Risk Factors for Pathological Escalation of Gastric Low-Grade Intraepithelial Neoplasia

A multicenter retrospective study analyzed clinical data from patients who underwent gastric Endoscopic Submucosal Dissection at three hospitals in Zhejiang, China, from June 2018 to July 2024. The dataset, authored by Di-yun Shen and shared on figshare, was used to develop a nomogram predicting the risk of pathological upgrading in gastric low-grade intraepithelial neoplasia. The study involved 151 patients across training and validation cohorts, identifying five independent risk factors.

Use Cases

• Developing a predictive model for pathological upgrade risk based on identified factors like lesion size and Helicobacter pylori status.
• Validating clinical risk factors for gastric cancer progression using retrospective patient data.
• Comparing diagnostic accuracy between biopsy and post-Endoscopic Submucosal Dissection histopathology results.
• Training machine learning classifiers to stratify patients with low-grade intraepithelial neoplasia.

Strengths

• Multicenter design involving 151 patients from three hospitals, potentially increasing generalizability.
• Identified five specific independent risk factors, including lesion size ≥ 15 mm and male sex.
• The developed nomogram achieved an area under the curve of 0.891 in the training cohort, indicating strong initial discriminative ability.
• Includes a validation cohort of 68 patients for model assessment.

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data reflects a specific geographic and temporal bias, being from three hospitals in Zhejiang, China, between 2018 and 2024.

Provenance

Source

figshare, author Di-yun Shen.

Collection Method

Retrospective analysis of clinical data from patients undergoing gastric Endoscopic Submucosal Dissection.

Time Range

June 2018 to July 2024

Freshness

Last updated 2026-04-30 05:41:38; freshness should be verified.

Geography

Three hospitals in Zhejiang, China (Zhejiang Provincial Hospital of Chinese Medicine, Zhejiang Provincial People’s Hospital, Shaoxing People’s Hospital).