An interactive Bayesian model for prediction of lymph node ratio and survival in pancreatic cancer patients.

ABSTRACT:

Background

Regional lymph node status has long been used as a dichotomous predictor of clinical outcomes in cancer patients. More recently, interest has turned to the prognostic utility of lymph node ratio (LNR), quantified as the proportion of positive nodes examined. However, statistical tools for the joint modeling of LNR and its effect on cancer survival are lacking.

Methods

Data were obtained from the NCI SEER cancer registry on 6400 patients diagnosed with pancreatic ductal adenocarcinoma from 2004 to 2010 and who underwent radical oncologic resection. A novel Bayesian statistical approach was developed and applied to model simultaneously patients' true, but unobservable, LNR statuses and overall survival. New web development tools were then employed to create an inter

SUBMITTER: Smith BJ 

PROVIDER: S-EPMC4173165 | biostudies-literature | 2014 Oct

REPOSITORIES: biostudies-literature