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

A study analyzing breast cancer mortality trends and the burden of premature death among Chinese residents from 2013 to 2021. Data from the Chinese Cause of Death Monitoring Dataset were used to calculate Annual Percentage Change (APC) and metrics like Potential Years of Life Lost (PYLL). The analysis reveals shifting burdens toward rural areas and specific age cohorts, with results published by Fulei Han in 2026.

Use Cases

• Analyzing temporal mortality trends based on Annual Percentage Change (APC) and Average Annual Percentage Change (AAPC) statistics.
• Evaluating the burden of premature death based on Potential Years of Life Lost (PYLL), Average Years of Life Lost (AYLL), and Value of Years of Life Lost (VYLL) metrics.
• Comparing regional health disparities based on mortality rate trends in urban vs. rural areas and Eastern, Central, and Western regions.
• Investigating age-specific mortality patterns based on trends reported for cohorts like 40-44, 65-69, and 70-74 year-olds.

Strengths

• Analysis covers a 9-year period from 2013 to 2021.
• Uses multiple established public health metrics, including APC, PYLL, AYLL, and VYLL.
• Provides specific statistical results with 95% confidence intervals for different regions and age groups.

Limitations

• The underlying dataset is a 59.8 KB PDF; the raw tabular data is not directly accessible.
• Column-level documentation is absent; field semantics must be inferred from the study description.
• Row count is unknown, which may limit suitability assessment for direct modeling.

Provenance

Source

Chinese Cause of Death Monitoring Dataset.

Collection Method

Data were obtained from a national mortality monitoring system and analyzed using Joinpoint regression models.

Time Range

2013 to 2021

Freshness

Last updated 2026-05-20 05:45:51; freshness should be verified.

Geography

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