2021
A new cure model accounting for extra non-cancer mortality: Validation and application to real data
Botta L, Goungounga J, Capocaccia R, Romain G, Colonna M, Gatta G, Boussari O, Jooste V. A new cure model accounting for extra non-cancer mortality: Validation and application to real data. Revue D'Epidémiologie Et De Santé Publique 2021, 69: s24. DOI: 10.1016/j.respe.2021.04.039.Peer-Reviewed Original ResearchRelative riskGeneral populationCancer-specific deathNon-cancer mortalityPatient's relative riskExtra riskCancer survivorsCancer patientsCure modelBreast cancerNet survivalRelative survivalOverall populationIndividual data analysisIndividual dataSame riskCure fractionCancer dataDeathPatientsRiskCancerMortalitySurvivalAge effects
2020
Cancer cure for 32 cancer types: results from the EUROCARE-5 study
Dal Maso L, Panato C, Tavilla A, Guzzinati S, Serraino D, Mallone S, Botta L, Boussari O, Capocaccia R, Colonna M, Crocetti E, Dumas A, Dyba T, Franceschi S, Gatta G, Gigli A, Giusti F, Jooste V, Minicozzi P, Neamtiu L, Romain G, Zorzi M, De Angelis R, Francisci S, Group T. Cancer cure for 32 cancer types: results from the EUROCARE-5 study. International Journal Of Epidemiology 2020, 49: 1517-1525. PMID: 32984907, DOI: 10.1093/ije/dyaa128.Peer-Reviewed Original ResearchConceptsConditional relative survivalCancer patientsProstate cancerCancer cureChronic lymphocytic leukemia patientsProportion of patientsThyroid cancer patientsEUROCARE-5 studyLymphocytic leukemia patientsSame death ratePopulation-based indicatorsMelanoma patientsPatients' qualityCorpus uteriFatal casesLung cancerPancreatic cancerThyroid cancerLeukemia patientsBreast cancerGeneral populationRelative survivalPatientsSkin melanomaAge 55
2019
Net survival in recurrence-free colon cancer patients
Drouillard A, Bouvier A, Boussari O, Romain G, Manfredi S, Lepage C, Faivre J, Jooste V. Net survival in recurrence-free colon cancer patients. Cancer Epidemiology 2019, 61: 124-128. PMID: 31212224, DOI: 10.1016/j.canep.2019.06.001.Peer-Reviewed Original ResearchConceptsRecurrence-free patientsNet survivalColon cancerPopulation-based digestive cancer registryConditional net survivalDigestive cancer registryStage III diseasePeriods of remissionEstimation of prognosisPrimary colon cancerColon cancer patientsRelevant clinical informationCancer RegistryClinical presentationCancer patientsCancer populationSurvivors' qualityClinical informationPatientsStage IStage IIIStage IIDiagnosisFlexible parametric modelsSurvival
2018
A new approach to estimate time-to-cure from cancer registries data
Boussari O, Romain G, Remontet L, Bossard N, Mounier M, Bouvier A, Binquet C, Colonna M, Jooste V. A new approach to estimate time-to-cure from cancer registries data. Cancer Epidemiology 2018, 53: 72-80. PMID: 29414635, DOI: 10.1016/j.canep.2018.01.013.Peer-Reviewed Original ResearchConceptsPopulation-based cancer dataFlexible parametric cure modelsThyroid cancer patientsCancer registry dataParametric cure modelsCancer RegistryColorectal cancerCancer patientsPancreatic cancerCancer sitesBreast cancerRegistry dataCure modelAge groupsCancerCureDiagnosisSurvival frameworkCure fractionPatientsHealth insurance premiumsFrench networkSurvival time distributionYears