- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04196088
To Compare Artificial Intelligence Software Aided Adenoma Detection in Screening Colonoscopies Versus Standard Colonoscopy Without Artificial Intelligence Software Assistance in Participants Between 45 and 75 Years of Age (AIDA)
March 17, 2021 updated by: Docbot, Inc.
AIDA: A Multicenter, Prospective, Randomized Controlled Trial to Evaluate the Clinical Efficacy and Safety of Artificial Intelligence (AI) Detection of Adenomas (AIDA) With Standard High Definition With Light in Screening Colonoscopy
The aim of this study is to assess the efficacy of Ultivision Artificial Intelligence (AI) Software in detecting adenomas in screening colonoscopy procedures.
The safety of Ultivision AI Software will also be assessed.
A subset of the subjects will enter a roll-in period for clinical trial safety assessment.
The remainder of subjects who are eligible will enter the detection phase which comprises a screening colonoscopy procedure.
In the detection phase, subjects will be randomized to a screening colonoscopy with Ultivision AI Software enhancement or without AI Software enhancement.
The study will measure the mean adenomas per colonoscopy procedure, as defined by the protocol, detected while receiving either treatment option.
Study Overview
Status
Recruiting
Study Type
Interventional
Enrollment (Anticipated)
978
Phase
- Not Applicable
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Efren Rael, MD
- Phone Number: 7179030979
- Email: efren.rael@docbot.ai
Study Contact Backup
- Name: Andrew Ninh
- Phone Number: 7147166674
- Email: andrew.ninh@docbot.ai
Study Locations
-
-
Alabama
-
Birmingham, Alabama, United States, 35209
- Recruiting
- Gastro Health
-
Contact:
- Robert Shaffer, MD
- Email: robertshaffer@hotmail.com
-
-
California
-
San Diego, California, United States, 92114
- Recruiting
- Precision Research Institute
-
Contact:
- Josie Summers
- Phone Number: 619-501-0371
- Email: josie@prisandiego.com
-
Contact:
- Cristina Ortega
- Phone Number: 619-501-0371
- Email: Cristina@prisandiego.com
-
Principal Investigator:
- Taddese T Desta, MD
-
-
Kansas
-
Kansas City, Kansas, United States, 66103
- Recruiting
- Kansas City Veterans Administration
-
Contact:
- Prateek Sharma, MD
- Phone Number: 816-861-4700
- Email: psharma@kumc.edu
-
Contact:
- April Higbee
- Email: april.higbee@va.gov
-
-
Maryland
-
Chevy Chase, Maryland, United States, 20815
- Recruiting
- Capital Digestive Care
-
Contact:
- Louis Y Korman, MD
- Phone Number: 240-737-0085
- Email: louis.korman@capitaldigestivecare.com
-
-
New York
-
New York, New York, United States, 10010
- Recruiting
- East Side Endoscopy
-
Contact:
- Ira Breite, MD
- Phone Number: 212-375-1065
-
Contact:
- Natalie Neri, RN
- Phone Number: 212-375-1065
-
-
Ohio
-
Mentor, Ohio, United States, 44060
- Recruiting
- Great Lakes Gastroenterology Research, LLC, Clinical Trials Network
-
Contact:
- Cortney Vazquez
- Email: cvazquez@thectnx.com
-
-
Virginia
-
Fairfax, Virginia, United States, 22031
- Recruiting
- Verity Research Inc., Gastro Health
-
Principal Investigator:
- Bezawit Tekola, MD
-
Contact:
- Dana Zahid
- Phone Number: 703-776-1795
- Email: dzahid@gastrohealth.com
-
Contact:
- Joon Lee
- Phone Number: 703-776-1795
- Email: jlee@gastrohealth.com
-
Norfolk, Virginia, United States, 23502
- Recruiting
- Gastrointestinal & Liver Specialists of Tidewater, PLLC
-
Contact:
- David Johnson, MD
- Email: dajevms@aol.com
-
-
Wisconsin
-
Milwaukee, Wisconsin, United States, 53215
- Recruiting
- Wisconsin GI Associates
-
Contact:
- Nalini Guda, MD
- Phone Number: 414-908-6503
- Email: nguda@wisc.edu
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
41 years to 71 years (Adult, Older Adult)
Accepts Healthy Volunteers
No
Genders Eligible for Study
All
Description
Primary Inclusion Criteria.
