0000000000173902

AUTHOR

Lorenzo G. Mantovani

showing 5 related works from this author

Global, Regional, and National Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life-years for 3…

2017

Importance: Cancer is the second leading cause of death worldwide. Current estimates on the burden of cancer are needed for cancer control planning.Objective: To estimate mortality, incidence, years lived with disability (YLDs), years of life lost (YLLs), and disability-adjusted life-years (DALYs) for 32 cancers in 195 countries and territories from 1990 to 2015.Evidence Review: Cancer mortality was estimated using vital registration system data, cancer registry incidence data (transformed to mortality estimates using separately estimated mortality to incidence [MI] ratios), and verbal autopsy data. Cancer incidence was calculated by dividing mortality estimates through the modeled MI ratio…

0301 basic medicineGerontologyCancer ResearchPopulationArticle03 medical and health sciences0302 clinical medicineBreast cancerGlobal healthcancerMedicineDisability-adjusted life yeareducationDisease burdeneducation.field_of_studyestimate mortalityCancer preventioncancer preventionbusiness.industryMortality rate1. No povertymedicine.disease3. Good health030104 developmental biologyYears of potential life lostOncology030220 oncology & carcinogenesisbusinessearly diagnosisDemography
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Health sector spending and spending on HIV/AIDS, tuberculosis, and malaria, and development assistance for health: progress towards Sustainable Devel…

2020

BACKGROUND: Sustainable Development Goal (SDG) 3 aims to "ensure healthy lives and promote well-being for all at all ages". While a substantial effort has been made to quantify progress towards SDG3, less research has focused on tracking spending towards this goal. We used spending estimates to measure progress in financing the priority areas of SDG3, examine the association between outcomes and financing, and identify where resource gains are most needed to achieve the SDG3 indicators for which data are available. METHODS: We estimated domestic health spending, disaggregated by source (government, out-of-pocket, and prepaid private) from 1995 to 2017 for 195 countries and territories. For …

Economic growthFinancing GovernmentPsychological interventionHIV Infectionsburden of disease030204 cardiovascular system & hematologyDISEASEALLOCATION0302 clinical medicineRA0421RA0421 Public health. Hygiene. Preventive MedicineSustainable developmentGlobal healthhealth economicsHealthcare FinancingHIV Infection030212 general & internal medicine10. No inequality11 Medical and Health SciencesDALYHealthy lives1. No povertyPublic Health Global Health Social Medicine and Epidemiology3rd-DASGeneral MedicineSustainable Development3. Good healthtuberculosisIMPOVERISHMENTTERRITORIESFinancingHumanFinancing PersonalResource (biology)Tuberculosi195 COUNTRIESDeveloping Countrie03 medical and health sciencesSDG 3 - Good Health and Well-beingAcquired immunodeficiency syndrome (AIDS)General & Internal MedicineSYSTEMATIC ANALYSISmedicineHumansBurden HIV/AIDS tubercolosis malariaHuman resourcesDeveloping CountriesSustainable developmentGovernmentAcquired Immunodeficiency SyndromeHealth economicsbusiness.industryDISABILITYCATASTROPHEGlobal Burden of Disease Health Financing Collaborator NetworkGLOBAL BURDENmedicine.diseaseMalariaSDG; health sector spending; development assistant for health.Health ExpenditureFolkhälsovetenskap global hälsa socialmedicin och epidemiologi3121 General medicine internal medicine and other clinical medicineNAHealth ExpendituresbusinessEXPENDITURE
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Prevalence and attributable health burden of chronic respiratory diseases, 1990–2017: a systematic analysis for the Global Burden of Disease Study 20…

2020

Artículo con numerosos autores. Sólo se hace referencia al primero que coincide con el de la UAM y al colectivo

MaleRespiratory diseasesRespiratory Tract DiseasesDiseaseChronic respiratory diseasesGlobal Burden of DiseasePulmonary Disease Chronic Obstructive0302 clinical medicineCost of Illness11. SustainabilityMETABOLIC RISKSEPIDEMIOLOGY030212 general & internal medicineChildCause of deathAged 80 and overCOPDDALYChronic obstructive pulmonary diseaseMortality rateRespiratory disease1. No povertyAge FactorsMiddle AgedDeath causes3. Good healthPREVALENCEHealth risksChild PreschoolCOMPARATIVE RISK-ASSESSMENTFemaledeath and disability worldwideQuality-Adjusted Life YearsTERRITORIESBURDENgrowth in absolute numbersPulmonary and Respiratory MedicineAdultADJUSTED LIFE-YEARSHealth burdensAdolescentMedicina195 COUNTRIESchronic respiratory diseasesArticle1117 Public Health and Health Services03 medical and health sciencesYoung AdultLife ExpectancySex FactorsBurden of Disease Respiratory diseaseSarcoidosis PulmonaryEnvironmental healthmedicineDisability-adjusted life yearHumansCOPDEXPOSURERisk factorMortalityAgedper-capita basisbusiness.industryDISABILITYInfant NewbornInfant1103 Clinical Sciencesasthmamedicine.diseaseAsthmaYears of potential life lost030228 respiratory systemRisk factors13. Climate actionSystematic analysesChronic DiseaseINJURIESHuman medicinePneumoconiosisMorbiditybusinessLung Diseases Interstitial1199 Other Medical and Health Sciences
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Global, regional, and national burden of stroke and its risk factors, 1990–2019 : a systematic analysis for the Global Burden of Disease Study 2019

