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Clinical Trial Details — Status: Enrolling by invitation

Administrative data

NCT number NCT04534166
Other study ID # XH-20-020
Secondary ID
Status Enrolling by invitation
Phase
First received
Last updated
Start date July 1, 2012
Est. completion date September 30, 2022

Study information

Verified date August 2020
Source Xinhua Hospital, Shanghai Jiao Tong University School of Medicine
Contact n/a
Is FDA regulated No
Health authority
Study type Observational [Patient Registry]

Clinical Trial 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 adolescence.Many factors may be related to bone metabolism in patients with diabetes, including demographic data (e.g. age, height, weight, gender), medical history (e.g. smoking, drinking, menopause) and examination (e.g. bone mineral density, blood routine), urine routine).However, 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.


Recruitment information / eligibility

Status Enrolling by invitation
Enrollment 0
Est. completion date September 30, 2022
Est. primary completion date September 30, 2022
Accepts healthy volunteers No
Gender All
Age group N/A and older
Eligibility Inclusion Criteria:

- Patients in Hospital's outpatient and inpatient His database between July 2012 and November 2022, diabetic patients were combined with osteoporosis.

Exclusion Criteria:

- Patients with fractures before diagnosis of diabetes; patients with fractures before diagnosis of osteoporosis; patients with hyroid disease and other diseases that seriously affect bone metabolism.

Study Design


Related Conditions & MeSH terms

  • Healthcare; Risk Prediction; Diabetic Patients With Osteoporosis
  • Osteoporosis

Intervention

Other:
Risk Prediction of Fracture in Diabetic Patients with Osteoporosis
Risk Prediction of Fracture in Diabetic Patients with Osteoporosis

Locations

Country Name City State
n/a

Sponsors (1)

Lead Sponsor Collaborator
Xinhua Hospital, Shanghai Jiao Tong University School of Medicine

Outcome

Type Measure Description Time frame Safety issue
Primary Fracture 2-10 year