Hypertension Patient Data on Inflammatory Indices and Diabetes Risk

A multicenter cohort study investigating the association between composite inflammatory indices and incident diabetes risk in patients with hypertension. The dataset, authored by Fengyou Yao and shared under a CC-BY-4.0 license, was last updated on April 21, 2026. It likely contains patient-level data used for Cox regression and Kaplan-Meier analyses.

Use Cases

• Predicting diabetes risk in hypertensive patients based on composite inflammatory indices mentioned in the description
• Comparing the predictive power of different inflammatory markers, such as the Inflammatory Burden Index (IBI)
• Modeling the cumulative incidence of diabetes using Kaplan-Meier survival analysis
• Investigating threshold effects of inflammatory levels on diabetes development

Strengths

• Data originates from a multicenter cohort study, suggesting a multi-source design.
• Analysis methods are explicitly described, including multivariable-adjusted Cox regression and Kaplan-Meier curves.
• The dataset is shared under a permissive CC-BY-4.0 license.

Limitations

• The dataset is very small at 23.5 KB, indicating limited scope or summary-level data.
• Row count and column-level documentation are unknown, which limits suitability assessment.
• The primary file format is DOCX, which is atypical for raw data and may contain a manuscript rather than structured data.

Provenance

Source

figshare

Collection Method

Likely collected from a multicenter clinical cohort study.

Freshness

Last updated 2026-04-21 04:12:54; freshness should be verified.