Risk prediction models for venous thromboembolism in lung cancer patients after surgery: a systematic review and meta-analysis - Takeaways - MDSpire

Risk prediction models for venous thromboembolism in lung cancer patients after surgery: a systematic review and meta-analysis

  • By

  • Tenglu Sun

  • Yuanyuan Chen

  • Xuli Shang

  • Haifang Lin

  • Yongxia Wang

  • He Wei

  • Fei Yang

  • May 20, 2026

  • 0 min

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  • 1

    This systematic review evaluated postoperative VTE risk prediction models specifically for lung cancer patients undergoing surgery.

  • 2

    Twenty studies with twenty prediction models were included, all showing a high risk of bias according to the PROBAST tool.

  • 3

    Logistic regression was the most common modeling approach, while predictors like D-dimer and age were frequently used.

  • 4

    The pooled AUC for validated models was 0.85, indicating some discriminatory ability, but substantial heterogeneity was observed.

  • 5

    Existing VTE prediction models lack sufficient methodological rigor and clinical applicability, necessitating future improvements.

Original Source(s)

Risk prediction models for venous thromboembolism in lung cancer patients after surgery: a systematic review and meta-analysis

  • by Tenglu Sun, Yuanyuan Chen, Xuli Shang, Haifang Lin, Yongxia Wang, He Wei, Fei Yang

  • May 20, 2026

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