TyG Index and Renal Function Progression in 53,607 CKD Patients, 2005-2022

Fan Zhu's dataset on figshare contains a retrospective cohort of 53,607 patients with chronic kidney disease (CKD) stages 3–4 from the China Renal Data System. It investigates the association between the baseline triglyceride-glucose (TyG) index and renal function progression over a median follow-up of 31.18 months. The data was last updated on 2026-04-28.

Use Cases

• Predicting renal function progression risk based on the TyG index and patient characteristics.
• Analyzing the non-linear, U-shaped association between the TyG index and CKD progression.
• Conducting subgroup analyses to assess risk across different patient demographics.
• Building prognostic models for early risk stratification in high-risk CKD populations.

Strengths

• Dataset includes 53,607 patient records from a multicenter study.
• Longitudinal data with a median follow-up period of 31.18 months.
• Analysis includes multivariate Cox models, restricted cubic splines, and sensitivity analyses.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the underlying analysis table is unknown, which may limit suitability assessment.
• Data may reflect geographic and temporal bias inherent to the China Renal Data System source.

Provenance

Source

China Renal Data System (CRDS)

Collection Method

Multicenter retrospective cohort study.

Time Range

2005 to 2022

Freshness

Last updated 2026-04-28 05:24:23; freshness should be verified.

Geography

China