Postoperative Nutrition and Complication Risk in Gastrointestinal Cancer Surgery

A prospective observational cohort of 642 adults undergoing elective gastrectomy or partial colectomy for gastrointestinal malignancy. The dataset, authored by Zi Liu and shared under CC-BY-4.0, quantifies energy and protein intake during postoperative days 1-2 and tracks complications within 30 days after surgery to model dose-response relationships.

Use Cases

• Modeling nonlinear dose-response relationships between caloric intake and complication risk based on energy intake data.
• Identifying optimal protein intake ranges for minimizing postoperative complications based on protein intake data.
• Training risk prediction models using demographic, surgical, oncologic, and nutritional covariates mentioned in the description.
• Validating enhanced recovery after surgery (ERAS) protocols by analyzing associations between early nutritional support and clinical outcomes.

Strengths

• Includes data from 642 patients, providing a substantial cohort for analysis.
• Employs multivariable logistic regression with restricted cubic splines for robust nonlinear association testing.
• Defines specific optimal intake ranges (e.g., 12.8–20.1 kcal/kg/day for energy) with bootstrap validation.
• Adjusts for key covariates including GLIM-defined malnutrition.

Limitations

• Row count and column-level documentation are unknown, which limits suitability assessment and requires manual inspection.
• The dataset is small in scale at 818.3 KB, indicating limited scope.
• Data may reflect bias inherent to the single-center, prospective observational study design described.

Provenance

Source

figshare

Collection Method

Prospective observational cohort study.

Freshness

Last updated 2026-05-13 04:30:02; freshness should be verified.