Cox Regression Analysis of Mortality Risk Factors for Hemodialysis Patients

A 5.5 KB Excel dataset containing univariate and multivariate Cox regression analysis results for mortality. The data was uploaded by Joyce Noelly Vitor Santos to figshare and last updated on March 18, 2026. The adjusted model includes factors like sex, age, BMI, hemodialysis vintage, diabetes, hemoglobin, phosphorus, and albumin levels.

Use Cases

• Identify significant mortality risk factors based on hazard ratios and confidence intervals.
• Validate the prognostic value of gait speed (≤1.13 m/s) in hemodialysis populations.
• Build survival models adjusted for established clinical factors like diabetes and albumin levels.

Strengths

• Data is licensed under CC-BY-4.0, permitting open sharing and adaptation.
• Analysis includes both univariate and multivariate models for comparative assessment.
• Specific p-value and hazard ratio thresholds (*p<0.05) are provided for significance testing.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 5.5 KB, indicating limited scope.

Provenance

Source

Joyce Noelly Vitor Santos via figshare.

Collection Method

Likely derived from a clinical study of 120 eligible patients undergoing hemodialysis.

Freshness

Last updated 2026-03-18 17:28:54; freshness should be verified.