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A multistate modelling approach for pancreatic cancer development in genetically high-risk families

Authors


Address for correspondence: Ruwanthi Kolamunnage-Dona, Department of Biostatistics, Institute of Translational Medicine, University of Liverpool, Brownlow Street, Liverpool, L69 3GS, UK.
E-mail: kdrr@liv.ac.uk

Abstract

Summary.  The paper describes a complex multistate modelling approach for the analysis of association between the onset of diabetes and the diagnosis of pancreatic cancer among families with hereditary pancreatitis. The model allows for competing risks, correlated survival times and time-dependent covariates, so taking several interrelated factors into account: the consequences of pancreatic resection, genetic similarities between family members and the possibility that the onset of diabetes is the first symptom of an undiagnosed pancreatic cancer. The model is applied to data on diabetes and cancer outcomes for 593 pancreatitis patients, taken from the world's largest registry of patients with heredity pancreatitis.

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