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Diabetes Mortality and Trends Before 25 Years of Age: An Analysis of the Global Burden of Disease Study 2019
Bibliographic record
VenueMonash University Research Portal (Monash University) · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Public Health Policies and Epidemiology
Canadian institutionsnot available
FundersStanford Cardiovascular Institute, School of Medicine, Stanford UniversityCentre for Heart Rhythm Disorders, University of AdelaideSydney Medical SchoolRussian Academy of SciencesNational Health and Medical Research CouncilSamsungGeorge Institute for Global HealthUniversitas PadjadjaranJahrom University of Medical SciencesUniversity of JeddahUniversiti Sultan Zainal AbidinMenzies Institute for Medical ResearchWalailak UniversityUniversität UlmXiamen UniversitySoutheast UniversityUniversidade Federal de Juiz de ForaLa Trobe UniversityUniversitatea din BucureștiNational Taiwan Normal UniversityPomorski Uniwersytet Medyczny W SzczecinieUniversity of TorontoUniversité de GenèveUniversity of Technology SydneyUniversitas IndonesiaUnited Arab Emirates UniversityUniversity Of Nigeria NsukkaShahid Beheshti University of Medical SciencesDirectorate for Biological SciencesGöteborgs UniversitetUniversidad Nacional Autónoma de MéxicoUniversitetet i OsloI.M. Sechenov First Moscow State Medical UniversityBangladesh University of Health SciencesShahrekord University of Medical SciencesKermanshah University of Medical SciencesShahrekord UniversityChinese University of Hong KongHaramaya UniversityCurtin University of TechnologyUniversiti Sains MalaysiaUniversiti Kebangsaan MalaysiaUniversità degli Studi del Piemonte OrientaleCentro de Investigación Biomédica en Red de Salud MentalUniversity of GondarUniversity of TasmaniaUniversity of WaterlooTehran University of Medical Sciences and Health ServicesUniversiti MalayaSultan Qaboos UniversitySeoul National University HospitalKing Abdulaziz UniversityUniversità degli Studi di MilanoArak University of Medical SciencesKarolinska InstitutetIstituto di Ricerche Farmacologiche Mario Negri - IRCCSInstitució Catalana de Recerca i Estudis AvançatsUniversidad Autónoma del Estado de MorelosUniversity of CalcuttaAmerican University of SharjahUppsala UniversitetMadras Diabetes Research FoundationUniversity of Health and Allied SciencesUniversitatea de Medicină şi Farmacie "Carol Davila" BucureştiKuwait UniversityDepartment of Social Services, Australian GovernmentUniversiteit UtrechtKhalifa University of Science, Technology and ResearchAmity UniversityTribhuvan UniversityMashhad University of Medical SciencesAustralian Catholic UniversityIndian Council of Medical ResearchUniversity College LondonCentre Hospitalier Universitaire VaudoisSeoul National UniversityTulane UniversityIran University of Medical SciencesDepartment of Health and Social CareMcMaster UniversityUniversity of LeicesterAkademiska SjukhusetUniversidade Federal do Rio Grande do SulDeutsches KrebsforschungszentrumHarvard UniversityUniversity of WollongongBabol University of Medical SciencesYork UniversityWashington University in St. LouisMonash UniversitySouth Eastern Sydney Local Health DistrictDipartimento di Medicina e Chirurgia, Università degli Studi di Milano-BicoccaSocial Science Research CouncilTrường Đại học Duy TânBill and Melinda Gates FoundationUniversity of WashingtonStudent Research Committee, Tabriz University of Medical SciencesShahjalal University of Science and TechnologyConselho Nacional de Desenvolvimento Científico e TecnológicoUniverzita Karlova v PrazeImam Abdulrahman Bin Faisal UniversityUniversity of GeorgiaDivision of Mathematical SciencesUniversitas AirlanggaSamara UniversityJordan University of Science and TechnologyUniversity of OxfordNew Mexico State UniversityDepartment of Global Health and Population, Harvard T.H. Chan School of Public HealthJazan UniversityU.S. Department of Veterans AffairsImperial College LondonNorthwell HealthHamad Medical CorporationHelsingin YliopistoBrigham and Women's HospitalUniversidade de São PauloKrishna Institute Of Medical Sciences Deemed To Be UniversityTufts Medical CenterNational Institute for Health and Care ResearchCharles Sturt University
KeywordsMedicineDiseaseDiabetes mellitusBurden of diseaseMEDLINEGerontologyDemographyInternal medicine
Abstract
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 imitationNot 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)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.087
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.004 | 0.010 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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 head0.049
GPT teacher head0.320
Teacher spread0.271 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine 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 designObservational
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
Citations117
Published2022
Admission routes1
Has abstractyes