Colon Polyps Clinical Trial
Official title:
Prospective Study of Colonoscopic Resection of Large Polyps and Flat Lesions
NCT number | NCT02332772 |
Other study ID # | PA14-0866 |
Secondary ID | |
Status | Recruiting |
Phase | |
First received | |
Last updated | |
Start date | April 2015 |
Est. completion date | April 2025 |
Verified date | May 2019 |
Source | M.D. Anderson Cancer Center |
Contact | Gottumukkala S. Raju, MD |
Phone | 713-563-4377 |
Is FDA regulated | No |
Health authority | |
Study type | Observational |
With this study, the investigators plan to review the performance of colonoscopic resection of large (> 1 cm) and flat lesions in the colon. The findings will help us define the role of colonoscopic resection of colon polyps and flat lesions and identity areas for improvement. The data will be used for continuing quality improvement and presenting our outcomes at academic meetings and publishing our results in peer reviewed journals.
Status | Recruiting |
Enrollment | 10000 |
Est. completion date | April 2025 |
Est. primary completion date | April 2025 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | N/A and older |
Eligibility |
Inclusion Criteria: 1. All Patients who have been referred for endoscopic resection of large polyps (>1 cm) and flat lesions. Exclusion Criteria: N/A |
Country | Name | City | State |
---|---|---|---|
United States | University of Texas MD Anderson Cancer Center | Houston | Texas |
Lead Sponsor | Collaborator |
---|---|
M.D. Anderson Cancer Center |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Composite Data Review of Colonoscopic Resection of Colon Polyps and Flat Lesions | Descriptive tables presented for demographics, polyp counts, colonoscopy experiences, polyp removals and findings. Proportions presented with 95% confidence intervals. Continuous values such as age and times presented with median, minimum and maximum. Comparisons among patient subgroups made with chi-square tests for categorical data and t-tests or the non-parametric alternative, Wilcoxon tests, to compare continuous measures. Graphics such as box plots, trellis plots, bar graphs, or stacked bar graphs used to describe distributions overall and among subgroups. |
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