Data Sheet 1_Nonlinear association between serum insulin, visceral fat area, and kidney fu

595 female patients with type 2 diabetes from a hospital in Chengdu, Sichuan, between November 2018 and April 2023. This retrospective study by Yuqin Gan identifies nonlinear associations and specific thresholds between fasting insulin, visceral fat area, and estimated glomerular filtration rate. The analysis provides quantitative evidence for renal function risk stratification in this patient population.

Use Cases

• Modeling nonlinear relationships between metabolic markers and kidney function based on the described threshold effects.
• Investigating risk stratification for diabetic nephropathy in female patients based on insulin and visceral fat levels.
• Validating or comparing clinical thresholds for visceral fat area (73.6 cm²) and fasting insulin (70.28 pmol/L) in independent cohorts.
• Training predictive models for early kidney function decline using the described demographic and biochemical parameters.

Strengths

• Contains data from 595 patient records after exclusions, providing a substantive clinical sample.
• Includes specific, statistically derived thresholds (e.g., VFA 73.6 cm², FIns 70.28 pmol/L) for clinical interpretation.
• Covers a defined time range from November 1, 2018, to April 30, 2023, from a single tertiary hospital.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for certain modeling tasks.
• Data reflects a specific geographic and demographic bias (female patients from one hospital in Chengdu, China).

Provenance

Source

Electronic medical records from a tertiary hospital in Chengdu, Sichuan Province.

Collection Method

Retrospective analysis of patient data collected between November 1, 2018, and April 30, 2023.

Time Range

November 1, 2018 to April 30, 2023

Freshness

Last updated 2026-06-01 04:15:11; freshness should be verified.

Geography

Chengdu, Sichuan Province, China