Risk factors and survival prediction of pancreatic cancer with lung metastases: A population-based study.

ABSTRACT:

Background

The risk and prognosis of pancreatic cancer with lung metastasis (PCLM) are not well-defined. Thus, this study aimed to identify the risk and prognostic factors for these patients, and establish predictive nomogram models.

Methods

Patients diagnosed with PCLM between 2010 and 2016 were identified from the Surveillance, Epidemiology, and End Results (SEER) database. Independent risk factors and prognostic factors were identified using logistic regression and Cox regression analyses. Nomograms were constructed to predict the risk and survival of PCLM, and the area under the curve (AUC), C-index, and calibration curve were used to determine the predictive accuracy and discriminability of the established nomogram, while the decision curve analysis was used to confirm

SUBMITTER: Yao ZX 

PROVIDER: S-EPMC9533144 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature