Publication:
Bayesian estimates of the incidence of rare cancers in Europe

Simple item page
dc.contributor.authorBotta, L
dc.contributor.authorCapocaccia, R
dc.contributor.authorTrama, A
dc.contributor.authorHerrmann, C
dc.contributor.authorSalmerón, D
dc.contributor.authorDe Angelis, R
dc.contributor.authorMallone, S
dc.contributor.authorBidoli, E
dc.contributor.authorMarcos- Gragera, R
dc.contributor.authorDudek-Godeau, D
dc.contributor.authorGatta, G
dc.contributor.authorCleries, R
dc.contributor.departmentCiencias Sociosanitarias
dc.date.accessioned2024-01-16T08:04:37Z
dc.date.available2024-01-16T08:04:37Z
dc.date.issued2018-06
dc.description© 2018 Elsevier Ltd This document is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ This document is the accepted version of a published work that appeared in final form in Cancer Epidemiology.es
dc.description.abstractBackground: The RARECAREnet project has updated the estimates of the burden of the 198 rare cancers in each European country. Suspecting that scant data could affect the reliability of statistical analysis, we employed a Bayesian approach to estimate the incidence of these cancers. Methods: We analyzed about 2,000,000 rare cancers diagnosed in 2000–2007 provided by 83 population-based cancer registries from 27 European countries. We considered European incidence rates (IRs), calculated over all the data available in RARECAREnet, as a valid a priori to merge with country-specific observed data. Therefore we provided (1) Bayesian estimates of IRs and the yearly numbers of cases of rare cancers in each country; (2) the expected time (T) in years needed to observe one new case; and (3) practical criteria to decide when to use the Bayesian approach. Results: Bayesian and classical estimates did not differ much; substantial differences (> 10%) ranged from 77 rare cancers in Iceland to 14 in England. The smaller the population the larger the number of rare cancers needing a Bayesian approach. Bayesian estimates were useful for cancers with fewer than 150 observed cases in a country during the study period; this occurred mostly when the population of the country is small. Conclusion: For the first time the Bayesian estimates of IRs and the yearly expected numbers of cases for each rare cancer in each individual European country were calculated. Moreover, the indicator T is useful to convey incidence estimates for exceptionally rare cancers and in small countries; it far exceeds the professional lifespan of a medical doctor.es
dc.formatapplication/pdfes
dc.format.extent6es
dc.identifier.citationCancer Epidemiology, Vol.54, June 2018, Pages 95-100
dc.identifier.doihttps://doi.org/10.1016/j.canep.2018.04.003
dc.identifier.issn1877-7821
dc.identifier.urihttp://hdl.handle.net/10201/137325
dc.languageenges
dc.publisherElsevieres
dc.relationThis work was supported by European Commission through the Consumers, Health, Agriculture and Food Executive Agency (Chafea) (grant number 2000111201). Project title ‘Information network on rare cancers’ – RARECARENet. The funders had no role in study design, data collection, analysis or interpretation, or writing of the report. The corresponding author had full access to all data and had final responsibility for the decision to submit for publication.es
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S1877782118301000?via%3Dihubes
dc.rightsinfo:eu-repo/semantics/openAccesses
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectEuropean countrieses
dc.subjectIncidencees
dc.subjectRare canceres
dc.subjectPopulation-based cancer registrieses
dc.subjectBayesian analysises
dc.titleBayesian estimates of the incidence of rare cancers in Europees
dc.typeinfo:eu-repo/semantics/articlees
dspace.entity.typePublicationes
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
BayesinEstimates_RARECANCER_preprint.pdf
Size:
716.4 KB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
2.26 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Artículos