0000000000237045

AUTHOR

Olayidé Boussari

showing 6 related works from this author

Cancer cure for 32 cancer types: results from the EUROCARE-5 study

2020

Abstract Background Few studies have estimated the probability of being cured for cancer patients. This study aims to estimate population-based indicators of cancer cure in Europe by type, sex, age and period. Methods 7.2 million cancer patients (42 population-based cancer registries in 17 European countries) diagnosed at ages 15–74 years in 1990–2007 with follow-up to 2008 were selected from the EUROCARE-5 dataset. Mixture-cure models were used to estimate: (i) life expectancy of fatal cases (LEF); (ii) cure fraction (CF) as proportion of patients with same death rates as the general population; (iii) time to cure (TTC) as time to reach 5-year conditional relative survival (CRS) >95…

OncologyAdultMalemedicine.medical_specialtySkin NeoplasmsAdolescentEpidemiologyPopulation03 medical and health sciencesYoung Adult0302 clinical medicineBreast cancerLife ExpectancyProstateInternal medicineNeoplasmsmedicineHumans030212 general & internal medicineRegistrieseducationThyroid cancerMelanomaComputingMilieux_MISCELLANEOUSAgededucation.field_of_study[SHS.SOCIO]Humanities and Social Sciences/SociologyRelative survivalbusiness.industryMelanomaMortality rateCancerGeneral MedicineMiddle Agedmedicine.disease3. Good healthEuropeSurvival Ratemedicine.anatomical_structure030220 oncology & carcinogenesisQuality of LifeFemale[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologiebusiness
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Correction de la mortalité attendue avec une fragilité individuelle pour une meilleure estimation de la survie nette et du délai de guérison à partir…

2021

Introduction Les modeles de guerison sont utilises dans les etudes de population pour estimer la survie nette et sa valeur asymptotique correspondant a la proportion de gueris. La survie nette est la survie que l’on observerait si la maladie etudiee (par exemple le cancer) etait la seule cause possible de deces. Son estimation suppose que la mortalite observee resulte de deux forces de mortalite : l’une due au cancer (mortalite en exces) et l’autre due aux autres causes de deces (mortalite attendue). Dans ce cadre populationnel, la mortalite attendue des patients est supposee egale a la mortalite observee des individus de memes caracteristiques de la population generale. Cependant, cette hy…

EpidemiologyPublic Health Environmental and Occupational HealthRevue d'Épidémiologie et de Santé Publique
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Impact de l’âge et de l’année sur les indicateurs de survie nette et de guérison par sous-type de leucémie aiguë myéloïde en France entre 1989 et 2010

2019

Etat de la question Estimer la survie nette et les indicateurs guerison par sous-type de leucemie aigue myeloide (LAM) en France. Materiel et methodes Au total, 6460 cas de LAM dont l’âge ≥ 15 ans, diagnostiques entre 1989 et 2010 ont ete inclus. Cinq sous-types de LAM ont ete definis a l’aide de la classification ICD-O-3 et HAEMACARE. La survie nette a ete obtenue en utilisant le modele flexible ajuste sur l’âge, le sexe et l’annee de diagnostic pour chaque sous-type de LAM. Lorsque l’hypothese de guerison etait acceptable, un modele de guerison flexible a ete utilise pour estimer la proportion de gueri (P), le temps de guerison (TTC) et le temps de survie median pour les patients non guer…

EpidemiologyPublic Health Environmental and Occupational HealthRevue d'Épidémiologie et de Santé Publique
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Time-to-cure and cure proportion in solid cancers in France. A population based study.

2019

In cancer care, the cure proportion (P) and time-to-cure (TTC) are important indicators for practitioners, patients, and healthcare policy makers. The recent definition of TTC as the time at which the probability of belonging to the cured group reaches 95% was used for the first time.The data stem from the common database of French cancer registries including 335,358 solid tumours diagnosed between 1995 and 2009 at 27 sites. P and TTC were estimated through a flexible parametric net survival cure model for each cancer site, sex, and age at diagnosis with acceptable assumption of cure (excess mortality rate ≤0.05).TTC was ≤5 years and P was80% for skin melanoma and thyroid and testis cancers…

AdultMaleCancer Researchmedicine.medical_specialtyDatabases FactualEpidemiology[SDV]Life Sciences [q-bio]03 medical and health sciences0302 clinical medicineInternal medicineNeoplasmsEpidemiologymedicineHumanscardiovascular diseases030212 general & internal medicineRegistriesNet SurvivalThyroid cancerAgedbusiness.industryThyroidCancerMiddle Agedmedicine.disease3. Good healthPopulation based studySurvival Ratemedicine.anatomical_structureOncology030220 oncology & carcinogenesisNational databaseFemaleFranceSkin melanomabusinessCancer epidemiology
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Predictive factors of severe early treatment-related toxicity in patients receiving first-line treatment for metastatic colorectal cancer: Pooled ana…

2021

Few studies have explored the association between baseline characteristics and the occurrence of early toxicities in patients treated with first-line chemotherapy for metastatic colorectal cancer (mCRC).Individual patient data of 2190 patients enrolled in 10 prospective FFCD (Fédération Francophone de Cancérologie Digestive) trials were analysed. Severe early toxicity was defined as the occurrence of grade ≥III toxicity within 3 months after initiation of chemotherapy (ET3).Patients received monotherapy based on 5-FU (n = 1068), a cytotoxic doublet (n = 395) or tritherapy with a cytotoxic doublet plus anti-VEGF agent or a cytotoxic triplet (n = 727). The patients received 5-FU (100%), Irino…

Male0301 basic medicineCancer Researchmedicine.medical_specialtyBevacizumabColorectal cancermedicine.medical_treatmentGastroenterology03 medical and health sciences0302 clinical medicineInternal medicinemedicineHumansProspective StudiesNeoplasm MetastasisAgedAfliberceptChemotherapyPerformance statusbusiness.industryMiddle AgedPrognosismedicine.diseaseOxaliplatinIrinotecanTreatment Outcome030104 developmental biologyOncology030220 oncology & carcinogenesisToxicityFemaleColorectal Neoplasmsbusinessmedicine.drugEuropean Journal of Cancer
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A new cure model accounting for extra non-cancer mortality: Validation and application to real data

2021

Introduction The proportion of cancer patients cured of the disease is estimated with standard cure models assuming they have the same risk of death as the general population [1] . These patients, however often maintain an extra risk of dying compared to the overall population, which we assume is due to other causes than cancer [2] . The aim of the work was to develop and validate an extended cure model incorporating the estimated patients’ relative risk of death from other causes (α) compared to that observed in the general population. Methods We extended the mixture cure model considering Weibull relative survival of the uncured by including a relative risk αwhich muliptlies the mortality…

education.field_of_studyRelative survivalEpidemiologyPopulationPublic Health Environmental and Occupational HealthConfidence intervalGrouped dataStandard errorRelative riskStatisticsFraction (mathematics)educationMathematicsWeibull distributionRevue d'Épidémiologie et de Santé Publique
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