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Record 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 on OpenAlexfundno aff

Bibliographic record

VenueQueen Mary Research Online (Queen Mary University of London) · 2023
Typearticle
Languageen
FieldMedicine
TopicGlobal Cancer Incidence and Screening
Canadian institutionsnot available
FundersStudent 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
KeywordsBurden of diseaseDisease burdenCancerDiseaseGlobal healthMEDLINERisk assessmentAttributable risk
DOInot available

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.095
Threshold uncertainty score0.190

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.017
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.012
Bibliometrics0.0080.015
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.090
GPT teacher head0.395
Teacher spread0.306 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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