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Cancer survivors in Switzerland : a rapidly growing population to care for

Herrmann, Christian and Cerny, Thomas and Savidan, Anita and Vounatsou, Penelope and Konzelmann, Isabelle and Bouchardy, Christine and Frick, Harald and Ess, Silvia. (2013) Cancer survivors in Switzerland : a rapidly growing population to care for. BMC cancer, Vol. 13 , 287.

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Official URL: http://edoc.unibas.ch/dok/A6164915

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Abstract

Cancer survivors are a heterogeneous group with complex health problems. Data concerning its total number and growing dynamics for Switzerland are scarce and outdated.; Population and mortality data were retrieved from the Swiss Federal Statistical Office (FSO). Incidence and relative survival for invasive cancers were computed using data from the cancer registries Geneva (1970-2009), St. Gallen - Appenzell (1980-2010), Grisons & Glarus (1989-2010), and Valais (1989-2010). We estimated prevalence for 1990-2010 using the Prevalence, Incidence Approach MODel (PIAMOD) method. We calculated trends in prevalence estimates by Joinpoint analysis. Projections were extrapolated using the above models and based on time trends of the period 2007-2010.; The estimated number of cancer survivors increased from 139'717 in 1990 (2.08% of the population) to 289'797 persons in 2010 (3.70%). The growth rate shows an exponential shape and was 3.3% per year in the period 2008 to 2010. Almost half of the survivors have a history of breast, prostate or colorectal cancer. Among cancer survivors, 55% are women but the increases have been more marked in men (p > 0.01, 3.9% annual increase in men vs. 2.7% in women since 2008). By the end of 2020 372'000 cancer survivors are expected to live in Switzerland.; There is a rapidly growing population of cancer survivors in Switzerland whose needs and concerns are largely unknown.
Faculties and Departments:09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH)
09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) > Department of Epidemiology and Public Health (EPH) > Biostatistics > Bayesian Modelling and Analysis (Vounatsou)
UniBasel Contributors:Vounatsou, Penelope
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:BioMed Central
ISSN:1471-2407
Note:Publication type according to Uni Basel Research Database: Journal article
Language:English
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Last Modified:31 Dec 2015 10:54
Deposited On:08 Nov 2013 08:29

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