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

Analysis of breast cancer mortality trends among Chinese residents from 2013 to 2021, showing a stabilized national rate but significant increases in rural and central regions. The study by Fulei Han, published on figshare in 2026, quantifies premature death burden using Potential Years of Life Lost (PYLL) and economic impact via Value of Years of Life Lost (VYLL. It reveals disproportionate burdens in rural populations and the Western region, highlighting shifting health disparities.

Use Cases

• Analyzing temporal mortality trends based on Annual Percentage Change (APC) and Average Annual Percentage Change (AAPC) metrics.
• Evaluating the burden of premature death based on Potential Years of Life Lost (PYLL) and Average Years of Life Lost (AYLL) calculations.
• Assessing regional health disparities based on comparisons between urban, rural, Eastern, Central, and Western regions.
• Informing targeted screening programs based on age-specific mortality trends, such as increases in the 65-74 age cohorts.

Strengths

• Covers a 9-year time range from 2013 to 2021.
• Provides specific statistical results, including AAPC values with 95% confidence intervals for different regions and age groups.
• Uses multiple established public health metrics: mortality rates, PYLL, AYLL, and VYLL.

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 very small at 97.8 KB, indicating limited scope, likely containing summary statistics rather than raw records.

Provenance

Source

Chinese Cause of Death Monitoring Dataset.

Collection Method

Joinpoint regression models were employed to calculate APC/AAPC; PYLL, AYLL, and VYLL were calculated.

Time Range

2013 to 2021

Freshness

Last updated 2026-05-20 05:45:52; freshness should be verified.

Geography

China, with analysis by urban/rural areas and Eastern, Central, Western regions.