2021

Background Regularly updated data on stroke and its pathological types, including data on their incidence, prevalence, mortality, disability, risk factors, and epidemiological trends, are important for evidence-based stroke care planning and resource allocation. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) aims to provide a standardised and comprehensive measurement of these metrics at global, regional, and national levels. Methods We applied GBD 2019 analytical tools to calculate stroke incidence, prevalence, mortality, disability-adjusted life-years (DALYs), and the population attributable fraction (PAF) of DALYs (with corresponding 95% uncertainty intervals [UIs]…

MaleAging030204 cardiovascular system & hematologyStroke dataGUIDELINES3124 Neurology and psychiatryBody Mass IndexGlobal Burden of Disease0302 clinical medicineRA0421Risk FactorsEpidemiologyStrokesYOUNG-ADULTSPrevalence80 and overAetiology610 Medicine & healthStrokePOPULATION1103 Clinical Sciences 1109 NeurosciencesCause of deathAged 80 and overeducation.field_of_studyMortality rateIncidence (epidemiology)Incidence1. No povertyArticlesHälsovetenskaperMiddle AgedStroke typesddc:3. Good healthStrokeISCHEMIC-STROKEIncomeFemaleQuality-Adjusted Life YearsLife Sciences & BiomedicineAdultmedicine.medical_specialtyGBDPopulationClinical SciencesClinical Neurology610 Medicine & health03 medical and health sciencesClinical ResearchMIDDLE-INCOME COUNTRIESHealth SciencesmedicineHumansRisk factoreducationGBD 2019 Stroke CollaboratorsCerebral HemorrhageAgedIschemic StrokeGlobal burdenScience & TechnologyNeurology & NeurosurgeryHYPERTENSIONbusiness.industryMORTALITYPrevention3112 NeurosciencesNeurosciences1103 Clinical SciencesSERVICESSubarachnoid Hemorrhagemedicine.diseasePREVENTIONBrain DisordersGood Health and Well BeingAttributable riskHuman medicineNeurology (clinical)Neurosciences & Neurologybusiness1109 Neurosciences030217 neurology & neurosurgeryDemography2.4 Surveillance and distributionRC
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Predictive value of venous thromboembolism (VTE)-BLEED to predict major bleeding and other adverse events in a practice-based cohort of patients with…

2018

Summary Venous thromboembolism (VTE)‐BLEED, a decision tool for predicting major bleeding during chronic anticoagulation for VTE has not yet been validated in practice‐based conditions. We calculated the prognostic indices of VTE‐BLEED for major bleeding after day 30 and day 90, as well as for recurrent VTE and all‐cause mortality, in 4457 patients enrolled in the international, prospective XALIA study. The median at‐risk time was 190 days (interquartile range 106–360). The crude hazard ratio (HR) for major bleeding after day 30 was 2·6 [95% confidence interval (CI) 1·3–5·2] and the treatment‐adjusted HR was 2·3 (95% CI 1·1–4·5) for VTE‐BLEED high (versus low) risk patients: the correspondi…

AdultMalemedicine.medical_specialtyvenous thromboembolismHemorrhage030204 cardiovascular system & hematologyDisease-Free Survival03 medical and health sciencesYoung Adult0302 clinical medicineInterquartile rangePredictive Value of TestsInternal medicinemedicineanticoagulation therapy; bleeding; prediction; rivaroxaban; venous thromboembolism; HematologyHumans030212 general & internal medicinecardiovascular diseasesProspective StudiesAdverse effectrivaroxabanRivaroxabananticoagulation therapybusiness.industryIncidence (epidemiology)Platelets Haemostasis and ThrombosisHazard ratioHematologypredictionBleedMiddle Agedequipment and suppliesbleedingConfidence intervalddc:Survival RateCohortFemalebusinessmedicine.drugResearch Paper
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