Predicting Risk for Post-polypectomy Colorectal Cancer

NCT05606081 · Status: WITHDRAWN · Phase: NA · Type: INTERVENTIONAL

Last updated 2023-02-28

No results posted yet for this study

Summary

This originated as an observational study of Kaiser Permanente Northern California (KPNC) patients with a history of adenoma diagnosed by colonoscopy who received a subsequent surveillance colonoscopy between 2014 and 2019. The original goal of the study was to develop a risk prediction model that would help identify patients at highest risk for a diagnosis of advanced neoplasia (colorectal cancer and/or advanced adenoma) at or within 6 months following their surveillance colonoscopy. Candidate predictors of interest included patient demographics, medical history, and details related to the index colonoscopy. The investigators are now at the implementation stage and applying the risk prediction model to patients awaiting surveillance colonoscopy at select KPNC service areas to help identify those at highest risk for colorectal cancer based on their risk scores.

Conditions

Interventions

DEVICE

Logistic regression risk model

Logistic regression model to assign risk score, plus time overdue and PROMPT risk category

Sponsors & Collaborators

  • The Permanente Medical Group

    collaborator UNKNOWN
  • Kaiser Permanente

    lead OTHER

Principal Investigators

  • Theodore R Levin, MD · Kaiser Permanente Northern California, Division of Research

Study Design

Allocation
NA
Purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
18 Years
Max Age
85 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2022-09-01
Primary Completion
2023-09-01
Completion
2023-12-31
FDA Device
Yes

Countries

  • United States

Study Locations

More Related Trials

Entities

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05606081 on ClinicalTrials.gov