Serum Vitamin D and Metabolic Markers in 485 Diabetic Patients

Yanmei Lin's research dataset from 2026 contains clinical records for 485 diabetic patients, analyzing associations between serum vitamin D levels and metabolic parameters. The data includes patient quartiles based on vitamin D levels and statistical results from correlation, regression, and restricted cubic spline modeling. The dataset was last updated on 2026-05-19 and is shared under a CC-BY-4.0 license.

Use Cases

• Analyzing dose-response relationships between vitamin D and HbA1c levels based on the described statistical modeling.
• Investigating the association between vitamin D levels and microalbuminuria (ACR) in diabetic patients.
• Stratifying patient outcomes by vitamin D deficiency status using the described quartile groupings.
• Modeling potential plateau effects of vitamin D supplementation above 50 nmol/L on metabolic parameters.

Strengths

• Dataset includes 485 patient records with a defined cohort structure (quartiles Q1-Q4).
• Analysis includes specific correlation coefficients (e.g., ρ = -0.425 for HbA1c) and confidence intervals for key findings.
• Study design employed multiple statistical methods: Spearman’s correlation, multivariate linear regression, and restricted cubic spline modeling.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the underlying raw data is unknown, which may limit suitability assessment.
• The 14.4 KB file size suggests a very limited scope, likely containing summary results rather than the full patient-level dataset.

Provenance

Source

Yanmei Lin via figshare

Collection Method

Retrospective clinical study of 485 diabetic patients.

Freshness

Last updated 2026-05-19 21:01:11; freshness should be verified.