Colorectal PolypNCPCNCT03712059
National Colorectal Polyp Care
An observational study of Colorectal Polyp, run by Changhai Hospital at 1 site in China.
Trial summary
This study has three main purposes：screening: the first purpose is to evaluate the diagnostic value of combintion of the life risk factors and immunochemical fecal occult blood test (FIT) on detection of colorectal neoplasia in Chinese population; resection: the second objective is to investigate the complete… Read more about this study
- Who is it for?
- Ages 18 to 75 years
- Conditions the study is for
- Colorectal Polyp
- What is being tested?
- FIT test and colonoscopy, Polypectomy and biopsy and Classification
- How many people
- 12,000 participants
- Where
- 1 siteChina
- Study dates
- 1 Nov 2018to 30 Sep 2020
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 75 years
- All sexes
- No healthy volunteers
- Adult, Older adult
Study population: Patients who referred to the outpatient and received colonoscopy.
Who may be able to join
- Age between 18 to 75 years old and patients with or without alarming gastrointestinal symptoms were analyzed separately.
- 3-4 L polyethylene glycol and foaming agent are used for bowel preparation.
- Withdrawal time ≥6mins (excluding the time of biopsy)
Who cannot join
- A history of acute myocardial infarction (within 6 months), severe heart, liver, kidney dysfunction, or mental illness.
- Patients taking anticoagulants such as aspirin and warfarin, or who have coagulopathy.
- Patients with inflammatory bowel disease and colon polyposis.
- History of colonic procedure (including surgery, polypectomy, EMR, and ESD) in the screening section
- Diameter of polyp greater than 1cm, lateral developmental lesions (LST), colon cancer, lesions requiring ESD and surgery
- Patients participating in other clinical trials now or within 60 days.
- Intestinal obstruction.
Trial locations and contacts
1 site in 1 country.
China1 site
Changhai Hospital, Second Military Medical University
Shanghai, 200433
About this study
Official title: National Colorectal Polyp Care for Diagnosis, Classification and Resection
This study has three main purposes：screening: the first purpose is to evaluate the diagnostic value of combintion of the life risk factors and immunochemical fecal occult blood test (FIT) on detection of colorectal neoplasia in Chinese population; resection: the second objective is to investigate the complete resection rate of colorectal adenoma and risk factors of incomplete resection in China; identification and classification: the third objective is to initially establish an artificial intelegence-assissted recognition and classification system of polyp based on deep learning.
Read the detailed description
This study is a multi-center cross-sectional survey and diagnostic test led by the National Clinical Research Center for Digestive Disease (Shanghai) (Department of Gastroenterology, Changhai Hospital, Naval Medical University), which is conducted at about 175 digestive endoscopy centers nationwide in China, with the expectation of including 12,000 patients (10,000 screenig and 2,000 adenoma resection). The basic characteristics of patients, bowel preparation method and quality, and related information of colonoscopy are recorded in detail. According to the research purpose, the whole project can be divided into three sections.
- Screening section: All patients receive FIT test and colonoscopy, whose age, sex, family history, smoking history, body mass index (BMI), diabetes and other risk factors are collected by researchers through pad, equipped with a specially designed database and app. Using colonoscopy results as the gold standard, the risk prediction model for the Chinese population is explored, and the optimal strategy of colonoscopy practice for the Chinese established initially.
- Resection section: During the polypectomy, for all pathologically confirmed or NBI-predicted adenomas with size<10mm, 1-2 biopsies were randomly performed on the edge after resection to determine the completion rate of the polypectomy.
- Identification and classification section: For Patients regardless of cancer diagnosis or polypectomy, if there is polyp, observation of narrow band imaging (NBI) with or without magnification is required, with 4 white light and NBI images collected and reserved, respectively. If there is magnifying endoscopy, another 4 endoscopic images of magnification are also required. Endoscopists are invited to predict the pathology of polyps according to the NBI International Colorectal Endoscopic (NICE) classification principle and endoscopic images, and upload the pathological results and endoscopic images within 2-4 week after colonoscopy.
- Conditions
- Colorectal Polyp
- Being tested
- FIT test and colonoscopy, Polypectomy and biopsy, Classification
- Keywords
- Colorectal neoplasia, Polypectomy, Artificial intelligence
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
FIT test and colonoscopyDiagnostic test
All included patients received FIT test and then colonoscopy, with the risk factors of CRC recorded. The diagnostic performance of predicting model (based on FIT and risk factors) and colonoscopy were compared.
