Skip to content

A two-way cohort study on establishing a risk prediction model for postoperative infection in oral cancer based on machine learning

A two-way cohort study on establishing a risk prediction model for postoperative infection in oral cancer based on machine learning

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500106921
Enrollment
Unknown
Registered
2025-07-31
Start date
2025-08-04
Completion date
Unknown
Last updated
2025-08-18

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

Conditions

Oral squamous cell carcinoma

Interventions

Sponsors

Beijing Stomatological Hospital , Capital Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
30 Years to 75 Years

Inclusion criteria

Inclusion criteria: 1.Age: 30-75 years old, any gender.?; 2.Patients with primary oral squamous cell carcinoma (OSCC) confirmed by histopathological diagnosis.?; 3.No history of radiotherapy or radical surgery. 4.?Tumor Stage: T2-4 N0-3 M0 (AJCC 8th Edition)?; 5.Tumor site: Tongue, floor of mouth, upper and lower gingivae, buccal mucosa, and hard palate mucosa.?;

Exclusion criteria

Exclusion criteria: 1.Subjects for whom sufficient clinical data required by the study cannot be obtained.?; 2.Pregnant or lactating women.?; 3.Individuals with psychiatric disorders or intellectual disabilities.??; 4.Individuals with severe comorbidities contraindicating surgery.?; 5.Individuals declining the treatment regimen based on personal preference.?;

Design outcomes

Primary

MeasureTime frame
Postoperative infection;

Countries

China

Contacts

Public ContactLi Delong

Beijing Stomatological Hospital , Capital Medical University

ldl11000@126.com+86 10 57099437

Outcome results

None listed

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