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dc.rights.licenseopenen_US
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorCANTRELLE, Christelle
dc.contributor.authorBELOT, Aurélien
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorMONNEREAU, Alain
dc.contributor.authorBIJOU, Fontanet
dc.contributor.authorROSSI, Cédric
dc.contributor.authorBOMMIER, Côme
dc.contributor.authorHAFIRASSOU, Hadia Khebbeb
dc.contributor.authorFOUILLET, Ludovic
dc.contributor.authorGHESQUIÈRES, Hervé
dc.contributor.authorYSEBAERT, Loic
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorLE GUYADER PEYROU, Sandra
dc.date.accessioned2025-09-01T14:06:36Z
dc.date.available2025-09-01T14:06:36Z
dc.date.issued2025-10-01
dc.identifier.issn1877-783Xen_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/207549
dc.description.abstractEnDiffuse large B-cell lymphoma (DLBCL) is an aggressive though potentially curable lymphoid malignancy requiring timely treatment initiation. We investigated the impact of individual socioeconomic status and home area-level (ecological) factors on the diagnosis-to-treatment interval (DTI) in DLBCL patients, focusing on extreme delays in a French real-world cohort (REALYSA). We analyzed patients with newly diagnosed DLBCL in the multicentric prospective cohort. DTI was defined as a duration in days between diagnosis confirmation and first-line therapy. Short and long DTIs (10th percentiles) were compared to intermediate DTI using multinomial models to identify factors associated with extreme DTIs. Socio-demographic data (including sex, education, employment, marital status, social support (SSQ6-score)…) and ecological characteristics (French deprivation index, local accessibility to general practitioners) were considered. Among 889 newly diagnosed DLBCL patients (median age 66 years, 49 % with aaIPI ≥1, 35 % with B-symptoms, 33 % with bulky disease), median DTI was 25 days (interquartile range: 15-39 days). The 10th- and 90th-percentile for extreme DTIs were  50 days respectively. In multivariable analysis, factors associated with short DTI included aaIPI (OR=3.03, CI95 %[1.44-6.41]), bulky disease (OR=3.06, CI95 %[1.68-5.58]), and B symptoms (OR=2.35, CI95 %[1.30-4.25]) - indicating expedited treatment for aggressive presentations. Conversely, factors associated with long DTI included older age (OR>80 y = 3.31, CI95 %[1.39-7.89]), being a blue-collar worker or farmer (OR=2.36, CI95 %[1.18-4.73]), or changing type of treatment facility between biopsy and initial treatment. In this large real-world cohort of newly diagnosed DLBCL patients, age, occupational status, and patients' pathway were linked to very long delays to treatment. Interventions to streamline DTIs, especially for older and/or blue-collar or farmer patients, and for those changing facility of treatment, are warranted to improve quality of care.
dc.language.isoENen_US
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.subject.enDiagnosis-to-treatment interval
dc.subject.enDiffuse large B-cell lymphoma
dc.subject.enNon-Hodgkin lymphoma
dc.subject.enOld patients
dc.subject.enReal-world data
dc.subject.enSocioeconomic factors
dc.title.enImpact of socioeconomic individual and ecological factors on extreme diagnosis-to-treatment interval in diffuse large B-Cell lymphoma in the French real-world cohort REALYSA.
dc.title.alternativeCancer Epidemiolen_US
dc.typeArticle de revueen_US
dc.identifier.doi10.1016/j.canep.2025.102875en_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
dc.identifier.pubmed40816044en_US
bordeaux.journalCancer Epidemiologyen_US
bordeaux.page102875en_US
bordeaux.volume98en_US
bordeaux.hal.laboratoriesBordeaux Population Health Research Center (BPH) - UMR 1219en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionINSERMen_US
bordeaux.teamEPICENE_BPHen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.identifier.funderIDLigue Contre le Canceren_US
bordeaux.import.sourcepubmed
hal.identifierhal-05233735
hal.version1
hal.date.transferred2025-09-01T14:06:39Z
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exporttrue
workflow.import.sourcepubmed
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Cancer%20Epidemiology&rft.date=2025-10-01&rft.volume=98&rft.spage=102875&rft.epage=102875&rft.eissn=1877-783X&rft.issn=1877-783X&rft.au=CANTRELLE,%20Christelle&BELOT,%20Aur%C3%A9lien&MONNEREAU,%20Alain&BIJOU,%20Fontanet&ROSSI,%20C%C3%A9dric&rft.genre=article


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