Polypectomy and biopsyDiagnostic test
All included patients received polypectomy, and then biopsy is performed on the edge of resection for patients with < 10 mm adenoma (confirmed by pathology or predicted by NBI images), with the complete resection rate of polyps being calculated.
ClassificationDiagnostic test
Pathology of polyps is classified by endoscopists through NICE principle and the performance of classification between endoscopists and computer is compared.
| Study group | Role | What they receive |
|---|---|---|
| Screening group | All patients receive FIT test and colonoscopy, whose age, sex, family history, smoking history, body mass index (BMI), diabetes and other risk factors are collected by researchers through pad, equipped with a specially designed database and app. Using colonoscopy results as the gold standard, the diagnostic value of risk prediction model for the Chinese population is explored, and the optimal strategy of colonoscopy practice for the Chinese established initially. Receives: Diagnostic Test: FIT test and colonoscopy | |
| Adenoma resection group | During the polypectomy of 2000 patients, for all pathologically confirmed or NBI-predicted adenomas with size<10mm, 1-2 biopsies were randomly performed on the edge after resection to determine the completion rate of the polypectomy. Receives: Diagnostic Test: Polypectomy and biopsy | |
| Identification and classification group | For 12000 patients regardless of cancer diagnosis or polypectomy, if there is polyp, NBI (magnification) observation is required, with 4 white light and NBI images collected and reserved, respectively. If there is magnifying endoscopy, another 4 endoscopic images of magnification are also required. Endoscopists are invited to predict the pathology of polyps according to the NICE classification principle and endoscopic images, and upload the pathological results and endoscopic images within 2-4 week after colonoscopy. Receives: Diagnostic Test: FIT test and colonoscopy; Diagnostic Test: Polypectomy and biopsy; Diagnostic Test: Classification |
What is being measured
The primary outcome is the main question the study is designed to answer.
Detection of colorectal neoplasia
Colorectal neoplasia included CRCs, adenomas, sessile serrated adenomas/polyps, traditional serrated adenomas/polyps, and hyperplastic polyps ≥10 mm, which were recommended to have a shorter surveillance interval after polypectomy
Measured: 24 hours
Secondary outcomes (2)
Complete resection rate of polypectomy
Measured: 24 hours
Specificity and sensitivity of endoscopists and artificial intelligence-assisted system in classifying polyps
Measured: 24 hours
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted19 Oct 2018
- Study start1 Nov 2018
- Primary completion30 Aug 2020
- Study completion30 Sep 2020
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (15)Papers the sponsor has linked to this study.
- Other trials for Colorectal PolypStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 12,000 participants (actual)
Sponsor and investigators
- Lead sponsor
- Changhai Hospital
- Sponsor type
- University, hospital or other
- Collaborators
- 175 medical centers in China
- Responsible party
- Principal investigator, Zhaoshen Li, Changhai Hospital
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT03712059
- Sponsor's protocol ID
- NCPC
- Acronym
- NCPC
- Status last verified
- Dec 2021
- First submitted
- 17 Oct 2018
- Last updated
- 4 Jan 2022
- Results posted
- No
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided
Publications
Yeoh KG, Ho KY, Chiu HM, Zhu F, Ching JY, Wu DC, Matsuda T, Byeon JS, Lee SK, Goh KL, Sollano J, Rerknimitr R, Leong R, Tsoi K, Lin JT, Sung JJ; Asia-Pacific Working Group on Colorectal Cancer. The Asia-Pacific Colorectal Screening score: a validated tool that stratifies risk for colorectal advanced neoplasia in asymptomatic Asian subjects. Gut. 2011 Sep;60(9):1236-41. doi: 10.1136/gut.2010.221168. Epub 2011 Mar 14.
PubMed 21402615Wong MC, Lam TY, Tsoi KK, Hirai HW, Chan VC, Ching JY, Chan FK, Sung JJ. A validated tool to predict colorectal neoplasia and inform screening choice for asymptomatic subjects. Gut. 2014 Jul;63(7):1130-6. doi: 10.1136/gutjnl-2013-305639. Epub 2013 Sep 17.
PubMed 24045331Sung JJ, Ng SC, Chan FK, Chiu HM, Kim HS, Matsuda T, Ng SS, Lau JY, Zheng S, Adler S, Reddy N, Yeoh KG, Tsoi KK, Ching JY, Kuipers EJ, Rabeneck L, Young GP, Steele RJ, Lieberman D, Goh KL; Asia Pacific Working Group. An updated Asia Pacific Consensus Recommendations on colorectal cancer screening. Gut. 2015 Jan;64(1):121-32. doi: 10.1136/gutjnl-2013-306503. Epub 2014 Mar 19.
