ZGGNGN58
type: UserItem
resource: The global, regional, and national burden of cancer, 1990-2023, with forecasts to 2050: a systematic analysis for the Global Burden of Disease Study 2023
tagged: UserTag
  label: *Global Burden of Disease/trends
tagged: UserTag
  label: *Neoplasms/epidemiology/mortality
tagged: UserTag
  label: Adolescent
tagged: UserTag
  label: Adult
tagged: UserTag
  label: Aged
tagged: UserTag
  label: Aged, 80 and over
tagged: UserTag
  label: Child
tagged: UserTag
  label: Child, Preschool
tagged: UserTag
  label: Disability-Adjusted Life Years
tagged: UserTag
  label: Female
tagged: UserTag
  label: Forecasting
tagged: UserTag
  label: Global Health/statistics & numerical data
tagged: UserTag
  label: Humans
tagged: UserTag
  label: Incidence
tagged: UserTag
  label: Infant
tagged: UserTag
  label: Infant, Newborn
tagged: UserTag
  label: Life Expectancy
tagged: UserTag
  label: Male
tagged: UserTag
  label: Middle Aged
tagged: UserTag
  label: Prevalence
tagged: UserTag
  label: Risk Factors
tagged: UserTag
  label: Young Adult

The global, regional, and national burden of cancer, 1990-2023, with forecasts to 2050: a systematic analysis for the Global Burden of Disease Study 2023
type: AcademicArticle
abstract: BACKGROUND: Cancer is a leading cause of death globally. Accurate cancer burden information is crucial for policy planning, but many countries do not have up-to-date cancer surveillance data. To inform global cancer-control efforts, we used the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2023 framework to generate and analyse estimates of cancer burden for 47 cancer types or groupings by age, sex, and 204 countries and territories from 1990 to 2023, cancer burden attributable to selected risk factors from 1990 to 2023, and forecasted cancer burden up to 2050. METHODS: Cancer estimation in GBD 2023 used data from population-based cancer registration systems, vital registration systems, and verbal autopsies. Cancer mortality was estimated using ensemble models, with incidence informed by mortality estimates and mortality-to-incidence ratios (MIRs). Prevalence estimates were generated from modelled survival estimates, then multiplied by disability weights to estimate years lived with disability (YLDs). Years of life lost (YLLs) were estimated by multiplying age-specific cancer deaths by the GBD standard life expectancy at the age of death. Disability-adjusted life-years (DALYs) were calculated as the sum of YLLs and YLDs. We used the GBD 2023 comparative risk assessment framework to estimate cancer burden attributable to 44 behavioural, environmental and occupational, and metabolic risk factors. To forecast cancer burden from 2024 to 2050, we used the GBD 2023 forecasting framework, which included forecasts of relevant risk factor exposures and used Socio-demographic Index as a covariate for forecasting the proportion of each cancer not affected by these risk factors. Progress towards the UN Sustainable Development Goal (SDG) target 3.4 aim to reduce non-communicable disease mortality by a third between 2015 and 2030 was estimated for cancer. FINDINGS: In 2023, excluding non-melanoma skin cancers, there were 18.5 million (95% uncertainty interval …
pages: 1565-1586
doi: 10.1016/S0140-6736(25)01635-6
source: 41015051
creator: G. B. D. Cancer Collaborators
author list: G. B. D. Cancer Collaborators
is part of: Issue
  date: 2025-09-28
  volume: 406
  issue: 10512
  is part of: Lancet
    type: Journal
    short title: Lancet
    issn: 1474-547X (Electronic)

G. B. D. Cancer Collaborators
type: Organization