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Identifying high-risk mucoepidermoid carcinoma patients across diverse anatomical sites and enhancing prognostic capability through a novel tool based on machine learning model

Identifying high-risk mucoepidermoid carcinoma patients across diverse anatomical sites and enhancing prognostic capability through a novel tool based on machine learning model

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600120622
Enrollment
Unknown
Registered
2026-03-17
Start date
2024-12-30
Completion date
Unknown
Last updated
2026-03-23

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

Conditions

Mucoepidermoid carcinoma

Interventions

A group:None
B group:None

Sponsors

Children's Hospital of Chongqing Medical University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1.patients were diagnosed with “8430/3: mucoepidermoid carcinoma”;

Exclusion criteria

Exclusion criteria: 1. Missing data on the primary site; 2. Missing follow-up outcome data; 3. Missing survival time data; 4. Missing information on the cause of patient death.

Design outcomes

Primary

MeasureTime frame
alive;—

Countries

China

Contacts

Public ContactWanshan Li

Children's Hospital of Chongqing Medical University

cqlwsam2622@163.com+86 23 63631096

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Apr 3, 2026