Colonoscopy, External Validation, Predictive Model
Conditions
Brief summary
In order to obtain the risk level of patients with intestinal insufficiency through simple indicators, many foreign scholars have studied and developed their own prediction models. However, the current guideline indicates that there is insufficient evidence to recommend the use of a specialized predictive model for clinical practice.There are few studies on external validation of existing prediction models.
Interventions
no intervention
Sponsors
Study design
Eligibility
Inclusion criteria
* patients undergoing colonoscopy. * patients older than 18 years.
Exclusion criteria
* Emergency colonoscopy. * Have a serious medical condition, such as heart failure, acute liver failure, severe kidney disease (dialysis or predialysis patients) or New York heart association class iii-iv. * Pregnant or breastfeeding. * No bowel preparation or poor compliance (no bowel preparation as instructed or laxatives \< 90% of prescribed dose). * Refuse to sign informed consent. * The patient was rescheduled after the previous colonoscopy due to insufficient bowel preparation. * Temporarily change to colonoscopy for other reasons. * Incomplete colonoscopy due to insufficient parenteral preparation. * Lack of complete data.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| discrimination | cross-sectional analyses in 2020 | Compare the area under the curve (AUC) between predictive models and acutal bowel preparation. |
Countries
China