PubMed 24647008Chiu HM, Ching JY, Wu KC, Rerknimitr R, Li J, Wu DC, Goh KL, Matsuda T, Kim HS, Leong R, Yeoh KG, Chong VH, Sollano JD, Ahmed F, Menon J, Sung JJ; Asia-Pacific Working Group on Colorectal Cancer. A Risk-Scoring System Combined With a Fecal Immunochemical Test Is Effective in Screening High-Risk Subjects for Early Colonoscopy to Detect Advanced Colorectal Neoplasms. Gastroenterology. 2016 Mar;150(3):617-625.e3. doi: 10.1053/j.gastro.2015.11.042. Epub 2015 Nov 25.
PubMed 26627608Pohl H. Polyp resection - lessons learned. Endoscopy. 2013 Dec;45(12):1030-1. doi: 10.1055/s-0033-1358830. Epub 2013 Nov 28. No abstract available.
PubMed 24288223Pohl H, Srivastava A, Bensen SP, Anderson P, Rothstein RI, Gordon SR, Levy LC, Toor A, Mackenzie TA, Rosch T, Robertson DJ. Incomplete polyp resection during colonoscopy-results of the complete adenoma resection (CARE) study. Gastroenterology. 2013 Jan;144(1):74-80.e1. doi: 10.1053/j.gastro.2012.09.043. Epub 2012 Sep 25.
PubMed 23022496Gupta N, Bansal A, Rao D, Early DS, Jonnalagadda S, Wani SB, Edmundowicz SA, Sharma P, Rastogi A. Prevalence of advanced histological features in diminutive and small colon polyps. Gastrointest Endosc. 2012 May;75(5):1022-30. doi: 10.1016/j.gie.2012.01.020. Epub 2012 Mar 9.
PubMed 22405698Hassan C, Pickhardt PJ, Kim DH, Di Giulio E, Zullo A, Laghi A, Repici A, Iafrate F, Osborn J, Annibale B. Systematic review: distribution of advanced neoplasia according to polyp size at screening colonoscopy. Aliment Pharmacol Ther. 2010 Jan 15;31(2):210-7. doi: 10.1111/j.1365-2036.2009.04160.x. Epub 2009 Oct 8.
PubMed 19814745Hassan C, Pickhardt PJ, Rex DK. A resect and discard strategy would improve cost-effectiveness of colorectal cancer screening. Clin Gastroenterol Hepatol. 2010 Oct;8(10):865-9, 869.e1-3. doi: 10.1016/j.cgh.2010.05.018. Epub 2010 Jun 1.
PubMed 20621680McGill SK, Evangelou E, Ioannidis JP, Soetikno RM, Kaltenbach T. Narrow band imaging to differentiate neoplastic and non-neoplastic colorectal polyps in real time: a meta-analysis of diagnostic operating characteristics. Gut. 2013 Dec;62(12):1704-13. doi: 10.1136/gutjnl-2012-303965. Epub 2013 Jan 7.
PubMed 23300139Hewett DG, Kaltenbach T, Sano Y, Tanaka S, Saunders BP, Ponchon T, Soetikno R, Rex DK. Validation of a simple classification system for endoscopic diagnosis of small colorectal polyps using narrow-band imaging. Gastroenterology. 2012 Sep;143(3):599-607.e1. doi: 10.1053/j.gastro.2012.05.006. Epub 2012 May 15.
PubMed 22609383Rees CJ, Rajasekhar PT, Wilson A, Close H, Rutter MD, Saunders BP, East JE, Maier R, Moorghen M, Muhammad U, Hancock H, Jayaprakash A, MacDonald C, Ramadas A, Dhar A, Mason JM. Narrow band imaging optical diagnosis of small colorectal polyps in routine clinical practice: the Detect Inspect Characterise Resect and Discard 2 (DISCARD 2) study. Gut. 2017 May;66(5):887-895. doi: 10.1136/gutjnl-2015-310584. Epub 2016 Apr 19.
PubMed 27196576Esteva A, Kuprel B, Novoa RA, Ko J, Swetter SM, Blau HM, Thrun S. Dermatologist-level classification of skin cancer with deep neural networks. Nature. 2017 Feb 2;542(7639):115-118. doi: 10.1038/nature21056. Epub 2017 Jan 25.
