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Development and validation of prognostic models based on machine learning for postoperative survival in patients with cervical cancer

Development and validation of prognostic models based on machine learning for postoperative survival in patients with cervical cancer

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400081811
Enrollment
Unknown
Registered
2024-03-13
Start date
2023-01-01
Completion date
Unknown
Last updated
2024-03-18

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

Conditions

cervical cancer

Interventions

Case series:none

Sponsors

West China Second University Hospital of Sichuan University
Lead Sponsor

Eligibility

Sex/Gender
Female
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1. Patients who underwent radical surgery for cervical cancer in West China Second Hospital of Sichuan University from January 1, 2014 to January 1, 2020 2.ASA grade I-III; 3. The time from operation to death exceeds 1 month

Exclusion criteria

Exclusion criteria: Non-radical surgery and re-surgery after recurrence

Design outcomes

Primary

MeasureTime frame
Death;—

Secondary

MeasureTime frame
Recurrence;—

Countries

China

Contacts

Public ContactZhou Wenqin

West China Second University Hospital of Sichuan University

zhoutry@qq.com+86 182 2806 9886

Outcome results

None listed

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