs. 0.590; and EVS: 0.675 vs. 0.608). The nomogram had better discrimination ability and clinical utility than the AJCC8 stage for predicting 1-, 2-, and 3-year DSS.ConclusionOur developed nomogram could accurately predict DSS in patients after resection of a non-metastatic APBT.https://www.frontiersin.org/articles/10.3389/fonc.2020.526602/fullpancreatic body and tail adenocarcinomarisk factorsprognosisnomogramSEER database |
| spellingShingle | Yiping Zou Yiping Zou Hongwei Han Hongwei Han Shiye Ruan Zhixiang Jian Liang Jin Yuanpeng Zhang Zhihong Chen Zhihong Chen Zi Yin Zuyi Ma Zuyi Ma Haosheng Jin Haosheng Jin Haosheng Jin Menghua Dai Ning Shi Ning Shi Development of a Nomogram to Predict Disease-Specific Survival for Patients After Resection of a Non-Metastatic Adenocarcinoma of the Pancreatic Body and Tail Frontiers in Oncology pancreatic body and tail adenocarcinoma risk factors prognosis nomogram SEER database |
| title | Development of a Nomogram to Predict Disease-Specific Survival for Patients After Resection of a Non-Metastatic Adenocarcinoma of the Pancreatic Body and Tail |
| title_full | Development of a Nomogram to Predict Disease-Specific Survival for Patients After Resection of a Non-Metastatic Adenocarcinoma of the Pancreatic Body and Tail |
| title_fullStr | Development of a Nomogram to Predict Disease-Specific Survival for Patients After Resection of a Non-Metastatic Adenocarcinoma of the Pancreatic Body and Tail |
| title_full_unstemmed | Development of a Nomogram to Predict Disease-Specific Survival for Patients After Resection of a Non-Metastatic Adenocarcinoma of the Pancreatic Body and Tail |
| title_short | Development of a Nomogram to Predict Disease-Specific Survival for Patients After Resection of a Non-Metastatic Adenocarcinoma of the Pancreatic Body and Tail |
| title_sort | development of a nomogram to predict disease specific survival for patients after resection of a non metastatic adenocarcinoma of the pancreatic body and tail |
| topic | pancreatic body and tail adenocarcinoma risk factors prognosis nomogram SEER database |
| url | https://www.frontiersin.org/articles/10.3389/fonc.2020.526602/full |
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