Risk prediction models for postoperative atrial fibrillation in patients with lung cancer: a systematic review and meta-analysis - Takeaways - MDSpire

Risk prediction models for postoperative atrial fibrillation in patients with lung cancer: a systematic review and meta-analysis

  • By

  • Fei Yang

  • Tenglu Sun

  • Yi Shang

  • Yuanyuan Chen

  • Jinxiang Wu

  • Xuli Shang

  • June 2, 2026

  • 0 min

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  • 1

    Postoperative atrial fibrillation (POAF) is a significant complication after lung cancer surgery, linked to increased morbidity and mortality.

  • 2

    A systematic review identified six studies on POAF prediction models, with most using logistic regression and common predictors like age and comorbidities.

  • 3

    The pooled area under the curve (AUC) for the models was 0.79, indicating good discrimination, but substantial heterogeneity was noted.

  • 4

    All included studies exhibited a high risk of bias, limiting the reliability and clinical applicability of the POAF prediction models.

  • 5

    Current POAF models lack external validation and methodological rigor, highlighting the need for improved risk assessment strategies in lung cancer patients.

Original Source(s)

Risk prediction models for postoperative atrial fibrillation in patients with lung cancer: a systematic review and meta-analysis

  • by Fei Yang, Tenglu Sun, Yi Shang, Yuanyuan Chen, Jinxiang Wu, Xuli Shang

  • June 2, 2026

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