Evaluating the Risk of Postoperative Venous Thromboembolism in Cervical Cancer Patients

NCT06556953 | Completed

• 1 other identifier: CZLS2023337-A
• Study Type: observational
• Target: 1,174
• Locations: 1 country
• Sites: 1

Brief Summary

The aim of this study is to develop a machine learning model to accurately predict the risk of venous thromboembolism in patients with cervical cancer after surgery.

Conditions

Venous Thromboembolism

Keywords

machine learning; postoperative VTE; cervical cancer

Outcome Measures

Primary Outcomes (1)

• Whether the patient has developed VTE is determined based on the diagnostic criteria in the "Guidelines for the Prevention and Treatment of Tumor-Associated Venous Thromboembolism (2019 Edition)."

  The diagnosis of VTE primarily includes the diagnosis of DVT and PE. According to the guidelines, DVT is diagnosed using venous compression ultrasound or venography, while PE is diagnosed using CT pulmonary angiography (CTPA) or nuclear lung ventilation/perfusion imaging.

  December 31, 2023

Eligibility Criteria

• Age: 20 Years - 89 Years
• Sex: female
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Our data was collected from electronic case of the cervical cancer patients who underwent surgical treatment at the Cancer Hospital affiliated with Chongqing University between January 2019 and December 2022

You may qualify if:

• Confirmation of cervical cancer through pathological examination.
• Receipt of surgical treatment for cervical cancer at Chongqing University Cancer Hospital in China.
• Provision of comprehensive case information.

You may not qualify if:

• Patients under the age of 18.
• History of VTE caused by other reasons before surgery.
• Secondary cervical cancer or accompanying primary malignant tumor.

Sponsors & Collaborators

• Haike Lei: lead

Study Sites (1)

Chongqing University Cancer Hospital

Chongqing, Chongqing Municipality, 400030, China

Location

MeSH Terms

Conditions

Venous Thromboembolism; Uterine Cervical Neoplasms

Condition Hierarchy (Ancestors)

Thromboembolism; Embolism and Thrombosis; Vascular Diseases; Cardiovascular Diseases; Uterine Neoplasms; Genital Neoplasms, Female; Urogenital Neoplasms; Neoplasms by Site; Neoplasms; Uterine Cervical Diseases; Uterine Diseases; Genital Diseases, Female; Female Urogenital Diseases; Female Urogenital Diseases and Pregnancy Complications; Urogenital Diseases; Genital Diseases

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: RETROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR INVESTIGATOR
• PI Title: director

Study Record Dates

• First Submitted: August 6, 2024
• First Posted: August 16, 2024
• Study Start: January 1, 2019
• Primary Completion: December 31, 2023
• Study Completion: December 31, 2023
• Last Updated: August 16, 2024

Record last verified: 2024-08

Locations

CN (1)