- Average risk asymptomatic subjects undergoing a first colonoscopy (screening) or screening colonoscopy at least 10 years after prior colonoscopy.
- Aged 45 years to aged 75 years at the time of enrollment.
- Capable of providing written informed consent and willing and able to adhere to all protocol requirements, and/or the subject's legally acceptable representative(s) capable of providing written informed consent.
Primary Exclusion Criteria.
- History of any colorectal cancer or colon adenomas.
- History of inflammatory bowel disease, including Crohn's disease or ulcerative colitis.
- Family history of colon cancer or precancerous colon polyp in a first degree relative before age 50.
- Polyposis syndromes including Familial Adenomatous Polyposis, Cowden syndrome, Lynch syndrome, Peutz-Jeghers syndrome, MUTYH Associated Polyposis, Familial Colorectal Cancer Type X.
- Surveillance, therapeutic, preoperative, or diagnostic colonoscopy.
- Colonoscopy for work-up of abdominal or pelvic symptoms including abdominal pain, flank pain, pelvic pain, subject report of altered stool, subject report of anemia within the past 12 months, subject report of gastrointestinal bleeding including bright red blood per rectum or tarry stools, constipation, diarrhea, subject reported history of abdominal or pelvic mass, subject report of unintentional weight loss.
- Workup or referral to diagnose or evaluate abnormal imaging of the abdomen or pelvis.
- Positive Fecal Immunochemical Test history.
- Severe co-mobordity, including end-stage cardiovascular, pulmonary, liver, or renal disease.
- History of colon resection, not including the appendix.
- Currently receiving a therapy not permitted during the trial, as defined in Section 8.3.
- Any issue that, in the opinion of the investigator, would render the subject unsuitable for participation in the trial.
Enrolled subjects will be eligible for Post-procedure Periods if their colonoscopy meets the following criteria:
- Adequate bowel preparation score per the Boston Bowel Preparation Scoring System (BBPS) > or equal to 2 in all colonic segments.
- Colonoscopies with successful cecal intubation.
- Colonoscopies with withdrawal times of at least 6 minutes.
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Primary Purpose: Screening
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Double
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Active Comparator: Ultivision AI Software enhanced screening colonoscopy
Ultivision Artificial Intelligence enhanced screening colonoscopies will be performed.
|
Screening Colonoscopy
|
|
Placebo Comparator: No AI enhancement screening colonoscopy
Screening colonoscopies without Artificial Intelligence enhancement will be performed.
|
Screening Colonoscopy
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Overall adenoma detection, as defined by the protocol, using Ultivision AI software in subjects undergoing screening standard high definition white light colonoscopy (SHDWLC) versus screening SHDWLC without AI.
Time Frame: through study completion, an average of 1 year
|
The primary efficacy endpoint is the mean adenomas per colonoscopy procedure (MAP) detection, as defined by the protocol, with Ultivision AI software enhancement to screening standard high definition white light colonoscopy (SHDWLC) versus screening SHDWLC without AI.
|
through study completion, an average of 1 year
|
|
Overall adenomas per extraction, as defined by the protocol, using Ultivision AI software in subjects undergoing screening standard hiigh definition white light colonoscopy (SHDWLC) versus screening SHDWLC without AI.
Time Frame: through study completion, an average of 1 year
|
The primary safety endpoint is the adenomas per extraction per colonoscopy procedure (APE), as defined by the protocol, using Ultivision AI software in subjects undergoing screening standard high definition white light colonoscopy (SHDWLC) versus SHDWLC without AI.
|
through study completion, an average of 1 year
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Adenoma detection rate, as defined by the protocol, using Ultivision AI software in subjects undergoing screening standard high definition white light colonoscopy (SHDWLC) versus screening SHDWLC without AI.
Time Frame: through study completion, an average of 1 year
|
The secondary efficacy endpoint is the adenoma detection rate (ADR) defined as the ratio of screening colonoscopies with at least one adenoma, as defined by the protocol, detected divided by the total number of screening SHDWLC performed with Ultivision AI versus screening SHDWLC performed without AI.
|
through study completion, an average of 1 year
|
Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Advanced adenoma detection rate (AADR) using Ultivision AI software in subjects undergoing screening standard high definition white light colonoscopy (SHDWLC) versus screening SHDWLC without AI.
