Breast Cancer Mortality Trends and Years of Life Lost in China, 2013-2021

A statistical analysis of breast cancer mortality and premature death burden among Chinese residents from 2013 to 2021. The dataset, authored by Fulei Han and shared under a CC-BY-4.0 license, includes age-standardized mortality rates, Annual Percentage Change (APC) trends, and calculations for Potential Years of Life Lost (PYLL) and Value of Years of Life Lost (VYLL). It was last updated in May 2026.

Use Cases

• Analyzing temporal trends in breast cancer mortality based on Annual Percentage Change (APC) and Average Annual Percentage Change (AAPC) metrics.
• Assessing the burden of premature death based on Potential Years of Life Lost (PYLL) and Average Years of Life Lost (AYLL) calculations.
• Comparing regional and urban-rural health disparities based on mortality trends for the Eastern, Central, and Western regions of China.
• Evaluating the economic impact of premature mortality based on the Value of Years of Life Lost (VYLL) metric.

Strengths

• Provides a nine-year time series (2013-2021) for longitudinal analysis.
• Includes multiple analytical metrics: APC/AAPC for trends, and PYLL/AYLL/VYLL for burden quantification.
• Offers breakdowns by age group (e.g., 40-44, 65-69, 70-74), region (Eastern, Central, Western), and urban/rural residence.

Limitations

• The dataset is small (131.0 KB), suggesting it contains summary statistics rather than raw, record-level data.
• Column-level documentation is absent; field semantics must be inferred from the research paper description.
• Row count is unknown, which may limit suitability assessment for certain modeling tasks.

Provenance

Source

Chinese Cause of Death Monitoring Dataset.

Collection Method

Data analysis using Joinpoint regression models and years of life lost calculations.

Time Range

2013 to 2021

Freshness

Last updated 2026-05-20 05:45:50; freshness should be verified.

Geography

China, with regional (Eastern, Central, Western) and urban/rural breakdowns.