Data Sheet 1_Future landscapes of women’s hormone-sensitive cancers: unraveling global tre

Global Burden of Disease study data on hormone-sensitive cancers in women from 1990 to 2021, with forecasts to 2035. The dataset includes age-standardized incidence, death, and DALY rates, estimated annual percentage changes, and risk factor contributions. It was authored by Yi Zhou and last updated on 2026-05-01.

Use Cases

• Forecasting cancer burden trends to 2035 based on the Bayesian Age-Period-Cohort model mentioned in the description
• Analyzing regional health inequities based on socio-demographic index (SDI) data described
• Investigating age-specific mortality and incidence patterns across reproductive, pre-elderly, and elderly groups
• Modeling the contribution of risk factors like dietary risks, alcohol use, and tobacco to cancer burden

Strengths

• Data spans a 31-year period from 1990 to 2021 with forecasts extending to 2035
• Includes multiple standardized metrics: Age-standardized incidence (ASIR), death (ASDR), and DALY rates (ASDiR)
• Analysis is stratified by three age groups and incorporates risk factor decomposition

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• The primary file format is DOCX, which may require conversion for analytical use

Provenance

Source

Global Burden of Disease (GBD) study

Collection Method

Retrieved burden data from GBD, analyzed with decomposition, inequality, frontier, and Bayesian Age-Period-Cohort modeling.

Time Range

1990-2021 with forecasts to 2035

Freshness

Last updated 2026-05-01 12:20:55; freshness should be verified

Geography

Global