Global Thyroid Cancer Burden Attributable to High BMI 1990-2021

Encompassing estimates of the global burden of thyroid cancer attributable to high body mass index (BMI) from 1990 to 2021. It includes metrics such as deaths, disability-adjusted life years (DALYs), and age-standardized rates (ASRs), analyzed using methods like estimated annual percentage change (EAPC) and joinpoint regression.

Use Cases

• Analyze temporal trends in thyroid cancer deaths and DALYs attributable to high BMI using estimated annual percentage change (EAPC) and joinpoint regression.
• Examine global inequality in age-standardized rates (ASRs) of thyroid cancer burden using slope and concentration indices.
• Project future burden of thyroid cancer attributable to high BMI through 2036 using Bayesian age-period-cohort modeling.
• Decompose changes in the global burden of thyroid cancer over time using decomposition analysis on deaths and DALYs data.

Strengths

• Provides a 32-year time series from 1990 to 2021 for analyzing long-term trends.
• Includes multiple burden metrics: deaths, disability-adjusted life years (DALYs), and age-standardized rates (ASRs).
• Data is derived from the authoritative Global Burden of Disease Study 2021.
• Analysis employs advanced statistical methods including joinpoint regression and Bayesian modeling.

Limitations

• The dataset is very small at 9.7 KB, indicating limited scope and likely aggregated summary statistics rather than granular records.
• Specific row and column counts are unknown, limiting understanding of the dataset's structure and detail.
• As a derived analysis, it may not contain the underlying raw data for independent validation or alternative modeling.

Provenance

Source

Global Burden of Disease Study 2021

Collection Method

Secondary analysis of GBD 2021 data using estimated annual percentage change (EAPC), joinpoint regression, decomposition analysis, and Bayesian age-period-cohort modeling.

Time Range

1990 to 2021, with projections to 2036.

Freshness

Last updated March 2026, with data covering up to 2021.

Geography

Global