Time Frame: through study completion, an average of 1 year
|
Advanced adenoma detection rate (AADR) on SHDWLC using AI versus SHDWLC without AI.
|
through study completion, an average of 1 year
|
|
Sessile serrated adenoma/polyp (SSA/P) detection rate using Ultivision AI software in subjects undergoing screening standard high definition white light colonoscopy (SHDWLC) versus screening SHDWLC without AI.
Time Frame: through study completion, an average of 1 year
|
Sessile serrated adenoma/polyp (SSA/P) detection rate on SHDWLC using AI versus SHDWLC without AI.
|
through study completion, an average of 1 year
|
|
Polyp detection rate using Ultivision AI software in subjects undergoing screening standard high definition white light colonoscopy (SHDWLC) versus screening SHDWLC without AI.
Time Frame: through study completion, an average of 1 year
|
Polyp detection rate on SHDWLC using AI versus SHDWLC without AI.
|
through study completion, an average of 1 year
|
|
Flat versus polypoid lesion detection rate using Ultivision AI software in subjects undergoing screening standard high definition white light colonoscopy (SHDWLC) versus screening SHDWLC without AI.
Time Frame: through study completion, an average of 1 year
|
Flat versus polypoid lesion detection rate on SHDWLC AI versus SHDWLC without AI.
|
through study completion, an average of 1 year
|
|
Polyp location distribution using Ultivision AI software in subjects undergoing screening standard high definition white light colonoscopy (SHDWLC) versus screening SHDWLC without AI.
Time Frame: through study completion, an average of 1 year
|
Polyp location distribution on SHDWLC using AI versus SHDWLC without AI.
|
through study completion, an average of 1 year
|
|
Surveillance-irrelevant lesion (SIL) and surveillance-relevant lesion (SRL) detection rate using Ultivision AI software in subjects undergoing screening standard high definition white light colonoscopy (SHDWLC) versus screening SHDWLC without AI.
Time Frame: through study completion, an average of 1 year
|
Surveillance-irrelevant lesion (SIL) and surveillance-relevant lesion (SRL) detection rates using SHDWLC AI versus SHDWLC without AI.
|
through study completion, an average of 1 year
|
|
Post colonoscopy recommended surveillance follow-up interval using Ultivision AI software in subjects undergoing screening standard high definition white light colonoscopy (SHDWLC) versus screening SHDWLC without AI.
Time Frame: through study completion, an average of 1 year
|
Recommended surveillance interval after using SHDWLC AI versus SHDWLC without AI.
|
through study completion, an average of 1 year
|
|
Colonoscope withdrawal time using Ultivision AI software in subjects undergoing screening standard high definition white light colonoscopy (SHDWLC) versus screening SHDWLC without AI.
Time Frame: through study completion, an average of 1 year
|
Colonoscope withdrawal time using SHDWLC AI versus SHDWLC without AI.
|
through study completion, an average of 1 year
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Investigators
- Study Director: Efren Rael, MD, Docbot, Inc.
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Lai EJ, Calderwood AH, Doros G, Fix OK, Jacobson BC. The Boston bowel preparation scale: a valid and reliable instrument for colonoscopy-oriented research. Gastrointest Endosc. 2009 Mar;69(3 Pt 2):620-5. doi: 10.1016/j.gie.2008.05.057. Epub 2009 Jan 10.
- Corley DA, Jensen CD, Marks AR, Zhao WK, Lee JK, Doubeni CA, Zauber AG, de Boer J, Fireman BH, Schottinger JE, Quinn VP, Ghai NR, Levin TR, Quesenberry CP. Adenoma detection rate and risk of colorectal cancer and death. N Engl J Med. 2014 Apr 3;370(14):1298-306. doi: 10.1056/NEJMoa1309086.
- Kaminski MF, Regula J, Kraszewska E, Polkowski M, Wojciechowska U, Didkowska J, Zwierko M, Rupinski M, Nowacki MP, Butruk E. Quality indicators for colonoscopy and the risk of interval cancer. N Engl J Med. 2010 May 13;362(19):1795-803. doi: 10.1056/NEJMoa0907667.
- Winawer SJ, Zauber AG, Ho MN, O'Brien MJ, Gottlieb LS, Sternberg SS, Waye JD, Schapiro M, Bond JH, Panish JF, et al. Prevention of colorectal cancer by colonoscopic polypectomy. The National Polyp Study Workgroup. N Engl J Med. 1993 Dec 30;329(27):1977-81. doi: 10.1056/NEJM199312303292701.
