Care Dependency Trajectories and Predictors Following Gastric Cancer Surgery

A longitudinal study of 223 patients who underwent laparoscopic radical gastrectomy for gastric cancer. Care dependency was assessed at five postoperative time points, and latent growth mixture modeling identified four distinct trajectory classes. The dataset was created by Zheng-Ke-Ke Tan and last updated on 2026-06-04.

Use Cases

• Modeling longitudinal care dependency trajectories based on repeated postoperative assessments.
• Identifying predictors of recovery subtypes based on sociodemographic and clinical variables like age and BMI.
• Comparing characteristics of patient subgroups like the low dependency-stable group versus the persistent dependency group.

Strengths

• Longitudinal design with data collected at five specific postoperative time points from day 1 to 3 months.
• Analysis identifies four distinct care dependency trajectory classes with specific prevalence percentages (e.g., 62.13% in the complete dependency-increased group).
• Includes analysis of multiple predictor variables such as psychological resilience, social support, and time to first ambulation.

Limitations

• Row count for the underlying data is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 38.3 KB, indicating limited scope.

Provenance

Source

figshare

Collection Method

Longitudinal observational study assessing patients post-surgery using the Care Dependency Scale.

Time Range

Postoperative period from day 1 to 3 months.

Freshness

Last updated 2026-06-04 04:30:24; freshness should be verified.