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…
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 …
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…
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…