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dc.contributor.authorBlanch, Jordi
dc.contributor.authorSala i Serra, Maria
dc.contributor.authorIbáñez, Josefa
dc.contributor.authorDomingo, Laia
dc.contributor.authorFernández, Belén
dc.contributor.authorOtegi, Arantza
dc.contributor.authorBarata, Teresa
dc.contributor.authorZubizarreta, Raquel
dc.contributor.authorFerrer, Joana
dc.contributor.authorCastells, Xavier
dc.contributor.authorRué i Monné, Montserrat
dc.contributor.authorSalas, Dolores
dc.contributor.authorInterval Cancer Study Group
dc.date.accessioned2015-09-22T12:15:28Z
dc.date.available2015-09-22T12:15:28Z
dc.date.issued2014-10-21
dc.identifier.issn1932-6203
dc.identifier.urihttp://hdl.handle.net/10459.1/48733
dc.description.abstractBackground: Interval cancers are primary breast cancers diagnosed in women after a negative screening test and before the next screening invitation. Our aim was to evaluate risk factors for interval cancer and their subtypes and to compare the risk factors identified with those associated with incident screen-detected cancers. Methods: We analyzed data from 645,764 women participating in the Spanish breast cancer screening program from 2000-2006 and followed-up until 2009. A total of 5,309 screen-detected and 1,653 interval cancers were diagnosed. Among the latter, 1,012 could be classified on the basis of findings in screening and diagnostic mammograms, consisting of 489 true interval cancers (48.2%), 235 false-negatives (23.2%), 172 minimal-signs (17.2%) and 114 occult tumors (11.3%). Information on the screening protocol and women's characteristics were obtained from the screening program registry. Cause-specific Cox regression models were used to estimate the hazard ratios (HR) of risks factors for interval cancer and incident screen-detected cancer. A multinomial regression model, using screen-detected tumors as a reference group, was used to assess the effect of breast density and other factors on the occurrence of interval cancer subtypes. Results: A previous false-positive was the main risk factor for interval cancer (HR = 2.71, 95%CI: 2.28-3.23); this risk was higher for false-negatives (HR = 8.79, 95%CI: 6.24-12.40) than for true interval cancer (HR = 2.26, 95%CI: 1.59-3.21). A family history of breast cancer was associated with true intervals (HR = 2.11, 95%CI: 1.60-2.78), previous benign biopsy with a false-negatives (HR = 1.83, 95%CI: 1.23-2.71). High breast density was mainly associated with occult tumors (RRR = 4.92, 95%CI: 2.58-9.38), followed by true intervals (RRR = 1.67, 95%CI: 1.18-2.36) and false-negatives (RRR = 1.58, 95%CI: 1.00-2.49). Conclusion: The role of women's characteristics differs among interval cancer subtypes. This information could be useful to improve effectiveness of breast cancer screening programmes and to better classify subgroups of women with different risks of developing cancer.
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherPublic Library of Science
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.1371/journal.pone.0110207
dc.relation.ispartofPlos One, 2014, vol. 9 , num. 10, p. e110207
dc.rightscc-by (c) Blanch, Jordi et al., 2014
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es
dc.subject.classificationCàncer de mama
dc.subject.otherBreast cancer
dc.titleImpact of risk factors on different interval cancer subtypes in a population-based breast cancer screening programme
dc.typeinfo:eu-repo/semantics/article
dc.date.updated2015-09-22T12:15:28Z
dc.identifier.idgrec021639
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.identifier.doihttps://doi.org/10.1371/journal.pone.0110207


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cc-by (c) Blanch, Jordi et al., 2014
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