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Machine Learning-Driven Transitional Pain Service for Chronic Postsurgical Pain: A Pilot Randomized Controlled Trail

Machine Learning-Driven Transitional Pain Service for Chronic Postsurgical Pain: A Pilot Randomized Controlled Trail

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
ChiCTR
Registry ID
ChiCTR2500104817
Enrollment
Unknown
Registered
2025-06-24
Start date
2025-07-01
Completion date
Unknown
Last updated
2025-10-20

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

Conditions

Chronic postsurgical pain, CPSP

Interventions

Intervention group:Knowledge and Medication Protocols

Sponsors

West China Hospital of Sichuan University
Lead Sponsor

Eligibility

Sex/Gender
Female
Age
40 Years to 65 Years

Inclusion criteria

Inclusion criteria: 1. Age 40-65 years; 2. High-risk population identified by machine learning predictive models: Female patients undergoing elective breast surgery or thoracic surgery; 3. Patients who have provided informed consent.

Exclusion criteria

Exclusion criteria: 1. Patients with a history of allergic reactions to the drugs used in this study; 2. Patients with severe hepatic or renal dysfunction; 3. Illiterate individuals or those with education below primary school level; 4. Patients with communication difficulties who cannot cooperate to complete the questionnaire; 5. Patients who have participated in other studies within the past 3 months.

Design outcomes

Primary

MeasureTime frame
Incidence of Chronic postsurgical pain;

Secondary

MeasureTime frame
Adverse drug reactions to pain clinic prescribed medications;NRS score of postoperative pain;Subacute postoperative pain;Compliance with pain clinic;

Countries

China

Contacts

Public ContactQian Li

West China Hospital of Sichuan University

hxliqian@foxmail.com+86 189 8060 1635

Outcome results

None listed

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