Search results for "Joinpoint regression"

showing 3 items of 3 documents

Increasing incidence of colorectal cancer in young adults in Europe over the last 25 years

2019

ObjectiveThe incidence of colorectal cancer (CRC) declines among subjects aged 50 years and above. An opposite trend appears among younger adults. In Europe, data on CRC incidence among younger adults are lacking. We therefore aimed to analyse European trends in CRC incidence and mortality in subjects younger than 50 years.DesignData on age-related CRC incidence and mortality between 1990 and 2016 were retrieved from national and regional cancer registries. Trends were analysed by Joinpoint regression and expressed as annual percent change.ResultsWe retrieved data on 143.7 million people aged 20–49 years from 20 European countries. Of them, 187 918 (0.13%) were diagnosed with CRC. On averag…

AdultMalemedicine.medical_specialtyJoinpoint regressionColorectal cancerYoung Adult03 medical and health sciences0302 clinical medicineSDG 3 - Good Health and Well-beingRegional cancerEpidemiologyHumansMedicineYoung adultRetrospective Studiesbusiness.industryIncidenceIncidence (epidemiology)GastroenterologyMiddle Agedmedicine.diseaseAnnual Percent Change3. Good healthEuropeSurvival RateYounger adults030220 oncology & carcinogenesisFemale030211 gastroenterology & hepatologyColorectal NeoplasmsbusinessFollow-Up StudiesForecastingDemographyGut
researchProduct

Incidence Patterns and Trends of non-Central Nervous System Solid Tumours in Children and Adolescents. A Collaborative Study of the Spanish Populatio…

2016

Journal Article; OBJECTIVE To describe incidence patterns and trends in children (0-14 years) and adolescents (15-19 age-range) with solid tumours, except those of central nervous system (CNS), in Spain. METHODS Cases were drawn from eleven Spanish population-based cancer registries. Incidence was estimated for the period 1983-2007 and trends were evaluated using Joinpoint regression analysis. RESULTS The studied tumour groups accounted for 36% of total childhood cancers and 47.6% of those diagnosed in adolescence with annual rates per million of 53.5 and 89.3 respectively. In children 0 to 14 years of age, Neuroblastoma (NB) was the commonest (7.8%) followed by Soft-tissue sarcomas (STS) (…

medicine.medical_specialtyPediatricsJoinpoint regression:Diseases::Neoplasms::Neoplasms by Histologic Type::Neoplasms Germ Cell and Embryonal::Neuroectodermal Tumors::Neoplasms Neuroepithelial::Neuroectodermal Tumors Primitive::Neuroectodermal Tumors Primitive Peripheral::Neuroblastoma [Medical Subject Headings]Central nervous systemEspaña03 medical and health sciences0302 clinical medicine030225 pediatricsInternal medicineNeuroblastoma:Health Care::Population Characteristics::Demography::Vital Statistics::Morbidity::Incidence [Medical Subject Headings]medicineCarcinoma:Diseases::Neoplasms::Neoplasms by Histologic Type::Neoplasms Glandular and Epithelial::Carcinoma [Medical Subject Headings]canceradolescentsAdolescente:Named Groups::Persons::Age Groups::Child [Medical Subject Headings]childhood:Geographicals::Geographic Locations::Europe::Spain [Medical Subject Headings]business.industryIncidence (epidemiology)Cancermedicine.diseaseNeoplasiasSpanish populationmedicine.anatomical_structureOncologyEl Niñopopulation-based studySpain030220 oncology & carcinogenesisNiño:Named Groups::Persons::Age Groups::Adolescent [Medical Subject Headings]solid tumourincidence:Diseases::Neoplasms::Neoplasms by Site::Bone Neoplasms [Medical Subject Headings]businessIncidenciaResearch PaperSpain.
researchProduct

Medida del resultado de las intervenciones sanitarias en España: una aproximación mediante el análisis temporal y espacial de la mortalidad evitable …

2006

Fundamento: Muchos estudios proponen la mortalidad evitable (ME) como indicador para monitorizar los servicios de salud aunque su generalización está limitada por el gran número de listas de causas utilizadas. El objetivo es analizar la evolución temporal del período 1986-2001 y la distribución geográfica de la mortalidad evitable utilizando una lista de causas consensuada. Métodos: Se analiza la mortalidad evitable global (ME) y agrupada en causas ISAS (intervenciones de los servicios sanitarios) y causas IPSI (políticas intersectoriales). Se analiza la evolución temporal ajustando una recta de regresión de Poisson o un modelo de regresión de Joinpoint, según el caso, y se estima el porcen…

Joinpoint regressionbusiness.industryTime trendsCausa de muerteMortality ratelcsh:Public aspects of medicinelcsh:Rlcsh:Medicinelcsh:RA1-1270General MedicineAvoidable mortalityHealth servicesMedicineIndicadores de calidadServicios de saludbusinessHealth policyDemographyMortalidad prematura
researchProduct