Ignite Creation Date:
2024-05-06 @ 3:09 PM
Last Modification Date:
2024-10-26 @ 1:43 PM
Study NCT ID:
NCT04534166
Status:
UNKNOWN
Last Update Posted:
2020-09-01
First Post:
2020-08-26
Brief Title:
A Model for Risk Prediction of Fracture in Diabetic Patients With Osteoporosis
Sponsor:
Xinhua Hospital Shanghai Jiao Tong University School of Medicine
Organization:
Xinhua Hospital Shanghai Jiao Tong University School of Medicine
Study Overview
Official Title:
A Model for Risk Prediction of Fracture in Diabetic Patients With Osteoporosis
Status:
UNKNOWN
Status Verified Date:
2020-08
Last Known Status:
ENROLLING_BY_INVITATION
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:
The fracture risk of diabetic patients proves to be higher than those without diabetesdue to thehyperglycemia usage of diabetes drugs the changes in insulin levels and excretion and this risk begins as early as adolescenceMany factors may be related to bone metabolism in patients with diabetes including demographic data eg age height weight gender medical history eg smoking drinking menopause and examination eg bone mineral density blood routine urine routineHowever most of existing methods are qualitative assessments and do not take the interactions of the physiological factors of humans into consideration In addition the fracture risk of diabetic patients with osteoporosis has not been further studied before In order to investigate the effect of patients physiological factors on fracture risk in the paper we used a hybrid model combining XGBoost with deep neural network to predict the fracture risk of diabetic patients with osteoporosis
Detailed Description:
None
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