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

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

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
ITMCTR
Registry ID
ITMCTR2026001740
Enrollment
Unknown
Registered
2026-07-16
Start date
2026-09-01
Completion date
Unknown
Last updated
2026-08-03

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

Conditions

Cancer Pain

Interventions

Experimental group:Basic treatment with opioid analgesics + acupuncture manipulation, achieving the standard of qi arrival at the affected site
Control group:Basic treatment with opioid analgesics + acupuncture manipulation, shallow needling at non-meridian, non-acupoint locations

Sponsors

Guangzhou University of Chinese Medicine Shenzhen Hospital(Futian)
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: (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.

Exclusion criteria

Exclusion criteria: 1) Pain associated with oncological emergencies, such as fracture, visceral organ obstruction, or perforation; 2) Severe organ dysfunction such as end-stage renal disease, severe heart failure, and difficult-to-control infections; 3) Pregnant or breastfeeding women; 4) Patients with consciousness disorders, mental disorders, or communication disorders who are unable to complete study questionnaires or scale assessments; 5) Local infection or inflammation at the acupuncture site with tumor infiltration; 6) Coagulation dysfunction (INR > 1.5), platelet count < 100 × 10^9/L; 7) 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; 8) Patients with non-removable electronic devices or metal implants that may interfere with bioelectrical signal collection; 9) Exclusion of long-term use of immunosuppressants or high-dose corticosteroids

Design outcomes

Primary

MeasureTime frame
Difference in Visual Analogue Scale scores before and after treatment;

Secondary

MeasureTime frame
visual analogue scale;Brief Pain Inventory;Karnofsky Performance Status scale;Change in opioid consumption;

Countries

China

Contacts

Public ContactYufeng Xie

Guangzhou University of Chinese Medicine Shenzhen Hospital(Futian)

714732618@qq.com13760387089

Outcome results

None listed

Source: ITMCTR (via WHO ICTRP) · Data processed: Aug 10, 2026