FindTrial
Sign In

Development of an Interpretable Machine Learning Model for Chronic Pain Prediction Following Total Knee Arthroplasty

Development of an Interpretable Machine Learning Model for Chronic Pain Prediction Following Total Knee Arthroplasty

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600116004
Enrollment
Unknown
Registered
2026-01-04
Start date
2025-09-03
Completion date
Unknown
Last updated
2026-01-05

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

Conditions

Chronic Post-surgical Pain

Interventions

Chronic/non-chronic pain observation group:None

Sponsors

The First Affiliated Hospital of Dalian Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 90 Years

Inclusion criteria

Inclusion criteria: 1.Scheduled for elective knee replacement surgery; 2.ASA physical status I-III; 3.Age 18-90 years; 4.BMI 18-35 kg/m^2; 5.Signed informed consent obtained;

Exclusion criteria

Exclusion criteria: 1.Cognitive dysfunction or psychiatric disorders that preclude cooperation with follow-up or examinations; 2.Emergency patients, such as those with fractures from traffic accidents;

Design outcomes

Primary

MeasureTime frame
Those with an NRS score greater than 3 points at 3 months after the operation;—

Secondary

MeasureTime frame
Those with an NRS score greater than 3 at 1 month after the operation;—

Countries

China

Contacts

Public ContactChao Wen

The First Affiliated Hospital of Dalian Medical University

doctwen@163.com+86 18098876177

Outcome results

None listed

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