Title
Survival prediction models for estimating the benefit of post-operative radiation therapy for gallbladder cancer and lung cancer.
Abstract
The role of post-operative radiotherapy (PORT) is still controversial for some cancer sites. In the absence of large randomized controlled trials, survival prediction models can help estimate the predicted benefit of PORT for specific settings. The purpose of this study was to compare the performance of two types of prediction models for estimating the benefit of PORT for 2 cancer sites. Using data from the Surveillance, Epidemiology, and End Results database, we constructed prediction models for gallbladder (GB) cancer and non-small cell lung cancer (NSMLC), using Cox proportional hazards and Random Survival Forests. We compared validation measures for discrimination and found that both the CPH and RSF models had comparable C-indices. For GB cancer, PORT was associated with improved survival for node positive patients, and for NSCLC, PORT was associated with a survival benefit for patients with N2 disease.
Year
Venue
Keywords
2008
AMIA
survival analysis,proportional hazards models,risk factors,risk assessment
Field
DocType
ISSN
Oncology,Lung cancer,Survival rate,Proportional hazards model,Internal medicine,Randomized controlled trial,Gallbladder cancer,Radiation therapy,Survival analysis,Surgery,Medicine,Cancer
Conference
1942-597X
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Jayashree Kalpathy-Cramer184361.53
William Hersh22491307.00
Jong Song Kim300.34
Charles R Thomas400.34
Samuel J. Wang5339.62