Gastroenterology Clinical Trial
Official title:
Outcome of Colonoscopy Screening and Surveillance
NCT number | NCT01827241 |
Other study ID # | DR11-0264 |
Secondary ID | |
Status | Recruiting |
Phase | |
First received | |
Last updated | |
Start date | September 2011 |
Est. completion date | December 2022 |
With this study, we plan to review the performance of colonoscopy in colon cancer screening and surveillance, especially with the recent improvements in endoscopic technology (high definition endoscopes), use of split dose preparation which provides excellent colon preparation for detection of lesions and increasing awareness and detection of flat lesions of the colon. The findings will help us define the role of colonoscopy screening 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 | 5000 |
Est. completion date | December 2022 |
Est. primary completion date | December 2021 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 18 Years and older |
Eligibility |
Inclusion Criteria: 1. All Patients who have undergone colonoscopy for screening, surveillance or symptom evaluation. Exclusion Criteria: 1. None |
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 | Polyp Detection in Colon Cancer Screening and Surveillance | 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. | 9 years |
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