Ignite Creation Date:
2024-10-26 @ 3:36 PM
Last Modification Date:
2024-10-26 @ 3:36 PM
Study NCT ID:
NCT06531226
Status:
NOT_YET_RECRUITING
Last Update Posted:
None
First Post:
2024-07-28
Brief Title:
Difficult Colonoscopy and Personality Traits
Sponsor:
None
Organization:
None
Study Overview
Official Title:
Personality Traits and Colonoscopy Insertion Time Applying Machine Learning to Predict the Colonoscopy Time and Difficult Colonoscopy
Status:
NOT_YET_RECRUITING
Status Verified Date:
2024-07
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
No
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
The cecal intubation time CIT refers to the time required for the tip of the colonoscope to reach the cecum from passing through the anus A prolonged CIT is considered a marker of difficulty in colonoscopy CIT greater than 10 minutes is considered a difficult colonoscopy Studies have identified factors that influence CIT including age gender body mass index BMI waist circumference bowel preparation prior abdominal surgery etc Personality traits have been found to be associated with the onset of many diseases such as hypertension and A-type personality depression and neurotic personality According to the Big Five personality theory personality can be decomposed into five dimensions openness O conscientiousness C extraversion E agreeableness A and neuroticism N There is a lack of research on the association between personality traits and colonoscopy insertion time and the purpose of this study is to investigate whether personality BMI age gender anxiety and depression index metabolic diseases and abdominal pelvic surgery history lead to prolonged colonoscopy insertion time and difficult colonoscopy and to identify significant variables as predictors by using machine learning methods to build a clinical diagnostic model to predict colonoscopy insertion time and identify difficult colonoscopy patients
Detailed Description:
The cecal intubation time CIT refers to the time required for the tip of the colonoscope to reach the cecum from passing through the anus A prolonged CIT is considered a marker of difficulty in colonoscopy A CIT greater than 10 minutes is considered a difficult colonoscopy A longer CIT is associated with a lower adenoma detection rate as it is an indicator of an ineffective colonoscopy while a shorter CIT will provide the endoscopist with more time for colonoscope retrieval increasing the likelihood of adenoma detection
Research has identified factors that influence CIT including age gender body mass index BMI waist circumference bowel preparation and prior abdominal surgery history
Personality traits have been found to be associated with the onset of many diseases such as hypertension and A-type personality depression and neurotic personality According to the Big Five personality theory personality can be decomposed into five dimensions openness O conscientiousness C extraversion E agreeableness A and neuroticism N The Big Five personality theory is a commonly used personality typology in scientific research and has been confirmed in numerous studies The Big Five Personality Inventory BFI is a tool for detecting the classification of the Big Five personality traits The Chinese version of the Big Five Personality Inventory and norms were jointly revised by Professor Li Jian from the Department of Psychology Beijing Normal University and the scale norms were constructed to include people of different age groups The scale has shown excellent reliability and validity
The discovery of the brain-gut axis suggests that neural activity can affect the intestinal activity in various ways directly or indirectly thereby affecting the difficulty of colonoscopy but there is still a lack of research on the relationship between personality types and difficult colonoscopy and the specific correlation has not been clarified Whats more important is that previous studies often used ordinary least squares regression OLS regression or logistic regression The purpose of this study is to investigate whether personality BMI age gender anxiety and depression index metabolic diseases and history of abdominal and pelvic surgery are associated with prolonged colonoscopy insertion time and difficult colonoscopy and to construct a clinical diagnostic model by using machine learning methods to predict colonoscopy insertion time and identify difficult colonoscopy patients based on significant variables
The basic research framework is designed as follows
Invite patients scheduled for colonoscopy to fill out the Personality Tendency and Colonoscopy Survey Questionnaire before colonoscopy
Record the completion of colonoscopy and CIT for patients during colonoscopy and record the preparation of the colon and the presence of serious organic diseases
Collect other patient information including age gender and history of major diseases
All patients included in the study should meet the inclusion criteria and not meet the exclusion criteria
Organize the data and divide the patients into two groups based on whether their CIT time is greater than 10 minutes
Use t-tests and chi-square analysis to determine whether each factor is related to difficult colonoscopy with a significance threshold of P005
Include significant variables in logistic regression for initial analysis and calculate OR
Use LASSO regression for sparse selection and include non-zero features in the machine learning model construction
Divide the data into training set and test set and construct random forest models artificial neural network models and support vector machine models etc Through receiver operating curve ROC precision accuracy recall rates etc the models error can be evaluated and the models generalization ability can be compared
Research has identified factors that influence CIT including age gender body mass index BMI waist circumference bowel preparation and prior abdominal surgery history
Personality traits have been found to be associated with the onset of many diseases such as hypertension and A-type personality depression and neurotic personality According to the Big Five personality theory personality can be decomposed into five dimensions openness O conscientiousness C extraversion E agreeableness A and neuroticism N The Big Five personality theory is a commonly used personality typology in scientific research and has been confirmed in numerous studies The Big Five Personality Inventory BFI is a tool for detecting the classification of the Big Five personality traits The Chinese version of the Big Five Personality Inventory and norms were jointly revised by Professor Li Jian from the Department of Psychology Beijing Normal University and the scale norms were constructed to include people of different age groups The scale has shown excellent reliability and validity
The discovery of the brain-gut axis suggests that neural activity can affect the intestinal activity in various ways directly or indirectly thereby affecting the difficulty of colonoscopy but there is still a lack of research on the relationship between personality types and difficult colonoscopy and the specific correlation has not been clarified Whats more important is that previous studies often used ordinary least squares regression OLS regression or logistic regression The purpose of this study is to investigate whether personality BMI age gender anxiety and depression index metabolic diseases and history of abdominal and pelvic surgery are associated with prolonged colonoscopy insertion time and difficult colonoscopy and to construct a clinical diagnostic model by using machine learning methods to predict colonoscopy insertion time and identify difficult colonoscopy patients based on significant variables
The basic research framework is designed as follows
Invite patients scheduled for colonoscopy to fill out the Personality Tendency and Colonoscopy Survey Questionnaire before colonoscopy
Record the completion of colonoscopy and CIT for patients during colonoscopy and record the preparation of the colon and the presence of serious organic diseases
Collect other patient information including age gender and history of major diseases
All patients included in the study should meet the inclusion criteria and not meet the exclusion criteria
Organize the data and divide the patients into two groups based on whether their CIT time is greater than 10 minutes
Use t-tests and chi-square analysis to determine whether each factor is related to difficult colonoscopy with a significance threshold of P005
Include significant variables in logistic regression for initial analysis and calculate OR
Use LASSO regression for sparse selection and include non-zero features in the machine learning model construction
Divide the data into training set and test set and construct random forest models artificial neural network models and support vector machine models etc Through receiver operating curve ROC precision accuracy recall rates etc the models error can be evaluated and the models generalization ability can be compared
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
None
Is a FDA Regulated Device?:
None
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None