Table 1_C-reactive protein-to-albumin ratio improves prediction of 6-month major adverse l

A retrospective cohort study of 139 hospitalized patients with diabetic foot ulcers from a regional referral center in Northwest China between January 2020 and January 2025. The dataset was used to evaluate the prognostic value of the C-reactive protein-to-albumin ratio for predicting 6-month major adverse limb events. The study was authored by Aihemaitijiang Aihetaier and shared under a CC-BY-4.0 license.

Use Cases

• Developing a risk prediction nomogram for major adverse limb events based on C-reactive protein-to-albumin ratio and ulcer area.
• Training a binary classification model to predict 6-month adverse outcomes using clinical and inflammatory markers.
• Conducting a bootstrap internal validation of a clinical prediction model as described in the study.
• Performing decision curve analysis to assess the clinical utility of adding a new biomarker to a base model.

Strengths

• Includes data for 139 patients with complete records from a 5-year study period (2020-2025).
• Model performance was assessed with multiple metrics including AUC, Brier score, and bootstrap validation.
• The dataset is associated with a published study methodology including multivariable logistic regression.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect geographic bias inherent to a single referral center in Northwest China.

Provenance

Source

figshare

Collection Method

Retrospective cohort study of patient records from a regional referral center.

Time Range

January 2020 to January 2025

Freshness

Last updated 2026-04-28 04:29:27; freshness should be verified.

Geography

Northwest China