Enregistrement W7009990856

The global burden of cancer attributable to risk factors, 2010-19: a systematic analysis for the Global Burden of Disease Study 2019

2023· article· en· W7009990856 sur OpenAlexfundno aff

Notice bibliographique

RevueQueen Mary Research Online (Queen Mary University of London) · 2023

Typearticle

Langueen

DomaineMedicine

ThématiqueGlobal Cancer Incidence and Screening

Établissements canadiensnon disponible

Organismes subventionnairesStudent Research Committee, Tabriz University of Medical SciencesYonsei University College of MedicineUniversity of Florida HealthDirectorate for Biological SciencesUniversity of Health and Allied SciencesPirogov Russian National Research Medical UniversityDepartment of Global Health and Population, Harvard T.H. Chan School of Public HealthUniversitas Sam RatulangiMoscow Institute of Physics and TechnologyDilla UniversityMaurice Wilkins Centre for Molecular BiodiscoveryUniversitas PadjadjaranImam Abdulrahman Bin Faisal UniversityCentro de Desarrollo Urbano SustentableI.M. Sechenov First Moscow State Medical UniversityUniwersytet Warmińsko-Mazurski w OlsztynieNazarbayev UniversityUniversitas Gadjah MadaMasarykova UniverzitaDebreceni EgyetemWalailak UniversityThe Wellcome Trust DBT India AllianceXiamen UniversityWuhan University of Science and TechnologyNational Nutrition and Food Technology Research InstituteXuzhou Medical UniversityUniversity of TabrizUniversity of ColomboInstitute for Advanced Studies in Basic SciencesUniversity of the PhilippinesUniversidade Federal de Juiz de ForaChina Medical UniversityYasuj University of Medical SciencesInstituto de Salud Carlos IIIArak University of Medical SciencesSecretaría Nacional de Ciencia, Tecnología e InnovaciónGuy's and St Thomas' NHS Foundation TrustBauman Moscow State Technical UniversityInstitute of GeneticsUniversidade do PortoUniversity of TsukubaMekelle UniversityUniversity of DhakaUniversidad de ChileUniversidade de LisboaShahrekord University of Medical SciencesUniversità degli Studi del Piemonte OrientaleUniwersytet ŁódzkiUniversidade de São PauloKermanshah University of Medical SciencesUniversitetet i BergenUmeå UniversitetShahrekord UniversityUniversiti Sultan Zainal AbidinZhejiang UniversityTanta UniversityHamadan University of Medical SciencesAlzahra UniversityUniversiti Kebangsaan MalaysiaTehran University of Medical Sciences and Health ServicesKuwait UniversityUniversity of St AndrewsChinese Center for Disease Control and PreventionAin Shams UniversityShiraz University of Medical SciencesQatar UniversityKing Abdulaziz UniversityUniversità degli Studi di GenovaIsfahan University of Medical SciencesUniversità di CataniaUniversity of CalcuttaIslamic Azad UniversitySemmelweis EgyetemCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorUniversity of South AustraliaDepartment of Social Services, Australian GovernmentFlinders UniversityInternational Centre for Diarrhoeal Disease Research, BangladeshWashington University in St. LouisMonash UniversityTabriz University of Medical SciencesKhalifa University of Science, Technology and ResearchUniversity of Technology SydneyUniversity of CreteMinistero della SaluteInstitut National de la Santé et de la Recherche MédicaleNord universitetDepartment of Biotechnology, Ministry of Science and Technology, IndiaUniversitat de ValènciaIndian Council of Medical ResearchDebre Tabor UniversityShahid Beheshti University of Medical SciencesCancer Institute NSWShiraz UniversityKing's College LondonHamad Bin Khalifa UniversityKasturba Medical College, ManipalUniversity of OxfordMorehouse School of MedicineQueen Elizabeth Hospital Birmingham CharityShahroud University of Medical SciencesJames Cook UniversityApplied Molecular Biosciences UnitMarga und Walter Boll-StiftungIran University of Medical SciencesPublic Health Foundation of IndiaTehran Heart CenterAustralian Catholic UniversityRoyal College of Surgeons in IrelandUniversitat de BarcelonaPublic Health Agency of CanadaNational Natural Science Foundation of ChinaCentre Hospitalier Universitaire VaudoisOhio State UniversityIndiana University HealthKaiser PermanenteMinistry of Health and Medical EducationGeorge Institute for Global HealthUniversitatea SapientiaUniversidad Peruana Cayetano HerediaCollege of Science and Engineering, University of MinnesotaWellcome TrustJohns Hopkins UniversityFogarty International CenterPeking University Third HospitalCOMSATS Institute of Information TechnologyMadda Walabu UniversityIstituto di Ricerche Farmacologiche Mario Negri - IRCCSJimma UniversityDeutsches KrebsforschungszentrumHarvard UniversityHaramaya UniversityQueen Mary University of LondonYork UniversityVanderbilt UniversityNational Institute for Genetic Engineering and BiotechnologyUniwersytet Jagielloński Collegium MedicumJackson State UniversityEast Carolina UniversityErasmus Universitair Medisch Centrum RotterdamBundesministerium für GesundheitNational Institutes of HealthChinese University of Hong KongFlorida Department of HealthUniversity of Science and Technology of ChinaGeorgetown UniversityFlorida International UniversityBrigham and Women's HospitalSocial Science Research CouncilUniversity of Central PunjabChildren's Hospital of PhiladelphiaHamad Medical CorporationBill and Melinda Gates FoundationWuhan UniversityAlberta Health ServicesUniversity of WashingtonAlborz University of Medical SciencesNorthwestern UniversityUniversity of BristolUniversity of Agriculture, FaisalabadInstitute for Health Metrics and EvaluationPeking UniversityCooperativa de Ensino Superior Politécnico e UniversitárioUniversity of South CarolinaBanaras Hindu UniversityResearch Institute for Endocrine Sciences, Shahid Beheshti University of Medical SciencesAlfaisal UniversityUniversity of WaterlooUniversity of TasmaniaCity University of Hong KongUniversity of QueenslandNational Institute for Health and Care ResearchAddis Ababa UniversityUniversity of Occupational and Environmental HealthRajarata University of Sri LankaYale UniversityUniversity of Texas Health Science Center at HoustonUniversity of New South WalesTufts Medical CenterNational Center of Neurology and PsychiatryMashhad University of Medical SciencesUniversity of Southern CaliforniaAlexander von Humboldt-StiftungUniversity of RochesterRice UniversityTarbiat Modares UniversityBrown UniversityCleveland ClinicUnited Arab Emirates UniversityEmory UniversityUniversidade Federal de Santa CatarinaConselho Nacional de Desenvolvimento Científico e TecnológicoPublic Health AgencyUniversitat Autònoma de BarcelonaUniverzita Karlova v PrazeYonsei University

