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Clinical Trial Details — Status: Not yet recruiting

Administrative data

NCT number NCT04996888
Other study ID # EA-21-007
Secondary ID
Status Not yet recruiting
Phase N/A
First received
Last updated
Start date August 4, 2021
Est. completion date January 31, 2022

Study information

Verified date August 2021
Source Renmin Hospital of Wuhan University
Contact Honggang Yu, Doctor
Phone +862788041911
Email whdxrmyy@126.com
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial Summary

In this study, the investigators proposed an artificial intelligence-based preoperative automatic reminder system on colonocopy, which can improve the quality of bowel preparation and the rate of polyps and adenomas detection.


Description:

Despite advances in bowel preparation methods, bowel preparation is inadequate in up to one-third of all colonoscopies in reported series. Inadequate bowel cleansing results in negative con-sequences for the examination, including incomplete visualization of the colon, missed lesions(22-48%), procedural difficulties, prolonged procedure time and reduced time interval until follow-up, and an estimated 12-22% increase in overall colonoscopy cost. The adequacy of a bowel preparation is closely linked to patient compliance with both dietary and purge instructions. Previous work has shown that 18-23.5% of the patients with poor preparation had failed to follow preparation instructions. One study performed in Asia showed that non-compliance with bowel preparation instructions, lower education level, and a long wait for the colonoscopy appointment were independent risk factors for poor bowel preparation. A survey among doctors showed that gastroenterologists with the highest number of patients with inadequate bowel preparation believed that patients are unwilling to follow preparation instructions, struggle with the prescribed diet, and are unable to tolerate the full course of purgative. It is reasonable to hypothesis that efforts to improve education and maximize patient compliance during the preparatory period will enhance the efficacy of bowel preparation. A research has shown that telephone-based re-education about the details of bowel preparation on the day before colonoscopy significantly improved the quality of bowel preparation and polys detection rate. In recent years, artificial intelligence (AI) has been successfully applied in multiple medical fields. But there has not been an artificial-intelligence-based system which can automatically remind patients of the details of bowel preparation on the day before colonoscopy. In this study, we proposed an artificial intelligence-based preoperative automatic reminder system on colonoscopy, which can improve the quality of bowel preparation and the rate of polyps and adenomas detection.


Recruitment information / eligibility

Status Not yet recruiting
Enrollment 829
Est. completion date January 31, 2022
Est. primary completion date December 30, 2021
Accepts healthy volunteers No
Gender All
Age group 50 Years to 75 Years
Eligibility Inclusion Criteria: 1. Male or female between 50-75 years old; 2. Able to read, understand and sign informed consent 3. The investigator believes that the subjects can understand the process of the clinical study, are willing and able to complete all study procedures and follow-up visits, and cooperate with the study procedures 4. Outpatients requiring colonoscopy Exclusion Criteria: 1. colorectal surgical history 2. Severe colonic stricture or obstructive tumor 3. Obvious gastroparesis or gastric outlet obstruction or intestinal infarction 4. Pregnant or lactating women 5. Dysphagia or impaired swallowing reflex or mental state 6. Intestinal obstruction or perforation is known 7. Severe chronic renal failure(CCR< 30ml/min) 8. Severe congestive heart failure(NYHA ?or?) 9. Uncontrolled hypertension( systolic pressure>170mmHg,diastolic pressure>100mmHg) 10. Dehydration or electrolyte disorder 11. Toxic colitis or megacolon 12. Inable to give informed consent 13. Hemodynamic instability

Study Design


Related Conditions & MeSH terms


Intervention

Device:
AI based preoperative automatic reminder system
the patients in the experimental group will be sent a message and a phone call by AI system on the day before colonoscopy, which will emphasize the importance of bowel preparation, the directions for use and side effects of purgatives, the proper food type, and the start time. The system is an non-invasive AI system.

Locations

Country Name City State
China Renmin hospital of Wuhan University Wuhan Hubei

Sponsors (1)

Lead Sponsor Collaborator
Renmin Hospital of Wuhan University

Country where clinical trial is conducted

China, 

Outcome

Type Measure Description Time frame Safety issue
Other Detection rate of polyp The numerator is the number of patients diagnosed with polyp, and the denominator is the total number of patients undergoing colonoscopy. A month
Other Rate of willing to repeat intestinal preparation the numerator is the number of patients who are willing to prepare for colonoscopy again after inquiry due to timely treatment in the future or insufficient intestinal preparation, and the denominator is the number of patients who receive colonoscopy Six month
Other Instructions compliance analysis Failure to comply with intestinal preparation is defined as failure to take laxatives on time, failure to comply with dietary restrictions, and acknowledgement of failure to comply with instructions, including insufficient dosage of intestinal preparation solution, insufficient duration of completion of intestinal preparation solution, and insufficient hydration From the beginning to the end of colonoscopy
Other Attendance rate the numerator is the number of patients on time, and the denominator is the number of patients undergoing enteroscopy From the beginning to the end of colonoscopy
Primary the rate of adequate bowel preparation The numerator is the number of patients qualified for intestinal preparation, and the denominator is the number of all patients undergoing colonoscopy. The definition of intestinal preparation qualification is: e-bbps qualification is defined as colonoscopy with e-bbps = 6; BBPS is defined as enteroscopy with scores =2 for ascending colon, transverse colon and descending colon. At the same time, if one or more of the following conditions are met, intestinal preparation is considered insufficient: (1) colonoscopy with e-bbps <6 is insufficient( 2) Cancel colonoscopy due to poor intestinal preparation or personal reasons( 3) Incomplete colonoscopy. From the beginning to the end of colonoscopy
Secondary Detection rate of adenoma The numerator is the number of patients diagnosed with adenomas, and the denominator is the total number of patients undergoing colonoscopy. A month
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