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NCT04534166
A Model for Risk Prediction of Fracture in Diabetic Patients With Osteoporosis
trial testing Risk Prediction of Fracture in Diabetic Patients with Osteoporosis in Healthcare; Risk Prediction; Diabetic Patients With Osteoporosis. Status unknown.
30 September 2022
Quick facts
| Lead sponsor | Xinhua Hospital, Shanghai Jiao Tong University School of Medicine |
|---|---|
| Status | Status unknown |
| Study type | OBSERVATIONAL |
| Start date | 1 July 2012 |
| Primary completion | 30 September 2022 |
| Estimated completion | 30 September 2022 |
Drugs / interventions tested
- Risk Prediction of Fracture in Diabetic Patients with Osteoporosis
Conditions studied
- Healthcare; Risk Prediction; Diabetic Patients With Osteoporosis — all drugs for Healthcare; Risk Prediction; Diabetic Patients With Osteoporosis →
Sponsor
Xinhua Hospital, Shanghai Jiao Tong University School of Medicine
Who can join
Eligibility, any sex, with Healthcare; Risk Prediction; Diabetic Patients With Osteoporosis. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
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.
Publications & conference data
No peer-reviewed publications indexed yet for this trial.
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Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT04534166 (US National Library of Medicine, public domain)
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Xinhua Hospital, Shanghai Jiao Tong University School of Medicine
- Last refreshed: 1 September 2020
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