Nomograms for predicting survival and recurrence in patients with adenoid cystic carcinoma. An international collaborative study.

ABSTRACT:

Background

Due to the rarity of adenoid cystic carcinoma (ACC), information on outcome is based upon small retrospective case series. The aim of our study was to create a large multiinstitutional international dataset of patients with ACC in order to design predictive nomograms for outcome.

Methods

ACC patients managed at 10 international centers were identified. Patient, tumor, and treatment characteristics were recorded and an international collaborative dataset created. Multivariable competing risk models were then built to predict the 10 year recurrence free probability (RFP), distant recurrence free probability (DRFP), overall survival (OS) and cancer specific mortality (CSM). All predictors of interest were added in the starting full models before selection, including

SUBMITTER: Ganly I 

PROVIDER: S-EPMC4988233 | biostudies-literature | 2015 Dec

REPOSITORIES: biostudies-literature