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Completed

NCT Number: NCT06556953

Evaluating the Risk of Postoperative Venous Thromboembolism in Cervical Cancer Patients

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.

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Key information

Conditions

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

Age range

20 year–89 year

Sex eligibility

Female

Study type

Observational

Primary location

Chongqing University Cancer Hospital

Chongqing, Chongqing Municipality, 400030, China

About this study

Venous thromboembolism (VTE) is a common and life-threatening complication in patients with cervical cancer following surgery. The objective of this study is to develop a machine learning model with the potential to predict the risk of VTE in these patients postoperatively. We plan to employ partial dependence (PD) curves, breakdown (BD) curves, Ceteris-paribus (CP), and SHapley additive exPlanations (SHAP) values for a comprehensive analysis. The goal is to explore how different machine learning algorithms can be utilized as tools for personalized postoperative VTE risk assessment in cervical cancer patients.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • 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.

Exclusion criteria

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

Treatment and study plan

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)."

    Time frame: December 31, 2023

    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.

Sponsors and collaborators

Lead sponsor

Haike Lei

Other

Registry information

Official study title

Development and Validation of Machine Learning Models to Evaluate the Postoperative Venous Thromboembolism Risk of Cervical Cancer Patients in China

Important dates

Study start
2019
Primary completion
2023
Study completion
2023
First posted
Aug 16, 2024
Registry last updated
Aug 16, 2024

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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