PubMed 28117445Gulshan V, Peng L, Coram M, Stumpe MC, Wu D, Narayanaswamy A, Venugopalan S, Widner K, Madams T, Cuadros J, Kim R, Raman R, Nelson PC, Mega JL, Webster DR. Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs. JAMA. 2016 Dec 13;316(22):2402-2410. doi: 10.1001/jama.2016.17216.
PubMed 27898976Hayashi N, Tanaka S, Hewett DG, Kaltenbach TR, Sano Y, Ponchon T, Saunders BP, Rex DK, Soetikno RM. Endoscopic prediction of deep submucosal invasive carcinoma: validation of the narrow-band imaging international colorectal endoscopic (NICE) classification. Gastrointest Endosc. 2013 Oct;78(4):625-32. doi: 10.1016/j.gie.2013.04.185. Epub 2013 Jul 30.
PubMed 23910062
Study at a glance
From the registry record, last updated by the sponsor on 4 Jan 2022. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- National Colorectal Polyp Care for Diagnosis, Classification and Resection
- ClinicalTrials.gov ID
- NCT03712059
- Acronym / sponsor ID
- NCPC / NCPC
- Conditions
- Colorectal Polyp
- Keywords
- Colorectal neoplasia, Polypectomy, Artificial intelligence
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 12,000 participants (actual)
- Lead sponsor
- Changhai HospitalUniversity, hospital or other
- Collaborators
- 175 medical centers in China
- Study start
- 1 Nov 2018 (actual)
- Primary completion
- 30 Aug 2020 (actual)
- Study completion
- 30 Sep 2020 (actual)
- First posted
- 19 Oct 2018 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
This study has three main purposes：screening: the first purpose is to evaluate the diagnostic value of combintion of the life risk factors and immunochemical fecal occult blood test (FIT) on detection of colorectal neoplasia in Chinese population; resection: the second objective is to investigate the complete resection rate of colorectal adenoma and risk factors of incomplete resection in China; identification and classification: the third objective is to initially establish an artificial intelegence-assissted recognition and classification system of polyp based on deep learning.
Detailed description
This study is a multi-center cross-sectional survey and diagnostic test led by the National Clinical Research Center for Digestive Disease (Shanghai) (Department of Gastroenterology, Changhai Hospital, Naval Medical University), which is conducted at about 175 digestive endoscopy centers nationwide in China, with the expectation of including 12,000 patients (10,000 screenig and 2,000 adenoma resection). The basic characteristics of patients, bowel preparation method and quality, and related information of colonoscopy are recorded in detail. According to the research purpose, the whole project can be divided into three sections.
- Screening section: All patients receive FIT test and colonoscopy, whose age, sex, family history, smoking history, body mass index (BMI), diabetes and other risk factors are collected by researchers through pad, equipped with a specially designed database and app. Using colonoscopy results as the gold standard, the risk prediction model for the Chinese population is explored, and the optimal strategy of colonoscopy practice for the Chinese established initially.
- Resection section: During the polypectomy, for all pathologically confirmed or NBI-predicted adenomas with size<10mm, 1-2 biopsies were randomly performed on the edge after resection to determine the completion rate of the polypectomy.
- Identification and classification section: For Patients regardless of cancer diagnosis or polypectomy, if there is polyp, observation of narrow band imaging (NBI) with or without magnification is required, with 4 white light and NBI images collected and reserved, respectively. If there is magnifying endoscopy, another 4 endoscopic images of magnification are also required. Endoscopists are invited to predict the pathology of polyps according to the NBI International Colorectal Endoscopic (NICE) classification principle and endoscopic images, and upload the pathological results and endoscopic images within 2-4 week after colonoscopy.
