Prospective cohort study on constructing a predictive model for the outcome of cancer-related pain in Shenzhen based on multi-sensor technology and machine learning, and exploring the early intervention of acupuncture for pain relief
- Conditions
- Cancer Pain
- Registration Number
- ITMCTR2024000225
- Lead Sponsor
- Guangzhou University of Traditional Chinese Medicine Shenzhen Hospital (Futian)
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Recruiting
- Sex
- All
- Target Recruitment
- Not specified
1: After pathological diagnosis, the patient is diagnosed with malignant tumor and is expected to survive for more than 3 months
2: The numerical rating scale (NRS) score for pain is = 4 points and/or the number of episodes of pain is = 3 times per day
3: ECOG score of 0-3 and KPS score of = 50 in the Eastern United States
1 Patients with communication barriers or impaired consciousness
2 Patients unwilling to receive acupuncture techniques for analgesia
3 Patients with mental disorders
4 Patients with severe infections or organ dysfunction such as liver and kidney
5 Patients with previous nervous system diseases such as epilepsy, Parkinson's disease, cerebral stroke, or those with implanted electronic devices or metal implants that are difficult to remove and may affect electroencephalogram (EEG) observations
6 Pregnant women, lactating women, and those who have plans to conceive in the next six months
Study & Design
- Study Type
- Interventional study
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method RS;
- Secondary Outcome Measures
Name Time Method frequency of breakthrough pain;equivalent morphine dosage;