Prognostic Factor Analysis for Granulomatous Lobular Mastitis Patients

614 patient records for a clinical analysis of prognostic factors in granulomatous lobular mastitis. The dataset was created by Haiyan Zhang and last updated in April 2026. It is a small Excel file (13.5 KB) containing results from univariable and multivariate statistical analyses.

Use Cases

• Identify key prognostic factors (e.g., age, symptom duration, treatment type) associated with patient outcomes using the univariable analysis results.
• Build a multivariate regression model to predict clinical outcomes based on the combined effect of multiple patient and disease characteristics.
• Analyze the statistical significance (p-values, hazard ratios) of different variables from the provided analysis tables.
• Benchmark new patient data against the 614-case cohort to assess risk profiles for granulomatous lobular mastitis.

Strengths

• Analysis based on a specific cohort of 614 patients with granulomatous lobular mastitis.
• Provides results from both univariable and multivariate statistical methodologies.

Limitations

• Very small data size (13.5 KB), indicating it contains summary analysis tables, not the raw patient-level data.
• Limited scope; the dataset is a processed analysis output, restricting direct exploration of underlying variables.

Provenance

Source

Haiyan Zhang via figshare.

Collection Method

Clinical study analysis, likely from patient medical records.

Time Range

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Freshness

Last updated in April 2026.

Geography

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