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dc.rights.licenseopenen_US
dc.contributor.authorGALVIN, A.
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorDELVA, Fleur
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorHELMER, Catherine
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorRAINFRAY, Muriel
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorBELLERA, Carine
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorRONDEAU, Virginie
dc.contributor.authorSOUBEYRAN, P.
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorCOUREAU, Gaelle
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorMATHOULIN-PELISSIER, Simone
dc.date.accessioned2020-11-10T11:13:35Z
dc.date.available2020-11-10T11:13:35Z
dc.date.issued2018-01
dc.identifier.issn1879-4068en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/12196
dc.description.abstractEnStudies on cancer survival have revealed disparities not only between the elderly and their younger counterparts, but also among the elderly themselves. The aim of this work was to identify sociodemographic, socioeconomic, clinical, and care-related determinants of survival or mortality in older patients with cancer by a systematic synthesis of the literature. Understanding these factors is of great value for guiding health policies and programs aimed at reducing cancer survival disparities. We conducted a search of MEDLINE and SCOPUS databases under PRISMA guidelines. Results were limited to articles published in English and French from 2005 to 2015, and focused on elderly patients with cancer. The article selection was performed in a stepwise fashion: title, abstract, and full-text selection. Studied determinants and results of each article were synthesized. Forty-five articles were eligible and included in the study. We observed different ways of measuring socioeconomic status, comorbidities, and treatment among studies. Cancer-specific and overall survival were the main studied outcomes. Advanced age, low income, low socioeconomic status, presence of comorbidities, advanced stage, and poor tumor grade were found to be associated with lower survival or higher mortality. On the other hand, female gender and being married were predictive of increased survival or lower mortality. The next logical step is to carry out studies on elderly patients from different countries and to incorporate pertinent factors in a unique model. Moreover, specific geriatric health impairments should be taken into account in further research because of their association with survival.
dc.language.isoENen_US
dc.subject.enBiostatistics
dc.subject.enLEHA
dc.subject.enCIC1401
dc.subject.enEPICENE
dc.title.enSociodemographic, socioeconomic, and clinical determinants of survival in patients with cancer: A systematic review of the literature focused on the elderly
dc.title.alternativeJ Geriatr Oncolen_US
dc.typeArticle de revueen_US
dc.identifier.doi10.1016/j.jgo.2017.07.007en_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
dc.identifier.pubmed29030150en_US
bordeaux.journalJournal of geriatric oncologyen_US
bordeaux.page6-14en_US
bordeaux.volume9en_US
bordeaux.hal.laboratoriesBordeaux Population Health Research Center (BPH) - U1219en_US
bordeaux.issue1en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.teamBIOSTAT_BPHen_US
bordeaux.teamEPICENE_BPH
bordeaux.teamLEHA_BPH
bordeaux.teamCIC1401en_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.identifierhal-02997943
hal.version1
hal.date.transferred2020-11-10T11:13:39Z
hal.exporttrue
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