Long-Term Trends in Leukemia Subtype Burden in China, 1990-2021
by Yudi Shangguan·Updated 2d ago
14.4 KB1files
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Description
China's leukemia burden from 1990 to 2021 is analyzed for four major subtypes: acute myeloid leukemia (AML), chronic myeloid leukemia (CML), acute lymphoblastic leukemia (ALL), and chronic lymphocytic leukemia (CLL). The dataset, authored by Yudi Shangguan and shared in 2026, uses Global Burden of Disease 2021 data to assess incidence, deaths, and disability-adjusted life years (DALYs), stratified by age and sex.
Use Cases
Analyze long-term incidence trends for leukemia subtypes based on age-standardized incidence rates (ASIRs) from 1990 to 2021.
Project future leukemia incidence rates through 2046 based on Bayesian age-period-cohort modeling results.
Assess the contribution of risk factors like smoking and high body-mass index to leukemia burden based on attributable DALYs.
Compare epidemiological profiles and age distributions across leukemia subtypes like AML, CML, ALL, and CLL.
Strengths
Covers a long time series of 32 years (1990-2021) for trend analysis.
Analyzes four distinct leukemia subtypes with separate epidemiological profiles.
Includes projections for future incidence rates up to 2046.
Stratifies data by age and sex, and quantifies burden using multiple metrics like incidence, deaths, and DALYs.
Limitations
Row count is unknown, which may limit suitability assessment.
Column-level documentation is absent; field semantics must be inferred after download.
The dataset is very small (14.4 KB), suggesting it may contain summary statistics rather than granular patient-level data.
Provenance
Source
Global Burden of Disease (GBD) 2021 database
Collection Method
Joinpoint regression, age-period-cohort (APC) modeling, and Bayesian APC modeling applied to GBD data.
Time Range
1990 to 2021, with projections to 2046
Freshness
Last updated 2026-06-04 04:32:12; freshness should be verified.
Geography
China
Data is provided in a DOCX file format, which may require extraction or conversion for programmatic analysis.