HbA1c Control Factors Regression Analysis

13.5 KB Excel file contains regression analysis results examining factors linked to changes in the proportion of patients with HbA1c ≥ 7% over time. The dataset was authored by Romina Belen Carpio-Martinez and last updated in April 2026. It presents both crude and adjusted Generalized Estimating Equations (GEE) regression analyses.

Use Cases

• Identify demographic factors associated with HbA1c control changes using regression coefficients.
• Assess the impact of therapeutic interventions on HbA1c levels via adjusted model results.
• Analyze laboratory factors' correlation with glycemic outcome shifts from baseline to follow-up.

Strengths

• Provides both crude and adjusted regression analyses for comparison.
• Released under a permissive CC-BY-4.0 license.
• Recent update in April 2026.

Limitations

• Very small 13.5 KB size indicates limited scope, likely summary statistics only.
• Unknown row count and lack of raw patient data restricts direct analysis.
• Geographic and demographic coverage of the underlying patient cohort is unspecified.

Provenance

Source

figshare, authored by Romina Belen Carpio-Martinez.

Collection Method

Results from Generalized Estimating Equations (GEE) regression analyses.

Time Range

Baseline to follow-up period (specific dates unknown).

Freshness

Updated April 2026.

Geography

null