ECCDIA

ECCDIA analyzes clinical and survival data from The Surveillance, Epidemiology, and End Results (SEER) database to characterize risk factors, prognostic variables, and survival probabilities in esophageal cancer.

Key Features:

• SEER data: Uses records from 77,273 esophageal cancer patients derived from the SEER database.
• Seven analysis modules: Comprises seven distinct analysis and visualization modules for clinical data exploration.
• Distribution analysis: Computes distribution analysis of clinical factor ratios to assess prevalence and relationships among clinical variables.
• Sankey plot analysis: Visualizes interrelationships among clinical factors using Sankey plots to show variable flows between patient subgroups.
• Geographical distribution map: Maps geographical distribution of clinical factors to identify regional trends and disparities.
• Survival analysis: Performs Kaplan–Meier (K–M) analysis and Cox proportional hazards modeling to evaluate survival probabilities and prognostic factors.
• Nomogram prediction: Provides nomogram-based survival probability prediction for esophageal cancer patient subgroups.

Scientific Applications:

• Risk factor characterization: Identification and quantification of clinical risk factors associated with esophageal cancer onset and progression.
• Prognostic factor identification: Detection of variables correlated with patient survival using K–M curves and Cox models.
• Subgroup survival prediction: Estimation of survival probabilities for defined patient subgroups via nomograms.
• Variable relationship analysis: Exploration of interactions among clinical factors through Sankey visualization.
• Geographical epidemiology: Assessment of regional variations in clinical factor distributions across the SEER cohort.

Methodology:

Uses SEER records (77,273 patients) and implements distribution analysis of clinical factor ratios, Sankey plots, geographic mapping, Kaplan–Meier (K–M) survival analysis, Cox proportional hazards modeling, and nomogram-based survival prediction.