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
- Number of arms
- 3
| Arm | Type | Receives |
|---|---|---|
| Screening group | – | Diagnostic Test: FIT test and colonoscopyAll patients receive FIT test and colonoscopy, whose age, sex, family history, smoking history, body mass index (BMI), diabetes and other risk factors are collected by researchers through pad, equipped with a specially designed database and app. Using colonoscopy results as the gold standard, the diagnostic value of risk prediction model for the Chinese population is explored, and the optimal strategy of colonoscopy practice for the Chinese established initially. |
| Adenoma resection group | – | Diagnostic Test: Polypectomy and biopsyDuring the polypectomy of 2000 patients, for all pathologically confirmed or NBI-predicted adenomas with size<10mm, 1-2 biopsies were randomly performed on the edge after resection to determine the completion rate of the polypectomy. |
| Identification and classification group | – | Diagnostic Test: FIT test and colonoscopy, Diagnostic Test: Polypectomy and biopsy, Diagnostic Test: ClassificationFor 12000 patients regardless of cancer diagnosis or polypectomy, if there is polyp, NBI (magnification) observation is required, with 4 white light and NBI images collected and reserved, respectively. If there is magnifying endoscopy, another 4 endoscopic images of magnification are also required. Endoscopists are invited to predict the pathology of polyps according to the NICE classification principle and endoscopic images, and upload the pathological results and endoscopic images within 2-4 week after colonoscopy. |
Who may qualify
- Ages
- 18 to 75 years
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
- Study population
- Patients who referred to the outpatient and received colonoscopy.
Key inclusion criteria (3 listed)
- Age between 18 to 75 years old and patients with or without alarming gastrointestinal symptoms were analyzed separately.
- 3-4 L polyethylene glycol and foaming agent are used for bowel preparation.
- Withdrawal time ≥6mins (excluding the time of biopsy)
Key exclusion criteria (7 listed)
- A history of acute myocardial infarction (within 6 months), severe heart, liver, kidney dysfunction, or mental illness.
- Patients taking anticoagulants such as aspirin and warfarin, or who have coagulopathy.
- Patients with inflammatory bowel disease and colon polyposis.
- History of colonic procedure (including surgery, polypectomy, EMR, and ESD) in the screening section
- Diameter of polyp greater than 1cm, lateral developmental lesions (LST), colon cancer, lesions requiring ESD and surgery
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| FIT test and colonoscopyAll included patients received FIT test and then colonoscopy, with the risk factors of CRC recorded. The diagnostic performance of predicting model (based on FIT and risk factors) and colonoscopy were compared. | Diagnostic test | Identification and classification group, Screening group |
| Polypectomy and biopsyAll included patients received polypectomy, and then biopsy is performed on the edge of resection for patients with < 10 mm adenoma (confirmed by pathology or predicted by NBI images), with the complete resection rate of polyps being calculated. | Diagnostic test | Adenoma resection group, Identification and classification group |
| ClassificationPathology of polyps is classified by endoscopists through NICE principle and the performance of classification between endoscopists and computer is compared. | Diagnostic test | Identification and classification group |
Primary outcome
Detection of colorectal neoplasia
Time frame: 24 hours
Colorectal neoplasia included CRCs, adenomas, sessile serrated adenomas/polyps, traditional serrated adenomas/polyps, and hyperplastic polyps ≥10 mm, which were recommended to have a shorter surveillance interval after polypectomy
2 secondary outcomes
Complete resection rate of polypectomy
Time frame: 24 hours
Specificity and sensitivity of endoscopists and artificial intelligence-assisted system in classifying polyps
Time frame: 24 hours
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 4 Jan 2022.
- Background: PubMed 21402615Yeoh KG, Ho KY, Chiu HM, Zhu F, Ching JY, Wu DC, Matsuda T, Byeon JS, Lee SK, Goh KL, Sollano J, Rerknimitr R, Leong R, Tsoi K, Lin JT, Sung JJ; Asia-Pacific Working Group on Colorectal Cancer. The Asia-Pacific Colorectal Screening score: a validated tool that stratifies risk for colorectal advanced neoplasia in asymptomatic Asian subjects. Gut. 2011 Sep;60(9):1236-41. doi: 10.1136/gut.2010.221168. Epub 2011 Mar 14.
- Background: PubMed 24045331Wong MC, Lam TY, Tsoi KK, Hirai HW, Chan VC, Ching JY, Chan FK, Sung JJ. A validated tool to predict colorectal neoplasia and inform screening choice for asymptomatic subjects. Gut. 2014 Jul;63(7):1130-6. doi: 10.1136/gutjnl-2013-305639. Epub 2013 Sep 17.
- Background: PubMed 24647008Sung JJ, Ng SC, Chan FK, Chiu HM, Kim HS, Matsuda T, Ng SS, Lau JY, Zheng S, Adler S, Reddy N, Yeoh KG, Tsoi KK, Ching JY, Kuipers EJ, Rabeneck L, Young GP, Steele RJ, Lieberman D, Goh KL; Asia Pacific Working Group. An updated Asia Pacific Consensus Recommendations on colorectal cancer screening. Gut. 2015 Jan;64(1):121-32. doi: 10.1136/gutjnl-2013-306503. Epub 2014 Mar 19.