- Rex DK, Schoenfeld PS, Cohen J, Pike IM, Adler DG, Fennerty MB, Lieb JG 2nd, Park WG, Rizk MK, Sawhney MS, Shaheen NJ, Wani S, Weinberg DS. Quality indicators for colonoscopy. Am J Gastroenterol. 2015 Jan;110(1):72-90. doi: 10.1038/ajg.2014.385. Epub 2014 Dec 2. No abstract available.
- van Rijn JC, Reitsma JB, Stoker J, Bossuyt PM, van Deventer SJ, Dekker E. Polyp miss rate determined by tandem colonoscopy: a systematic review. Am J Gastroenterol. 2006 Feb;101(2):343-50. doi: 10.1111/j.1572-0241.2006.00390.x.
- Zhao S, Wang S, Pan P, Xia T, Chang X, Yang X, Guo L, Meng Q, Yang F, Qian W, Xu Z, Wang Y, Wang Z, Gu L, Wang R, Jia F, Yao J, Li Z, Bai Y. Magnitude, Risk Factors, and Factors Associated With Adenoma Miss Rate of Tandem Colonoscopy: A Systematic Review and Meta-analysis. Gastroenterology. 2019 May;156(6):1661-1674.e11. doi: 10.1053/j.gastro.2019.01.260. Epub 2019 Feb 6.
- Kaminski MF, Hassan C, Bisschops R, Pohl J, Pellise M, Dekker E, Ignjatovic-Wilson A, Hoffman A, Longcroft-Wheaton G, Heresbach D, Dumonceau JM, East JE. Advanced imaging for detection and differentiation of colorectal neoplasia: European Society of Gastrointestinal Endoscopy (ESGE) Guideline. Endoscopy. 2014 May;46(5):435-49. doi: 10.1055/s-0034-1365348. Epub 2014 Mar 17.
- le Clercq CM, Bouwens MW, Rondagh EJ, Bakker CM, Keulen ET, de Ridder RJ, Winkens B, Masclee AA, Sanduleanu S. Postcolonoscopy colorectal cancers are preventable: a population-based study. Gut. 2014 Jun;63(6):957-63. doi: 10.1136/gutjnl-2013-304880. Epub 2013 Jun 6.
- Baxter NN, Goldwasser MA, Paszat LF, Saskin R, Urbach DR, Rabeneck L. Association of colonoscopy and death from colorectal cancer. Ann Intern Med. 2009 Jan 6;150(1):1-8. doi: 10.7326/0003-4819-150-1-200901060-00306. Epub 2008 Dec 15.
- Brenner H, Chang-Claude J, Seiler CM, Rickert A, Hoffmeister M. Protection from colorectal cancer after colonoscopy: a population-based, case-control study. Ann Intern Med. 2011 Jan 4;154(1):22-30. doi: 10.7326/0003-4819-154-1-201101040-00004.
- Zauber AG, Winawer SJ, O'Brien MJ, Lansdorp-Vogelaar I, van Ballegooijen M, Hankey BF, Shi W, Bond JH, Schapiro M, Panish JF, Stewart ET, Waye JD. Colonoscopic polypectomy and long-term prevention of colorectal-cancer deaths. N Engl J Med. 2012 Feb 23;366(8):687-96. doi: 10.1056/NEJMoa1100370.
- Hwang IK, Shih WJ, De Cani JS. Group sequential designs using a family of type I error probability spending functions. Stat Med. 1990 Dec;9(12):1439-45. doi: 10.1002/sim.4780091207.
- Shergill AK, Conners EE, McQuaid KR, Epstein S, Ryan JC, Shah JN, Inadomi J, Somsouk M. Protective association of colonoscopy against proximal and distal colon cancer and patterns in interval cancer. Gastrointest Endosc. 2015 Sep;82(3):529-37.e1. doi: 10.1016/j.gie.2015.01.053. Epub 2015 May 1.
- Brenner H, Chang-Claude J, Rickert A, Seiler CM, Hoffmeister M. Risk of colorectal cancer after detection and removal of adenomas at colonoscopy: population-based case-control study. J Clin Oncol. 2012 Aug 20;30(24):2969-76. doi: 10.1200/JCO.2011.41.3377. Epub 2012 Jul 23.
