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dc.rights.licenseopenen_US
dc.contributor.authorGONZALEZ SERRANO, Adolfo
dc.contributor.authorLAURENT, Marie
dc.contributor.authorBARNAY, Thomas
dc.contributor.authorMARTÍNEZ-TAPIA, Claudia
dc.contributor.authorAUDUREAU, Etienne
dc.contributor.authorBOUDOU-ROUQUETTE, Pascaline
dc.contributor.authorAPARICIO, Thomas
dc.contributor.authorROLLOT-TRAD, Florence
dc.contributor.authorSOUBEYRAN, Pierre
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorBELLERA, Carine
dc.contributor.authorCAILLET, Philippe
dc.contributor.authorPAILLAUD, Elena
dc.contributor.authorCANOUI-POITRINE, Florence
dc.date.accessioned2022-11-29T08:37:02Z
dc.date.available2022-11-29T08:37:02Z
dc.date.issued2022-10-28
dc.identifier.issn1527-7755 (Electronic) 0732-183X (Linking)en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/170412
dc.description.abstractEnPURPOSE: The intended clinical value of frailty screening is to identify unfit patients needing geriatric assessment (GA) and to prevent unnecessary GA in fit patients. These hypotheses rely on the sensitivity and specificity of screening tests, but they have not been verified. METHODS: We performed a cross-sectional analysis of outpatients age >/= 70 years with prostate, breast, colorectal, or lung cancer included in the ELCAPA cohort study (ClinicalTrials.gov identifier: NCT02884375) between February 2007 and December 2019. The diagnostic accuracy of the G8 Geriatric Screening Tool (G8) and modified G8 scores for identifying unfit patients was determined on the basis of GA results. We used decision curve analysis to calculate the benefit of frailty screening for detecting unfit patients and avoiding unnecessary GA in fit patients across different threshold probabilities. RESULTS: We included 1,648 patients (median age, 81 years), and 1,428 (87%) were unfit. The sensitivity and specificity were, respectively, 85% (95% CI, 84 to 87) and 59% (95% CI, 57 to 61) for G8, and 86% (95% CI, 84 to 87) and 60% (95% CI, 58 to 63) for the modified G8 score. For decision curve analysis, the net benefit (NB) for identifying unfit patients were 0.72 for G8, 0.72 for the modified G8, and 0.82 for GA at a threshold probability of 0.25. At a threshold probability of 0.33, the NBs were 0.71, 0.72, and 0.80, respectively. At a threshold probability of 0.5, the NBs were 0.68, 0.69, and 0.73, respectively. No screening tool reduced unnecessary GA in fit patients at predefined threshold probabilities. CONCLUSION: Although frailty screening tests showed good diagnostic accuracy, screening showed no clinical benefits over the GA-for-all strategy. NB approaches, in addition to diagnostic accuracy, are necessary to assess the clinical value of tests.
dc.description.sponsorshipLIfe trajectories and health VulnErability - ANR-18-EURE-0011en_US
dc.language.isoENen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.title.enA Two-Step Frailty Assessment Strategy in Older Patients With Solid Tumors: A Decision Curve Analysis
dc.typeArticle de revueen_US
dc.identifier.doi10.1200/jco.22.01118en_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
dc.identifier.pubmed36306481en_US
bordeaux.journalJournal of Clinical Oncologyen_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.funderIDInstitut National Du Canceren_US
hal.identifierhal-03876999
hal.version1
hal.date.transferred2022-11-29T08:37:12Z
hal.exporttrue
dc.rights.ccPas de Licence CCen_US
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