肝外胆管癌预后列线图的建立与验证（表1）

数据集获取（Figshare）

• 源站标题：Table_1_Establishment and validation of a prognostic nomogram for extrahepatic cholangiocarcinoma.docx
• DOI：10.3389/fonc.2022.1007538.s002
• 发布日期：2022-11-24
• 文件数：1 个
• 文件总体积：11.50 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Table_1_Establishment_and_validation_of_a_prognostic_nomogram_for_extrahepatic_cholangiocarcinoma_docx/21616926

命令行下载

curl -L -o "Table_1_Establishment and validation of a prognostic nomogram for extrahepatic cholangiocarcinoma.docx" "https://ndownloader.figshare.com/files/38310342"

文件清单

• Table_1_Establishment and validation of a prognostic nomogram for extrahepatic cholangiocarcinoma.docx（11.50 KB）

文件总体积 11.50 KB（源站 API 实测）。

数据说明

Simple summaryAccurately estimate the prognosis of patients with ECCA is important. However, the TNM system has some limitations, such as low accuracy, exclusion of other factors (e.g., age and sex), and poor performance in predicting individual survival risk. In contrast, a nomogram-based clinical model related to a comprehensive analysis of all risk factors is intuitive and straightforward, facilitating the probabilistic analysis of tumor-related risk factors. Simultaneously, a nomogram can also effectively drive personalized medicine and facilitate clinicians for prognosis prediction. Therefore, we construct a novel practical nomogram and risk stratification system to predict CSS in patients with ECCA.
BackgroundAccurately estimate the prognosis of patients with extrahepatic cholangiocarcinoma (ECCA) was important, but the existing staging system has limitations. The present study aimed to construct a novel practical nomogram and risk stratification system to predict cancer-specific survival (CSS) in ECCA patients.
Methods3415 patients diagnosed with ECCA between 2010 and 2015 were selected from the SEER database and randomized into a training cohort and a validation cohort at 7:3. The nomogram was identified and calibrated using the C-index, receiver operating characteristic curve (ROC), and calibration plots. Decision curve analysis (DCA), net reclassification index (NRI), integrated discrimination improvement (IDI) and the risk stratification were used to compare the nomogram with the AJCC staging system.
ResultsNine variables were selected to establish the nomogram. The C-index (training cohort:0.785; validation cohort:0.776) and time-dependent AUC (>0.7) showed satisfactory discrimination. The calibration plots also revealed that the nomogram was consistent with the actual observations. The NRI (training cohort: 1-, 2-, and 3-year CSS:0.27, 0.27,0.52; validation cohort:1-,2-,3-year CSS:0.48,0.13,0.34), IDI (training cohort: 1-, 2-, 3-year CSS:0.22,0.18,0.16; validation cohort: 1-,2-,3-year CSS:0.18,0.16,0.17), and DCA indicated that the established nomogram significantly outperformed the AJCC staging system (PWe developed a practical prognostic nomogram

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fonc.2022.1007538.s002（source: https://frontiersin.figshare.com/articles/dataset/Table_1_Establishment_and_validation_of_a_prognostic_nomogram_for_extrahepatic_cholangiocarcinoma_docx/21616926）。