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A study on building a machine learning-based clinical prediction model for bone health management in breast cancer patients

A study on building a machine learning-based clinical prediction model for bone health management in breast cancer patients

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500114442
Enrollment
Unknown
Registered
2025-12-11
Start date
2025-01-30
Completion date
Unknown
Last updated
2025-12-15

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

Conditions

Breast Cancer

Interventions

Bone loss (including osteoporosis) group:None

Sponsors

the Shanghai Seventh People's Hospital
Lead Sponsor

Eligibility

Sex/Gender
Female
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: (1) Aged 18 to 80 years; (2) Patients diagnosed with breast cancer by pathology; (3) KPS score>= 60.

Exclusion criteria

Exclusion criteria: (1) Bone mineral diseases: e.g., deformational osteitis, osteogenesis imperfecta, osteochondrosis, etc. (2) Diseases affecting bone metabolism: e.g. Cushing's syndrome, rheumatoid or rheumatoid arthritis; (3) Have used hormone replacement therapy within 6 months: e.g. glucocorticoids, parathyroid hormone, etc. (4) Surgical treatment of joints of the extremities within 6 months; (5) Combination of serious primary diseases such as severe cardiovascular, hepatic, renal and hematopoietic systems; (6) Psychiatric patients with cognitive loss or mental abnormality.

Design outcomes

Primary

MeasureTime frame
Bone density test ;

Secondary

MeasureTime frame
25-Hydroxy-vitamin-D;ß-CTX;osteocalcin;Growth hormone ;TCM symptom and sign scoring;Osteoarthritis index;E2;FSH;LH;PRL;PRO;TE;Renal function;

Countries

China

Contacts

Public ContactChu Meiling

Shanghai Seventh People's Hospital

912995664@qq.com+86 188 5109 3356

Outcome results

None listed

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