Mots-clésBurden of diseaseDisease burdenCancerDiseaseGlobal healthMEDLINERisk assessmentAttributable risk

DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Background Understanding the magnitude of cancer burden attributable to potentially modifiable risk factors is crucial for development of effective prevention and mitigation strategies.We analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to inform cancer control planning efforts globally.Methods The GBD 2019 comparative risk assessment framework was used to estimate cancer burden attributable to behavioural, environmental and occupational, and metabolic risk factors.A total of 82 risk-outcome pairs were included on the basis of the World Cancer Research Fund criteria.Estimated cancer deaths and disability-adjusted life-years (DALYs) in 2019 and change in these measures between 2010 and 2019 are presented.Findings Globally, in 2019, the risk factors included in this analysis accounted for 4•45 million (95% uncertainty interval 4•01-4•94) deaths and 105 million (95•0-116) DALYs for both sexes combined, representing 44•4% (41•3-48•4) of all cancer deaths and 42•0% (39•1-45•6) of all DALYs.There were 2•88 million (2•60-3•18) risk-attributable cancer deaths in males (50•6% [47•8-54•1] of all male cancer deaths) and 1•58 million (1•36-1•84) risk-attributable cancer deaths in females (36•3% [32•5-41•3] of all female cancer deaths).The leading risk factors at the most detailed level globally for risk-attributable cancer deaths and DALYs in 2019 for both sexes combined were smoking, followed by alcohol use and high BMI.Risk-attributable cancer burden varied by world region and Socio-demographic Index (SDI), with smoking, unsafe sex, and alcohol use being the three leading risk factors for risk-attributable cancer DALYs in low SDI locations in 2019, whereas DALYs in high SDI locations mirrored the top three global risk factor rankings.From 2010 to 2019, global risk-attributable cancer deaths increased by 20•4% (12•6-28•4) and DALYs by 16•8% (8•8-25•0), with the greatest percentage increase in metabolic risks (34•7% [27•9-42•8] and 33•3% [25•8-42•0]). InterpretationThe leading risk factors contributing to global cancer burden in 2019 were behavioural, whereas metabolic risk factors saw the largest increases between 2010 and 2019.Reducing exposure to these modifiable risk factors would decrease cancer mortality and DALY rates worldwide, and policies should be tailored appropriately to local cancer risk factor burden.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,008

score de la tête « metaresearch » (Gemma)0,017

Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated

Catégories candidatesaucune

Catégories consensuellesaucune

DomaineSignal candidat: aucune · Signal consensuel: aucune

Devis d'étudeSignal candidat: Revue systématique · Signal consensuel: aucune

GenreSignal candidat: Empirique · Signal consensuel: aucune

Score de désaccord entre enseignants0,095

Score d'incertitude au seuil0,190

Scores du classifieur distillé par catégorie (deux têtes)

Catégorie	Codex	Gemma
Métarecherche	0,008	0,017
Méta-épidémiologie (sens strict)	0,001	0,001
Méta-épidémiologie (sens large)	0,004	0,012
Bibliométrie	0,008	0,015
Études des sciences et des technologies	0,000	0,000
Communication savante	0,001	0,001
Science ouverte	0,001	0,002
Intégrité de la recherche	0,001	0,001
Charge utile insuffisante (le modèle a refusé de juger)	0,002	0,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,090

Tête enseignante GPT0,395

Écart entre enseignants0,306 · la distance entre les deux têtes enseignantes sur ce seul travail

Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.

Devis d'étudeRevue systématique

Domainenon disponible

GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0

Publié2023

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