Journal article

Multistate models for comparing trends in hospitalizations among young adult survivors of colorectal cancer and matched controls

Rinku Sutradhar, Shawn Forbes, David R Urbach, Lawrence Paszat, Linda Rabeneck, Nancy N Baxter

BMC HEALTH SERVICES RESEARCH | BMC | Published : 2012

Abstract

BACKGROUND: Over the past years, the incidence of colorectal cancer has been increasing among young adults. A large percentage of these patients live at least 5 years after diagnosis, but it is unknown whether their rate of hospitalizations after this 5-year mark is comparable to the general population. METHODS: This is a population-based cohort consisting of 917 young adult survivors diagnosed with colorectal cancer in Ontario from 1992-1999 and 4585 matched cancer-free controls. A multistate model is presented to reflect and compare trends in the hospitalization process among survivors and their matched controls. RESULTS: Analyses under a multistate model indicate that the risk of a subseq..

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Grants

Funding Acknowledgements

This work was supported by a Canadian Institutes of Health Research Operating Grant. Dr. Forbes was supported by an American Society of Colon and Rectal Surgeons, General Surgery Resident Research Initiation Grant. Dr. Paszat is supported by a clinician scientist salary from the Ministry of Health and Long-term Care of Ontario. Dr. Baxter holds the Cancer Care Ontario Health Services Research Chair and an Early Researcher Award from the Ontario Ministry of Research and Innovation. The funding sources had no role in the design, conduct, or reporting of this study, or in the decision to submit the manuscript for publication. This study was conducted at the Institute for Clinical Evaluative Sciences (ICES), which is funded by an annual grant from the Ontario Ministry of Health and Long-Term Care (MOHLTC). The opinions, results and conclusions reported in this paper are those of the authors and are independent from the funding sources. No endorsement by ICES or the Ontario MOHLTC is intended or should be inferred.