Ignite Creation Date:
2024-05-06 @ 8:22 PM
Last Modification Date:
2024-10-26 @ 3:26 PM
Study NCT ID:
NCT06352164
Status:
COMPLETED
Last Update Posted:
2024-04-09
First Post:
2024-04-02
Brief Title:
Efficacy Classification Prediction of the Effects of Acupuncture on Abdominal Pain in Patients With Crohns Disease
Sponsor:
Shanghai Institute of Acupuncture Moxibustion and Meridian
Organization:
Shanghai Institute of Acupuncture Moxibustion and Meridian
Study Overview
Official Title:
Predicting the Clinical Efficacy of Acupuncture for Abdominal Pain in Patients With Crohns Disease Based on Gut Microbiology and Machine Learning
Status:
COMPLETED
Status Verified Date:
2024-03
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
Machine learning algorithms are applied to discover gut flora markers that predict the clinical efficacy of acupuncture so as to screen the appropriate population for acupuncture and optimise the allocation of healthcare resources
Detailed Description:
Crohns disease is an intestinal inflammatory diseasecausing abdominal pain diarrhea and other symptomsThe intestinal flora disorder is closely related to the occurrence and development of Crohns disease Acupuncture can induce remission of Crohns disease during mild to moderate active period improve clinical symptoms such as abdominal pain Acupuncture can affect the gut microbiota The aim of this study was to apply gut microbiological data and clinical data from subjects at baseline to predict the clinical efficacy of acupuncture by machine learning algorithms and to classify patients as effectiveineffective in order to screen for suitable subjects for acupuncture
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None