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Development and External Validation of Survival Prediction Model for Pancreatic Cancer Using Two Nationwide Databases: Surveillance, Epidemiology and End Results (SEER) and Korea Tumor Registry System-Biliary Pancreas (KOTUS-BP).


ABSTRACT:

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.

SUBMITTER: Kang JS 

PROVIDER: S-EPMC8593502 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature

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Publications

Development and External Validation of Survival Prediction Model for Pancreatic Cancer Using Two Nationwide Databases: Surveillance, Epidemiology and End Results (SEER) and Korea Tumor Registry System-Biliary Pancreas (KOTUS-BP).

Kang Jae Seung JS   Mok Lydia L   Heo Jin Seok JS   Han In Woong IW   Shin Sang Hyun SH   Yoon Yoo-Seok YS   Han Ho-Seong HS   Hwang Dae Wook DW   Lee Jae Hoon JH   Lee Woo Jung WJ   Park Sang Jae SJ   Park Joon Seong JS   Kim Yonghoon Y   Lee Huisong H   Yu Young-Dong YD   Yang Jae Do JD   Lee Seung Eun SE   Park Il Young IY   Jeong Chi-Young CY   Roh Younghoon Y   Kim Seong-Ryong SR   Moon Ju Ik JI   Lee Sang Kuon SK   Kim Hee Joon HJ   Lee Seungyeoun S   Kim Hongbeom H   Kwon Wooil W   Lim Chang-Sup CS   Jang Jin-Young JY   Park Taesung T  

Gut and liver 20211101 6


<h4>Background/aims</h4>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.<h4>Methods</h4>Data from the Surveillance,  ...[more]

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