Bias in Prediction Models to Identify Patients With Colorectal Cancer at High Risk for Readmission After Resection.

Purpose: Machine learning algorithms are used for predictive modeling in medicine, but studies often do not evaluate or report on the potential biases of the models. Our purpose was to develop clinical prediction models for readmission after surgery in colorectal cancer (CRC) patients and to examine their potential for racial bias.

Methods: We used the 2012-2020 American College of Surgeons' National Surgical Quality Improvement Program (ACS-NSQIP) Participant Use File and Targeted Colectomy File.

A Case-Control Study of Dietary Choline Intake and Risk of Colorectal Cancer Modified by Dietary B-Vitamin Intake.

Background/objectives: The incidence of colorectal cancer (CRC) is rising, and Western diets high in red and processed meats may be contributing. It is important to identify dietary nutrients that increase CRC risk and perhaps interventions that may modulate such risk. The relationship between dietary choline intake and CRC is still unclear.

Investigating the coverage of the Arkansas All-Payer Claims Database for examining health disparities related to persistent poverty areas in colorectal cancer patients.

Purpose: We aimed to (1) determine the extent of coverage of colorectal cancer patients in Arkansas All-Payer Claims Database (APCD), (2) assess coverage difference between persistent poverty and other areas, and (3) identify patient, tumor, and area factors associated with inclusion in APCD.

Methods: Data were from 2018 to 2020 Arkansas APCD linked with 2019 Arkansas Central Cancer Registry (ACCR). We constructed four cohorts to assess APCD's coverage of CRC patients: (Cohort 1) ≥ 1 day of medical coverage in APCD in 2019; (Cohort 2) APCD coverage in the diagnosis month; continuous APCD coverage in the 30; Year around diagnosis (six months before to five months after diagnosis month) (Cohort 3); or until death within six months (Cohort 4).

Maximizing Readmission Reduction in Colon Cancer Patients.

Introduction: Multiple studies have identified risk factors for readmission in colon cancer patients. We need to determine which risk factors, when modified, produce the greatest decrease in readmission for patients so that limited resources can be used most effectively by implementing targeted evidence-based performance improvements. We determined the potential impact of various modifiable risk factors on reducing 30-d readmission in colon cancer patients.

Surgical versus non-surgical management for patients with malignant bowel obstruction (S1316): a pragmatic comparative effectiveness trial.

Background: Malignant small bowel obstruction has a poor prognosis and is associated with multiple related symptoms. The optimal treatment approach is often unclear. We aimed to compare surgical versus non-surgical management with the aim to determine the optimal approach for managing malignant bowel obstruction.