Prognostic Value of GNRI, SII and L3SMI in Elderly Esophageal Cancer Patients Undergoing D

De-identified clinical data from elderly patients aged 65 years and older with esophageal cancer who underwent definitive chemoradiotherapy. The dataset includes variables such as demographics, nutritional indices (GNRI), inflammatory markers (SII), body composition measurements (L3SMI), TNM stage, treatment details, and survival outcomes (OS, PFS). It is a 17.4 KB CSV file authored by Mingyu Li and last updated on 2026-04-28.

Use Cases

• Predicting overall survival (OS) based on nutritional indices (GNRI) and inflammatory markers (SII).
• Analyzing progression-free survival (PFS) in relation to body composition measurements (L3SMI).
• Investigating the relationship between TNM stage and treatment outcomes in elderly esophageal cancer patients.
• Building models to assess the combined prognostic value of GNRI, SII, and L3SMI for clinical decision support.

Strengths

• Dataset includes multiple prognostic indices (GNRI, SII, L3SMI) and key clinical outcomes (OS, PFS).
• Focus on a specific demographic (patients ≥65 years) undergoing a defined treatment (definitive chemoradiotherapy).
• Data is de-identified and shared under a permissive CC-BY-4.0 license.

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.
• The dataset is very small at 17.4 KB, indicating a limited scope and sample size.

Provenance

Source

figshare

Collection Method

Likely collected from clinical records of patients treated at an unspecified institution.

Freshness

Last updated 2026-04-28 09:48:28; freshness should be verified.