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Construction and Validation of a Machine Learning-Based Risk Prediction Model for Emotional Distress in Cancer Patients

Construction and Validation of a Machine Learning-Based Risk Prediction Model for Emotional Distress in Cancer Patients

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600118103
Enrollment
Unknown
Registered
2026-02-02
Start date
2025-12-18
Completion date
Unknown
Last updated
2026-02-09

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

Conditions

Pancreatic cancer, lung cancer, breast cancer, gastric cancer, and gynecological cancers

Interventions

Emotionally Distressed Group :None
Non-Emotionally Distressed Group:None

Sponsors

Tianjin Medical University Cancer Institute & Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1. Age >= 18 years; 2. Diagnosed with breast cancer, pancreatic cancer, gastric cancer, lung cancer, or gynecological malignancies through histopathological and/or cytological examinations; 3. Performance status: ECOG score of 0-1; 4. According to the Response Evaluation Criteria in Solid Tumors version 1.1 (RECIST 1.1), there must be at least one measurable lesion; 5. Informed consent for patients.

Exclusion criteria

Exclusion criteria: 1. Presence of other active malignant tumors diagnosed within the past two years; 2. Coexistence of uncontrolled acute or chronic mental disorders; 3. Currently receiving standardized treatment with antidepressant or anxiolytic medications; 4. Participation in other interventional clinical trials; 5. Inability to complete psychological assessments due to cognitive, linguistic, or other impairments.

Design outcomes

Primary

MeasureTime frame
Anxiety;depression;emotional distress;Risk stratification of Emotional Distress;

Secondary

MeasureTime frame
Risk Factors for Emotional Distress;the model's Discrimination;the model's Calibration;social support;

Countries

China

Contacts

Public ContactHao Jihui

Tianjin Medical University Cancer Institute & Hospital

haojihui@tjmuch.com+86 186 2222 1120

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 15, 2026