A Model for Risk Prediction of Fracture in Diabetic Patients With Osteoporosis

August 26, 2020 updated by: Xinhua Hospital, Shanghai Jiao Tong University School of Medicine
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.

Study Overview

Status

Unknown

Conditions

Intervention / Treatment

Study Type

Observational

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Chinese

Description

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 Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
Fracture
Time Frame: 2-10 year
2-10 year

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Xinhua Hospital, Shanghai Jiao Tong University School of Medicine

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

July 1, 2012

Primary Completion (Anticipated)

September 30, 2022

Study Completion (Anticipated)

September 30, 2022

Study Registration Dates

First Submitted

August 26, 2020

First Submitted That Met QC Criteria

August 26, 2020

First Posted (Actual)

September 1, 2020

Study Record Updates

Last Update Posted (Actual)

September 1, 2020

Last Update Submitted That Met QC Criteria

August 26, 2020

Last Verified

August 1, 2020

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • XH-20-020

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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