Search results for "population-based data"

showing 4 items of 4 documents

Estimation of statistical time-to-cure in cancer patients

2019

Three million people are living in France with a personal past of cancer and undergo difficulties in accessing loans and insurance. Since 2016, the French law « modernisation de notre système de santé » set the "right to be forgotten" (time beyond which insurance applicants with a past of cancer will no longer have to declare it) at 10 years after the end of treatment. From a statistical point of view, this delay can be considered as the time from which mortality due to cancer (excess mortality) disappears. After this time, the net survival curves reach a plateau corresponding to the proportion of cured patients. The verification of this hypothesis is based on two criteria: a negligible exc…

Données de registreSimulation studyCure model[SDV.MHEP] Life Sciences [q-bio]/Human health and pathologySurvivalTime-To-CureEtude de simulationsSurvieModèle de guérisonDélai de guérisonPopulation-Based dataCancer
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Observed and relative survival and 5-year outcomes of patients discharged after acute myocardial infarction: the nationwide AMI-PL database.

2020

Background: Long‑term follow‑up data from a large Polish acute myocardial infarction (AMI‑PL) database are still unavailable. Aims: This study aimed to assess the 5‑year outcomes of patients discharged after hospitalization for AMI in Poland in relation to age. Methods: The studywas based on the nationwide AMI‑PL registry including data on the management and long‑term outcomes of all patients admitted to hospitals with AMI (codes I21–I22 according to the International Classification of Diseases and Related Health Problems, 10th Revision [ICD ‑10]), derived from the database of the obligatory healthcare payer in Poland.The current analysis included all patients after AMI who were discharged …

MaleMEDLINEMyocardial InfarctionDischarged alive030204 cardiovascular system & hematologycomputer.software_genre03 medical and health sciences0302 clinical medicineOlder patientsRisk FactorsmedicineHumansIn patientcardiovascular diseasesMyocardial infarctionAgedAged 80 and overnon-ST-segment elevation myocardial infarctionDatabaseRelative survivalbusiness.industryrelative survivalMiddle Agedmedicine.diseasePatient DischargeST-segment elevation myocardial infarctionHospitalizationHeart failurepopulation-based databaseFemalePolandCardiology and Cardiovascular MedicineIndex hospitalizationbusinesscomputerlong-term outcomesKardiologia polska
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Adolescent and Young Adult Cancer Survivors: Design and Characteristics of the First Nationwide Population-Based Cohort in Italy

2020

Purpose: Adolescent and young adult (AYA, 15-39 years) cancer survivors (alive at least 5 years after cancer diagnosis) are less studied than younger and older cancer survivors and research on their late effects is limited. To facilitate research on long-term outcomes of AYA cancer survivors, we established, in Italy, a population-based AYA cancer survivors' cohort. This article describes the study design and main characteristics of this cohort. Methods: The cohort derives from population-based cancer registries (CRs). Each CR identified AYA cancer patients retrospectively. Treatment for first primary cancer and all health events from diagnosis to death can be traced through linkage with av…

late outcomesAdultMalePediatricsmedicine.medical_specialtyAdolescentlate outcomePopulationSettore MED/42 - Igiene Generale E ApplicataCohort StudiesYoung AdultPopulation based cohortCancer SurvivorsAdministrative databaseHospital dischargeHumansMedicineYoung adulteducationeducation.field_of_studybusiness.industryAbsolute risk reductionCancersurvivorscohortmedicine.diseasehumanitiesItalyOncologypopulation-based dataPediatrics Perinatology and Child HealthCohortFemalebusiness
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TEMPORAL CHANGES IN RESPIRATORY SYMPTOMS/DISEASES AND ASSOCIATED RISK FACTORS IN REAL LIFE

Background: The prevalence of respiratory diseases increased during last centuries and the rapid rise in the prevalence of such diseases cannot be explained by genetic factors. Analyses on general population samples investigated at interval of some years can permit to better comprehend these increases and the associated risk factors, adding new evidences on this important item taking into account the real life setting. Aims: to assess real life temporal changes in respiratory diseases/symptoms (asthma, allergic rhinitis - AR - and chronic obstructive pulmonary disease - COPD) and associated risk factors in general population samples investigated during a period of 30 years. Methods: a gener…

population-based datasmoking habitsrespiratory symptoms/diseaseenvironmental risk factor
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