ITMCTR2024000225招募中Unknown
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
Guangzhou University of Traditional Chinese Medicine Shenzhen Hospital (Futian)0 个研究点开始时间: 待定最近更新:
试验速览
- 阶段
- Unknown
- 状态
- 招募中
- 发起方
研究概览
简要总结
暂无简介。
研究设计
- 研究类型
- Interventional
入排标准
- 年龄范围
- 18 至 70(—)
- 性别
- All
入选标准
- •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
排除标准
- •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
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