Evaluation and Prediction of Acupuncture Treatment Efficacy for Cancer Pain Based on Multimodal Bioelectrical Signals and Machine Learning: A Multicenter, Randomized, Controlled Clinical Trial

Guangzhou University of Chinese Medicine Shenzhen Hospital(Futian)0 个研究点开始时间: 2026年9月1日最近更新: 2026年8月3日

适应症

试验速览

暂无简介。

•(1) Pathologically confirmed malignant tumor, accompanied by pain caused by tumor progression/invasion or by antitumor therapy;
•(2) Aged 18 to 80 years, with an expected survival of = 3 months;
•(3) Moderate to severe pain, defined as a Visual Analogue Scale (VAS) score = 4;
•(4) Conscious, with sufficient comprehension and communication skills required for the study, and voluntarily providing signed informed consent.

•Pain associated with oncological emergencies, such as fracture, visceral organ obstruction, or perforation;
•Severe organ dysfunction such as end-stage renal disease, severe heart failure, and difficult-to-control infections;
•Pregnant or breastfeeding women;
•Patients with consciousness disorders, mental disorders, or communication disorders who are unable to complete study questionnaires or scale assessments;
•Local infection or inflammation at the acupuncture site with tumor infiltration;
•Coagulation dysfunction (INR > 1.5), platelet count < 100 × 10^9/L;
•Use of non-opioid analgesics (e.g., NSAIDs, anticonvulsants, antidepressants), implantable analgesic pumps, nerve blocks, or other invasive pain treatments within the past 1 month;
•Patients with non-removable electronic devices or metal implants that may interfere with bioelectrical signal collection;
•Exclusion of long-term use of immunosuppressants or high-dose corticosteroids

发起方

Guangzhou University of Chinese Medicine Shenzhen Hospital(Futian)