- Background: PubMed 26627608Chiu HM, Ching JY, Wu KC, Rerknimitr R, Li J, Wu DC, Goh KL, Matsuda T, Kim HS, Leong R, Yeoh KG, Chong VH, Sollano JD, Ahmed F, Menon J, Sung JJ; Asia-Pacific Working Group on Colorectal Cancer. A Risk-Scoring System Combined With a Fecal Immunochemical Test Is Effective in Screening High-Risk Subjects for Early Colonoscopy to Detect Advanced Colorectal Neoplasms. Gastroenterology. 2016 Mar;150(3):617-625.e3. doi: 10.1053/j.gastro.2015.11.042. Epub 2015 Nov 25.
- Background: PubMed 24288223Pohl H. Polyp resection - lessons learned. Endoscopy. 2013 Dec;45(12):1030-1. doi: 10.1055/s-0033-1358830. Epub 2013 Nov 28. No abstract available.
- Background: PubMed 23022496Pohl H, Srivastava A, Bensen SP, Anderson P, Rothstein RI, Gordon SR, Levy LC, Toor A, Mackenzie TA, Rosch T, Robertson DJ. Incomplete polyp resection during colonoscopy-results of the complete adenoma resection (CARE) study. Gastroenterology. 2013 Jan;144(1):74-80.e1. doi: 10.1053/j.gastro.2012.09.043. Epub 2012 Sep 25.
- Background: PubMed 22405698Gupta N, Bansal A, Rao D, Early DS, Jonnalagadda S, Wani SB, Edmundowicz SA, Sharma P, Rastogi A. Prevalence of advanced histological features in diminutive and small colon polyps. Gastrointest Endosc. 2012 May;75(5):1022-30. doi: 10.1016/j.gie.2012.01.020. Epub 2012 Mar 9.
- Background: PubMed 19814745Hassan C, Pickhardt PJ, Kim DH, Di Giulio E, Zullo A, Laghi A, Repici A, Iafrate F, Osborn J, Annibale B. Systematic review: distribution of advanced neoplasia according to polyp size at screening colonoscopy. Aliment Pharmacol Ther. 2010 Jan 15;31(2):210-7. doi: 10.1111/j.1365-2036.2009.04160.x. Epub 2009 Oct 8.
- Background: PubMed 20621680Hassan C, Pickhardt PJ, Rex DK. A resect and discard strategy would improve cost-effectiveness of colorectal cancer screening. Clin Gastroenterol Hepatol. 2010 Oct;8(10):865-9, 869.e1-3. doi: 10.1016/j.cgh.2010.05.018. Epub 2010 Jun 1.
- Background: PubMed 23300139McGill SK, Evangelou E, Ioannidis JP, Soetikno RM, Kaltenbach T. Narrow band imaging to differentiate neoplastic and non-neoplastic colorectal polyps in real time: a meta-analysis of diagnostic operating characteristics. Gut. 2013 Dec;62(12):1704-13. doi: 10.1136/gutjnl-2012-303965. Epub 2013 Jan 7.
- Background: PubMed 22609383Hewett DG, Kaltenbach T, Sano Y, Tanaka S, Saunders BP, Ponchon T, Soetikno R, Rex DK. Validation of a simple classification system for endoscopic diagnosis of small colorectal polyps using narrow-band imaging. Gastroenterology. 2012 Sep;143(3):599-607.e1. doi: 10.1053/j.gastro.2012.05.006. Epub 2012 May 15.
- Background: PubMed 27196576Rees CJ, Rajasekhar PT, Wilson A, Close H, Rutter MD, Saunders BP, East JE, Maier R, Moorghen M, Muhammad U, Hancock H, Jayaprakash A, MacDonald C, Ramadas A, Dhar A, Mason JM. Narrow band imaging optical diagnosis of small colorectal polyps in routine clinical practice: the Detect Inspect Characterise Resect and Discard 2 (DISCARD 2) study. Gut. 2017 May;66(5):887-895. doi: 10.1136/gutjnl-2015-310584. Epub 2016 Apr 19.
- Individual participant dataSharing planned: Undecided
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
The record lists no contact. Use the official record to reach the sponsor.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Colorectal Polyp, run by Changhai Hospital at 1 site in China.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 3 inclusion and 7 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 4 Jan 2022. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in China. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Detection of colorectal neoplasia (time frame: 24 hours). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT03712059, which also lists 15 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 4 Jan 2022.