osteoporosis
Conditions
Interventions
Gold Standard:Diagnosis was measured by dual-energy X-ray bone density instrument
Index test:An early warning model of osteoporosis based on machine learning for perimenopausal hormone level detection
Sponsors
West China Hospital of Sichuan University
Eligibility
Sex/Gender
Female
Inclusion criteria
Inclusion criteria: 1. Female patients aged 40-60 years; 2. Informed consent is included in the researcher, and a written informed consent is signed; 3. Those who need to be screened for osteoporosis and related menopausal hormone levels during the consultation period; 4. The medical information is stored in the hospital information system (hospital information system, HIS) of the unit, and there is no language barrier.
Exclusion criteria
Exclusion criteria: 1. Suffering from major diseases of cardiovascular, brain, liver, kidney, lung, bone and other organs or systems other than endocrine and gynecological diseases; 2. Those who suffer from major mental illness and need to receive psychiatric treatment; 3. Those with perimenopausal symptoms who are obviously unable to complete the relevant hormone level test; 4. Patients who have been diagnosed with osteoporosis or have suffered fractures before seeing a doctor.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| accuracy rate of diagnosis; | — |
Countries
China
Contacts
Public ContactLiu Changqing
West China Hospital of Sichuan University
Outcome results
None listed