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Development and Validation of a Machine Learning-Based Predictive Model for Depression in Prostate Cancer Patients

Development and Validation of a Machine Learning-Based Predictive Model for Depression in Prostate Cancer Patients

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500097815
Enrollment
Unknown
Registered
2025-02-26
Start date
2025-02-28
Completion date
Unknown
Last updated
2025-03-03

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

Conditions

Prostate Cancer

Interventions

Depression group:None
None-depression group:None

Sponsors

Chongqing university cancer hospital
Lead Sponsor

Eligibility

Sex/Gender
Male
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1. Patients were diagnosed with prostate cancer. 2. Patients provided informed consent to participate in this study.

Exclusion criteria

Exclusion criteria: 1. Patients unable to communicate effectively. 2. Patients with a history of severe alcohol abuse or drug addiction. 3. Patients with other severe medical conditions, such as advanced chronic obstructive pulmonary disease (COPD), end-stage renal disease requiring long-term dialysis, or severe multivessel coronary artery disease. 4. Patients with a history of mental illness, including depression, anxiety, or other psychiatric disorders prior to the diagnosis of prostate cancer. 5. Illiterate patients.

Design outcomes

Primary

MeasureTime frame
Incidence of depression;Incidence of anxiety;Receiver operating characteristic curve;Confusion Matrix;—

Countries

China

Contacts

Public ContactDan Wang

Department of Urological Oncology, Chongqing University Cancer Hospital

anran1011@163.com+86 159 2338 4246

Outcome results

None listed

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