- Singh H, Nugent Z, Demers AA, Kliewer EV, Mahmud SM, Bernstein CN. The reduction in colorectal cancer mortality after colonoscopy varies by site of the cancer. Gastroenterology. 2010 Oct;139(4):1128-37. doi: 10.1053/j.gastro.2010.06.052. Epub 2010 Jun 20.
- Coe SG, Wallace MB. Assessment of adenoma detection rate benchmarks in women versus men. Gastrointest Endosc. 2013 Apr;77(4):631-5. doi: 10.1016/j.gie.2012.12.001. Epub 2013 Feb 1.
- Adler J, Robertson DJ. Interval Colorectal Cancer After Colonoscopy: Exploring Explanations and Solutions. Am J Gastroenterol. 2015 Dec;110(12):1657-64; quiz 1665. doi: 10.1038/ajg.2015.365. Epub 2015 Nov 10.
- Ahn SB, Han DS, Bae JH, Byun TJ, Kim JP, Eun CS. The Miss Rate for Colorectal Adenoma Determined by Quality-Adjusted, Back-to-Back Colonoscopies. Gut Liver. 2012 Jan;6(1):64-70. doi: 10.5009/gnl.2012.6.1.64. Epub 2012 Jan 12.
- Rex DK. Maximizing detection of adenomas and cancers during colonoscopy. Am J Gastroenterol. 2006 Dec;101(12):2866-77. doi: 10.1111/j.1572-0241.2006.00905.x.
- Aslanian HR, Shieh FK, Chan FW, Ciarleglio MM, Deng Y, Rogart JN, Jamidar PA, Siddiqui UD. Nurse observation during colonoscopy increases polyp detection: a randomized prospective study. Am J Gastroenterol. 2013 Feb;108(2):166-72. doi: 10.1038/ajg.2012.237.
- Lee CK, Park DI, Lee SH, Hwangbo Y, Eun CS, Han DS, Cha JM, Lee BI, Shin JE. Participation by experienced endoscopy nurses increases the detection rate of colon polyps during a screening colonoscopy: a multicenter, prospective, randomized study. Gastrointest Endosc. 2011 Nov;74(5):1094-102. doi: 10.1016/j.gie.2011.06.033. Epub 2011 Sep 1.
- Buchner AM, Shahid MW, Heckman MG, Diehl NN, McNeil RB, Cleveland P, Gill KR, Schore A, Ghabril M, Raimondo M, Gross SA, Wallace MB. Trainee participation is associated with increased small adenoma detection. Gastrointest Endosc. 2011 Jun;73(6):1223-31. doi: 10.1016/j.gie.2011.01.060. Epub 2011 Apr 8.
- Gralnek IM. Emerging technological advancements in colonoscopy: Third Eye(R) Retroscope(R) and Third Eye(R) Panoramic(TM) , Fuse(R) Full Spectrum Endoscopy(R) colonoscopy platform, Extra-Wide-Angle-View colonoscope, and NaviAid(TM) G-EYE(TM) balloon colonoscope. Dig Endosc. 2015 Jan;27(2):223-31. doi: 10.1111/den.12382. Epub 2014 Nov 17.
- Bisschops R, East JE, Hassan C, Hazewinkel Y, Kaminski MF, Neumann H, Pellise M, Antonelli G, Bustamante Balen M, Coron E, Cortas G, Iacucci M, Yuichi M, Longcroft-Wheaton G, Mouzyka S, Pilonis N, Puig I, van Hooft JE, Dekker E. Advanced imaging for detection and differentiation of colorectal neoplasia: European Society of Gastrointestinal Endoscopy (ESGE) Guideline - Update 2019. Endoscopy. 2019 Dec;51(12):1155-1179. doi: 10.1055/a-1031-7657. Epub 2019 Nov 11. Erratum In: Endoscopy. 2019 Dec;51(12):C6.
- Parekh PJ, Oldfield EC 4th, Johnson DA. Bowel preparation for colonoscopy: what is best and necessary for quality? Curr Opin Gastroenterol. 2019 Jan;35(1):51-57. doi: 10.1097/MOG.0000000000000494.
- Mori Y, Kudo SE, Misawa M, Saito Y, Ikematsu H, Hotta K, Ohtsuka K, Urushibara F, Kataoka S, Ogawa Y, Maeda Y, Takeda K, Nakamura H, Ichimasa K, Kudo T, Hayashi T, Wakamura K, Ishida F, Inoue H, Itoh H, Oda M, Mori K. Real-Time Use of Artificial Intelligence in Identification of Diminutive Polyps During Colonoscopy: A Prospective Study. Ann Intern Med. 2018 Sep 18;169(6):357-366. doi: 10.7326/M18-0249. Epub 2018 Aug 14.
