Adjusted Odds of Early Discharge for Rectal Cancer Proctectomy Patients, 2016-2021

A 2016-2021 analysis of an estimated 39,505 adult rectal cancer patients undergoing proctectomy, examining associations between early discharge and 30-day outcomes. The dataset, created by Aboubacar Cherif and shared on figshare, contains results from multivariable regression and entropy balancing models. It was last updated on May 4, 2026.

Use Cases

• Modeling readmission risk based on discharge timing and patient characteristics mentioned in the description.
• Analyzing hospitalization cost drivers for proctectomy procedures based on the reported cost differentials.
• Comparing perioperative outcomes between laparoscopic and open surgical approaches referenced in the results.
• Evaluating the feasibility of enhanced recovery protocols for rectal cancer surgery based on the study's conclusions.

Strengths

• Based on a nationally representative cohort of an estimated 39,505 patients.
• Employs entropy balancing and multivariable regression to adjust for intergroup differences.
• Provides specific statistical results, including adjusted odds ratios and cost differences with confidence intervals.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect temporal and source bias inherent to the Nationwide Readmissions Database.

Provenance

Source

Nationwide Readmissions Database

Collection Method

Retrospective cohort analysis using multivariable regression and entropy balancing.

Time Range

2016-2021

Freshness

Last updated 2026-05 04 17:27:12; freshness should be verified.

Geography

United States (nationally representative)