FindTrial
Sign In

Development and Validation of a Deep Learning-Based Risk Prediction Model for Deep Vein Thrombosis in Patients Undergoing Major Orthopedic Surgery

Development and Validation of a Deep Learning-Based Risk Prediction Model for Deep Vein Thrombosis in Patients Undergoing Major Orthopedic Surgery

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600127514
Enrollment
Unknown
Registered
2026-07-01
Start date
2026-07-01
Completion date
Unknown
Last updated
2026-07-13

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

Conditions

Joint pain?Degenerative spine disorders

Interventions

Observation group:None

Sponsors

Peking Union Medical College Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 90 Years

Inclusion criteria

Inclusion criteria: 1.Patients with clear consciousness and no cognitive dysfunction, who voluntarily participate and cooperate with this study and sign informed consent forms. 2.Aged 18 years or older;

Exclusion criteria

Exclusion criteria: 1.Continuous use of anticoagulants before enrollment; 2.Presence of coagulation disorders; 3.Patients receiving multiple surgical procedures during hospitalization; 4.Patients transferred to the intensive care unit (ICU) for further treatment after surgery. 5.Preoperative lower extremity venous ultrasound indicating existing lower-extremity deep vein thrombosis (DVT);

Design outcomes

Primary

MeasureTime frame
Past History;Present Illness;Surgery ;Treatment;Examinations ; Lab Results;—

Countries

China

Contacts

Public ContactLi Shuang

Peking Union Medical College Hospital

1848872341@qq.com+86 10 69152710

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Jul 23, 2026