Cardiometabolic Risk and Remnant Cholesterol Associations in Chinese and Japanese Cohorts

Yibo Li published a research dataset on figshare in June 2026. It contains data from two East Asian cohorts, a Chinese cohort of 112,694 individuals and a Japanese cohort of 12,489 individuals, used to study the association between remnant cholesterol and incident diabetes. The analysis employed Cox regression models, restricted cubic splines, extreme gradient boosting, and mediation analysis.

Use Cases

• Predicting diabetes risk based on remnant cholesterol levels and cardiometabolic risk factor status.
• Analyzing nonlinear associations between biomarkers and disease incidence using restricted cubic splines.
• Comparing the predictive performance of remnant cholesterol against LDL-C and total cholesterol via ROC analysis.
• Investigating mediation effects of cardiometabolic risk factors on the relationship between remnant cholesterol and diabetes.

Strengths

• Dataset includes a large Chinese cohort of 112,694 individuals.
• Analysis uses multiple advanced statistical methods, including XGBoost and mediation analysis.
• Results include specific threshold values, such as a 0.5 mmol/L RC level for increased DM risk in the Chinese cohort.

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 small in size (130.6 KB), suggesting limited scope or aggregated summary data.

Provenance

Source

Yibo Li via figshare.

Collection Method

Data likely originates from observational cohort studies.

Freshness

Last updated 2026-06-01 04:17:36; freshness should be verified.

Geography

East Asia (China and Japan).