Academic Journal
Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017
| Title: | Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017 |
|---|---|
| Authors: | Roth G.A., Cunningham M., Afshin A., Agesa K.M., Alam T., Ballesteros K.E., Bannick M.S., Bertolacci G.J., Biehl M.H., Blacker B.F., Briant P.S., Callender C.S.K.H., Carter A., Castle C.D., Cohen A.J., Cromwell E.A., Dandona L., Dandona R., Undurraga, Eduardo A. |
| Publisher Information: | Lancet Publishing Group |
| Publication Year: | 2024 |
| Collection: | Pontificia Universidad Católica de Chile: Repositorio UC |
| Subject Terms: | 03 Good Health and Well-being, 03 Salud y bienestar |
| Description: | © 2018 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 licenseBackground: Global development goals increasingly rely on country-specific estimates for benchmarking a nation's progress. To meet this need, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2016 estimated global, regional, national, and, for selected locations, subnational cause-specific mortality beginning in the year 1980. Here we report an update to that study, making use of newly available data and improved methods. GBD 2017 provides a comprehensive assessment of cause-specific mortality for 282 causes in 195 countries and territories from 1980 to 2017. Methods: The causes of death database is composed of vital registration (VR), verbal autopsy (VA), registry, survey, police, and surveillance data. GBD 2017 added ten VA studies, 127 country-years of VR data, 502 cancer-registry country-years, and an additional surveillance country-year. Expansions of the GBD cause of death hierarchy resulted in 18 additional causes estimated for GBD 2017. Newly available data led to subnational estimates for five additional countries—Ethiopia, Iran, New Zealand, Norway, and Russia. Deaths assigned International Classification of Diseases (ICD) codes for non-specific, implausible, or intermediate causes of death were reassigned to underlying causes by redistribution algorithms that were incorporated into uncertainty estimation. We used statistical modelling tools developed for GBD, including the Cause of Death Ensemble model (CODEm), to generate cause fractions and cause-specific death rates for each location, year, age, and sex. Instead of using UN estimates as in previous versions, GBD 2017 independently estimated population size and fertility rate for all locations. Years of life lost (YLLs) were then calculated as the sum of each death multiplied by the standard life expectancy at each age. All rates reported here are age-standardised. Findings: At the broadest grouping of causes of death (Level ... |
| Document Type: | article in journal/newspaper |
| File Description: | application/pdf |
| Language: | English |
| ISSN: | 1474547X |
| Relation: | 1474547X 01406736; MEDLINE:30496103; SCOPUS_ID:85056166310; https://repositorio.uc.cl/handle/11534/80005; WOS:000449710900004 |
| DOI: | 10.1016/S0140-6736(18)32203-7 |
| Availability: | https://repositorio.uc.cl/handle/11534/80005 https://doi.org/10.1016/S0140-6736(18)32203-7 |
| Rights: | acceso abierto |
| Accession Number: | edsbas.8FF0BC78 |
| Database: | BASE |
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Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 licenseBackground: Global development goals increasingly rely on country-specific estimates for benchmarking a nation's progress. To meet this need, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2016 estimated global, regional, national, and, for selected locations, subnational cause-specific mortality beginning in the year 1980. Here we report an update to that study, making use of newly available data and improved methods. GBD 2017 provides a comprehensive assessment of cause-specific mortality for 282 causes in 195 countries and territories from 1980 to 2017. Methods: The causes of death database is composed of vital registration (VR), verbal autopsy (VA), registry, survey, police, and surveillance data. GBD 2017 added ten VA studies, 127 country-years of VR data, 502 cancer-registry country-years, and an additional surveillance country-year. Expansions of the GBD cause of death hierarchy resulted in 18 additional causes estimated for GBD 2017. Newly available data led to subnational estimates for five additional countries—Ethiopia, Iran, New Zealand, Norway, and Russia. Deaths assigned International Classification of Diseases (ICD) codes for non-specific, implausible, or intermediate causes of death were reassigned to underlying causes by redistribution algorithms that were incorporated into uncertainty estimation. We used statistical modelling tools developed for GBD, including the Cause of Death Ensemble model (CODEm), to generate cause fractions and cause-specific death rates for each location, year, age, and sex. Instead of using UN estimates as in previous versions, GBD 2017 independently estimated population size and fertility rate for all locations. Years of life lost (YLLs) were then calculated as the sum of each death multiplied by the standard life expectancy at each age. All rates reported here are age-standardised. Findings: At the broadest grouping of causes of death (Level ... – Name: TypeDocument Label: Document Type Group: TypDoc Data: article in journal/newspaper – Name: Format Label: File Description Group: SrcInfo Data: application/pdf – Name: Language Label: Language Group: Lang Data: English – Name: ISSN Label: ISSN Group: ISSN Data: 1474547X – Name: NoteTitleSource Label: Relation Group: SrcInfo Data: 1474547X 01406736; MEDLINE:30496103; SCOPUS_ID:85056166310; https://repositorio.uc.cl/handle/11534/80005; WOS:000449710900004 – Name: DOI Label: DOI Group: ID Data: 10.1016/S0140-6736(18)32203-7 – Name: URL Label: Availability Group: URL Data: https://repositorio.uc.cl/handle/11534/80005<br />https://doi.org/10.1016/S0140-6736(18)32203-7 – Name: Copyright Label: Rights Group: Cpyrght Data: acceso abierto – Name: AN Label: Accession Number Group: ID Data: edsbas.8FF0BC78 |
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