Clinical trial · Interventional
Predicting Risk for Post-polypectomy Colorectal Cancer
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Why stopped (as posted): Alternative method of implementation, study not needed
Summary
Brief summary (as posted)
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
Conditions (4)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Colorectal Adenoma | Colorectal Adenoma | ONTOLOGY_EXACT | 0.98 |
| Colorectal Cancer | Malignant Colorectal Neoplasm | CURATED_BROADER | 0.80 |
| Colorectal Polyp | — | UNRESOLVED | — |
| Neoplasm, Colorectal | Colorectal Neoplasm | ONTOLOGY_EXACT | 0.98 |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Logistic regression risk model | Device | — | UNRESOLVED |
Design
Arms and outcomes
Arms (1)
- type
- EXPERIMENTAL
- label
- Use of risk prediction scores
- description
- The prediction model is being used to identify patients who are at highest risk for colorectal cancer based on their risk scores.
- interventionNames
- Device: Logistic regression risk model
Primary outcomes (1)
- measure
- Rates of colorectal neoplasia per number of colonoscopies performed
- timeFrame
- 1 year
- description
- The investigators anticipate observing changed rates of colorectal neoplasia per number of colonoscopies performed on account of prioritizing higher risk patients.
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
- Maximum age
- 85 Years
Show eligibility criteria text
Inclusion Criteria: Patients are on the current colonoscopy pending list; excluding those who were fecal immunochemical test-positive, screening colonoscopies, had a colonoscopy in last 12 months or on a voluntary "pause" list * Hereditary colorectal cancer syndrome (e.g. Lynch syndrome) * Diagnostic, fecal immunochemical test -positive, or screening indication for colonoscopy
References
Publications (0)
Data not yet available