Nomogram for predicting the benefit of adjuvant chemoradiotherapy for resected gallbladder cancer
- PMID: 22067404
- PMCID: PMC3236647
- DOI: 10.1200/JCO.2010.33.8020
Nomogram for predicting the benefit of adjuvant chemoradiotherapy for resected gallbladder cancer
Abstract
Purpose: Although adjuvant chemoradiotherapy for resected gallbladder cancer may improve survival for some patients, identifying which patients will benefit remains challenging because of the rarity of this disease. The specific aim of this study was to create a decision aid to help make individualized estimates of the potential survival benefit of adjuvant chemoradiotherapy for patients with resected gallbladder cancer.
Methods: Patients with resected gallbladder cancer were selected from the Surveillance, Epidemiology, and End Results (SEER) -Medicare database who were diagnosed between 1995 and 2005. Covariates included age, race, sex, stage, and receipt of adjuvant chemotherapy or chemoradiotherapy (CRT). Propensity score weighting was used to balance covariates between treated and untreated groups. Several types of multivariate survival regression models were constructed and compared, including Cox proportional hazards, Weibull, exponential, log-logistic, and lognormal models. Model performance was compared using the Akaike information criterion. The primary end point was overall survival with or without adjuvant chemotherapy or CRT.
Results: A total of 1,137 patients met the inclusion criteria for the study. The lognormal survival model showed the best performance. A Web browser-based nomogram was built from this model to make individualized estimates of survival. The model predicts that certain subsets of patients with at least T2 or N1 disease will gain a survival benefit from adjuvant CRT, and the magnitude of benefit for an individual patient can vary.
Conclusion: A nomogram built from a parametric survival model from the SEER-Medicare database can be used as a decision aid to predict which gallbladder patients may benefit from adjuvant CRT.
Conflict of interest statement
Authors' disclosures of potential conflicts of interest and author contributions are found at the end of this article.
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Comment in
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When a decision must be made: role of computer modeling in clinical cancer research.J Clin Oncol. 2011 Dec 10;29(35):4602-4. doi: 10.1200/JCO.2011.37.8604. Epub 2011 Nov 7. J Clin Oncol. 2011. PMID: 22067392 No abstract available.
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