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CompletedNCT06635941

Predictive Model Identifies Painful Sedation-free Colonoscopy

A Predictive Model Identifies Patients Likely To Be Painful During Sedation-free Colonoscopy.

Status
Completed
Phase
Study type
Observational
Enrollment
679 (actual)
Sponsor
Ningbo No. 1 Hospital · Academic / Other
Sex
All
Age
18 Years – 80 Years
Healthy volunteers

Summary

Colorectal cancer is one of the most common cancers globally and a leading cause of cancer-related death. Colonoscopy is the standard screening method for colorectal cancer, significantly reducing mortality rates. However, the pain experienced during the procedure is one of the main reasons people avoid getting a colonoscopy. If operators can identify patients who are more likely to feel pain before the procedure, operators can take steps to reduce their discomfort. Previous research has developed a model to predict discomfort during colonoscopy, but this model have some limitations in clinical use. Therefore, investigators plan to develop a new model that also predicts the likelihood of painful colonoscopies. This study aims to identify factors related to pain in non-sedated colonoscopy and create a more accurate prediction model to help reduce pain during the procedure. A total of 679 patients will be divided into two groups randomly for training and validation. Participants meet the inclusion criteria for this study, and investigators will ask participants to participate voluntarily. If participants agree, investigators will collect some of participants basic information and medical history, and assess participants' pain during the procedure. Participants will only need to follow the doctors' instructions, complete bowel investigators' preparation, and undergo the colonoscopy as usual. The data collection will not interfere with participants' regular care

Conditions

Timeline

Start date
2024-10-10
Primary completion
2025-09-21
Completion
2025-09-21
First posted
2024-10-10
Last updated
2025-11-24

Locations

1 site across 1 country: China

Source: ClinicalTrials.gov record NCT06635941. Inclusion in this directory is not an endorsement.