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Development and validation of a machine learning-based prediction model for the cancer-related fatigue in colorectal cancer patients

Biological Mechanisms of Auricular Point Pressing Intervention for Cancer-Related Fatigue in Colorectal Cancer Patients and Construction of a Predictive Model

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500106318
Enrollment
Unknown
Registered
2025-07-22
Start date
2025-07-28
Completion date
Unknown
Last updated
2025-08-18

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

Conditions

Colorectal Cancer

Interventions

Observation group:None

Sponsors

The Second Hospital of Lanzhou University (Second Clinical Medical College)
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. Age>=18 years; 2. Confirmed colorectal cancer by pathological biopsy or colorectal cancer according to the Chinese Colorectal Cancer Diagnosis and Treatment Standards (2022 Edition); 3. The patient is aware of his or her condition and has normal language communication skills; 4. Informed consent to this study.

Exclusion criteria

Exclusion criteria: 1. Preoperative confirmation that the tumor has metastasized extensively and cannot be resected; 2. Combined with other systemic malignant tumors or major somatic diseases; 3. History of mental illness or cognitive impairment; 4. Incomplete clinical data; 5. Participating in other studies.

Design outcomes

Primary

MeasureTime frame
Cancer-related fatigue;—

Countries

China

Contacts

Public ContactDou Xinman

The Second Hospital of Lanzhou University (Second Clinical Medical College)

Douxm@lzu.edu.cn+86 139 0931 8917

Outcome results

None listed

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