A multistate modelling approach for pancreatic cancer development in genetically high-risk families
Open accessAbstract
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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Diabetes predisposes to cancer in hereditary pancreatitis.
“and that diabetes predisposes for cancer in hereditary pancreatitis.100”
From Early detection of pancreatic cancer (2020) · cites this paper as [100]
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Cites
Diabetes mellitus and pancreaticcancer mortality in a prospectivecohort of United States adults
Calle, E. E., Murphy, T. K., Rodriguez, C., Thun, M. J., & Heath, C. W. (1998) · Cancer Causes & Control · doi:10.1023/a:1008819701485 · Cited by 143 · see citing works
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Early detection of pancreatic cancer
Pereira, S. P., Oldfield, L., Ney, A., Hart, P. A., Keane, M. G., Pandol, S. J., Li, D., Greenhalf, W., Jeon, C. Y., Koay, E. J., et al. (2020) · The Lancet Gastroenterology & Hepatology · doi:10.1016/s2468-1253(19)30416-9 · Cited by 482 · see citing works
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- Authors
- Kolamunnage-Dona, R., Vitone, L., Greenhalf, W., Henderson, R., & Williamson, P. R.
- Affiliations
- University of Liverpool , UK
- Royal Liverpool University Hospital (GB)
- Newcastle University (GB)
- University of Liverpool (GB)
- Venue
- Journal of the Royal Statistical Society Series C: Applied Statistics
- Publisher
- Oxford University Press (OUP)
- Published
- 2012-07-27
- Volume
- 62
- Issue
- 2
- Pages
- 201-212
- ISSN
- 0035-9254 (ISSN-L)
- 1467-9876
- OpenAlex
- W1753716240
- Cited by
- 3
- References
- 1
- Citations by year
- 2020: 1 · 2016: 1 · 2013: 1
- FWCI
- 0.16
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model (vor)
- Locations
- Journal of the Royal Statistical Society Series C (Applied Statistics) (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Newcastle University ePrints (Newcastle Univesity)
- Topics
- Health Sciences › Medicine › Oncology › Pancreatic and Hepatic Oncology Research
- Health Sciences › Medicine › Surgery › Pancreatitis Pathology and Treatment
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Distribution Estimation and Applications
- Keywords
- pancreatic cancer, hereditary pancreatitis, diabetes onset, multi-state models, competing risks, time-varying covariates, pancreatic resection, cancer registry data
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