- Misawa M, Kudo SE, Mori Y, Cho T, Kataoka S, Yamauchi A, Ogawa Y, Maeda Y, Takeda K, Ichimasa K, Nakamura H, Yagawa Y, Toyoshima N, Ogata N, Kudo T, Hisayuki T, Hayashi T, Wakamura K, Baba T, Ishida F, Itoh H, Roth H, Oda M, Mori K. Artificial Intelligence-Assisted Polyp Detection for Colonoscopy: Initial Experience. Gastroenterology. 2018 Jun;154(8):2027-2029.e3. doi: 10.1053/j.gastro.2018.04.003. Epub 2018 Apr 11. No abstract available.
- Delavari A, Salimzadeh H, Bishehsari F, Sobh Rakhshankhah E, Delavari F, Moossavi S, Khosravi P, Nasseri-Moghaddam S, Merat S, Ansari R, Vahedi H, Shahbazkhani B, Saberifiroozi M, Sotoudeh M, Malekzadeh R. Mean Polyp per Patient Is an Accurate and Readily Obtainable Surrogate for Adenoma Detection Rate: Results from an Opportunistic Screening Colonoscopy Program. Middle East J Dig Dis. 2015 Oct;7(4):214-9.
- Wang P, Berzin TM, Glissen Brown JR, Bharadwaj S, Becq A, Xiao X, Liu P, Li L, Song Y, Zhang D, Li Y, Xu G, Tu M, Liu X. Real-time automatic detection system increases colonoscopic polyp and adenoma detection rates: a prospective randomised controlled study. Gut. 2019 Oct;68(10):1813-1819. doi: 10.1136/gutjnl-2018-317500. Epub 2019 Feb 27.
- Lauby-Secretan B, Vilahur N, Bianchini F, Guha N, Straif K; International Agency for Research on Cancer Handbook Working Group. The IARC Perspective on Colorectal Cancer Screening. N Engl J Med. 2018 May 3;378(18):1734-1740. doi: 10.1056/NEJMsr1714643. Epub 2018 Mar 26. No abstract available.
- Rutter CM, Johnson E, Miglioretti DL, Mandelson MT, Inadomi J, Buist DS. Adverse events after screening and follow-up colonoscopy. Cancer Causes Control. 2012 Feb;23(2):289-96. doi: 10.1007/s10552-011-9878-5. Epub 2011 Nov 22.
- Levin TR, Zhao W, Conell C, Seeff LC, Manninen DL, Shapiro JA, Schulman J. Complications of colonoscopy in an integrated health care delivery system. Ann Intern Med. 2006 Dec 19;145(12):880-6. doi: 10.7326/0003-4819-145-12-200612190-00004.
- Feagins LA, Smith AD, Kim D, Halai A, Duttala S, Chebaa B, Lunsford T, Vizuete J, Mara M, Mascarenhas R, Meghani R, Kundrotas L, Dunbar KB, Cipher DJ, Harford WV, Spechler SJ. Efficacy of Prophylactic Hemoclips in Prevention of Delayed Post-Polypectomy Bleeding in Patients With Large Colonic Polyps. Gastroenterology. 2019 Oct;157(4):967-976.e1. doi: 10.1053/j.gastro.2019.05.003. Epub 2019 May 31.
- Sorbi D, Norton I, Conio M, Balm R, Zinsmeister A, Gostout CJ. Postpolypectomy lower GI bleeding: descriptive analysis. Gastrointest Endosc. 2000 Jun;51(6):690-6. doi: 10.1067/mge.2000.105773.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
June 11, 2020
Primary Completion (Anticipated)
November 1, 2021
Study Completion (Anticipated)
December 1, 2021
Study Registration Dates
First Submitted
December 9, 2019
First Submitted That Met QC Criteria
December 10, 2019
First Posted (Actual)
December 12, 2019
Study Record Updates
Last Update Posted (Actual)
March 19, 2021
Last Update Submitted That Met QC Criteria
March 17, 2021
Last Verified
March 1, 2021
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- Docbot AIDA: Ultivision_002
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
No
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
Yes
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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