Table 1_The dual role of urinary C-peptide/creatinine ratio: predicting insulin resistance

A cross-sectional study of 447 individuals enrolled from November 2023 to September 2025. The dataset likely contains clinical measurements from 255 non-diabetic adults and 192 patients with type 2 diabetes, focusing on urinary C-peptide/creatinine ratios. It was authored by Shufen Yin and published on figshare.

Use Cases

• Predict insulin resistance in non-diabetic adults based on fasting and postprandial urinary C-peptide/creatinine ratios.
• Assess risk of diabetic microvascular complications in patients with type 2 diabetes based on 2-hour postprandial urinary C-peptide/creatinine ratio.
• Evaluate the diagnostic accuracy of urinary biomarkers using receiver operating characteristic curve analysis.
• Build regression models linking urinary C-peptide/creatinine ratios to Matsuda index or HOMA-β scores.

Strengths

• Dataset includes 447 individuals, split into two distinct cohorts for analysis.
• Study reports specific correlation coefficients (e.g., r = -0.636) and diagnostic AUC values (e.g., 0.831).
• Measurements include both fasting (0hUCPCR) and 2-hour postprandial (2hUCPCR) urinary ratios.

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 62.6 KB, indicating a very limited scope.

Provenance

Source

figshare

Collection Method

Cross-sectional study with measurements from fasting and postprandial tests.

Time Range

November 2023 to September 2025

Freshness

Last updated 2026-03-19 05:17:14