To systematically evaluate the published literature on the development and validation of postoperative VTE risk prediction models for patients with lung cancer, emphasizing the importance of methodological quality.
Key Findings:
Twenty studies involving twenty prediction models were included, all with a high risk of bias. A total of 4,700 records were identified during the search.
Interpretation:
Existing postoperative VTE prediction models for lung cancer patients show some discriminatory ability but are limited by high bias and applicability issues, which may hinder their clinical utility.
Limitations:
All included studies demonstrated a high risk of bias, which may affect the reliability of the findings.
Most studies were retrospective and single-center.
Limited number of studies used advanced modeling techniques.
Conclusion:
Future studies should adopt rigorous methodologies, ensure adequate sample sizes, standardize predictor handling, and conduct multicenter external validation to enhance the reliability and clinical utility of VTE prediction models.
