w-eCura: Risk Stratification for Salvage Surgery After Gastric Cancer ESD

290 patient records from Fujian Provincial Hospital, collected between January 2011 and July 2024, evaluate a new risk assessment system for early gastric cancer. The dataset includes clinicopathological characteristics like lesion size, histological type, and invasion depth, used to compare the w-eCura and eCura models. Author Yangyang Chen published this retrospective case-control study on figshare under a CC-BY-4.0 license.

Use Cases

• Validate the w-eCura risk scoring system based on clinicopathological features like lymphatic invasion and margin status.
• Compare predictive model performance using metrics like AUC, as described for the w-eCura (0.82) and eCura (0.79) systems.
• Analyze factors influencing positive cancer residue status based on variables such as lesion location and depth of invasion.
• Conduct survival analysis using Kaplan-Meier methods based on risk grades and monitored recurrence data.

Strengths

• Includes 290 patient records with a median follow-up duration of 32 months.
• Documents specific clinicopathological variables such as Paris classification, histological type, and margin status.
• Provides comparative model performance metrics, including an AUC of 0.82 for the w-eCura system.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data is from a single hospital (Fujian Provincial Hospital), which may limit generalizability.

Provenance

Source

Fujian Provincial Hospital

Collection Method

Retrospective case-control study of patients who underwent endoscopic submucosal dissection (ESD).

Time Range

January 2011 to July 2024

Freshness

Last updated 2026-05-19 17:25:34; freshness should be verified.

Geography

Likely Fujian Province, China, based on hospital location.