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Study of Risk Factors and Prediction of Blood Clots After Lung Cancer Surgery

NCT07439991 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 900

Last updated 2026-02-27

No results posted yet for this study

Summary

The goal of this observational study is to learn about the risk factors and prediction of postoperative venous thromboembolism (VTE) in patients undergoing lung cancer surgery. The main question it aims to answer is:

Which clinical, surgical, and laboratory factors are associated with the development of postoperative deep vein thrombosis (DVT) in lung cancer surgery patients, and can machine learning models accurately predict individual risk?

Participants undergoing lung cancer surgery will be prospectively followed for 30 days after surgery. Perioperative clinical data, laboratory results, and imaging findings will be collected to identify VTE risk factors and to develop a predictive model.

Conditions

  • Lung Cancer (Diagnosis)
  • Deep Vein Thrombosis (DVT)
  • Venous Thromboembolism (VTE)

Interventions

OTHER

Prospective Perioperative Data Collection

The intervention involves the prospective collection of perioperative clinical, laboratory, and imaging data from adult patients undergoing lung cancer surgery. No therapeutic or diagnostic procedures beyond standard care are applied. Collected data will be used to identify risk factors for postoperative deep vein thrombosis (DVT) and to develop machine learning-based predictive models.

Sponsors & Collaborators

  • The First Hospital of Jilin University

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-11-01
Primary Completion
2029-11-01
Completion
2029-11-30

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07439991 on ClinicalTrials.gov