Table 1_Future landscapes of women’s hormone-sensitive cancers: unraveling global trends,

Hormone-sensitive cancers showed the fastest incidence increase in the reproductive age group from 1990 to 2021, with an estimated annual percentage change of 0.44. This dataset, authored by Yi Zhou and updated in 2026, provides a global assessment of cancer burden using metrics like age-standardized incidence and death rates, decomposed risk factors, and forecasts to 2035. It is derived from the Global Burden of Disease study and analyzes trends across age groups and socio-demographic index levels.

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 referenced in the results.
• Decomposing contributions of risk factors like dietary risks and high BMI to cancer mortality as described.
• Evaluating age-stratified trends in incidence and mortality across reproductive, pre-elderly, and elderly adult groups.

Strengths

• Includes forecasts extending to 2035 using a Bayesian Age-Period-Cohort model.
• Provides age-stratified data for three distinct groups: reproductive, pre-elderly, and elderly adults.
• Covers a long temporal range from 1990 to 2021, with analysis of estimated annual percentage changes.
• Derived from the authoritative Global Burden of Disease study.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is small (191.6 KB), suggesting limited scope or highly aggregated data.

Provenance

Source

Global Burden of Disease (GBD) study

Collection Method

Statistical analysis of GBD data, decomposition analysis, inequality analysis, and Bayesian forecasting modeling.

Time Range

1990–2021, with forecasts to 2035

Freshness

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

Geography

Global