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Application of artificial intelligence based on big data in prevention and treatment of osteoporosis in perimenopausal and early menopausal women

Application of artificial intelligence based on big data in prevention and treatment of osteoporosis in perimenopausal and early menopausal women

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Interventional
Source
ChiCTR
Registry ID
ChiCTR2000032279
Enrollment
Unknown
Registered
2020-04-25
Start date
2020-04-23
Completion date
Unknown
Last updated
2020-04-27

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

osteoporosis

Interventions

Experimental group:Menopause Hormone Therapy
control group:vitamin-d + calcium supplement

Sponsors

HangZhou Women's Hospital
Lead Sponsor

Eligibility

Sex/Gender
Female
Age
40 Years to 60 Years

Inclusion criteria

Inclusion criteria: 1. Perimenopausal criteria: aged 40-55 years, menopausal symptoms or irregular menstrual cycle to 1 year of menopause; 2. Early menopause criteria: 45-60 years old women, natural menopause 1-5 years.

Exclusion criteria

Exclusion criteria: 1. The population with history of malignant tumor, cardiovascular disease, serious chronic disease, endocrine disease or secondary osteoporosis; 2. People who used estrogen, calcitonin or bisphosphonate beyond 6 months; 3. People who drink and abuse drugs; 4. Eliminate MHT taboos.

Design outcomes

Primary

MeasureTime frame
procollagen type 1 N-peptide;serum C-terminal telopeptide of type 1 collagen;dual energy X-ray absorptiometry;Osteoporosis related genes;

Countries

China

Contacts

Public ContactZhang Zhifen

HangZhou Women's Hospital

zhangzf@zju.edu.cn+86 13958115951

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026