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Dataset Information

Clinical characteristics and survival prediction of surgical patients with invasive pancreatic cystic neoplasm: a large retrospective study over two decades.


ABSTRACT:

Purposes

Invasive pancreatic cystic neoplasms (iPCNs) are an uncommon and biologically heterogeneous group of malignant neoplasms. We aimed to investigate the clinicopathological characteristics of iPCN patients and to develop nomograms for individual survival prediction after radical surgery.

Methods

Data of patients diagnosed with iPCN and pancreatic ductal adenocarcinoma (PDAC) between 2000 and 2018 from the SEER database were retrieved. The differences in clinical outcomes were evaluated using the Kaplan-Meier analysis. Nomograms were proposed based on the Cox regression model and internally validated by C-index, area under the curve (AUC) value, and calibration plot.

Results

A total of 7777 iPCN patients and 154,336 PDAC patients were enrolled. Most neoplasms wer

SUBMITTER: Song Y 

PROVIDER: S-EPMC10463826 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature