Cardiothoracic & vascular anesthesia
Multivariable Prediction Models for Atrial Fibrillation after Cardiac Surgery: A Systematic Review and Critical Appraisal
Authors' conclusion
Overall, no individual model could be recommended for clinical use given the methodologic limitations identified
Study context
- Population
- Studies developing or externally validating prediction models for atrial fibrillation after cardiac surgery (AFACS)
- Outcome
- Model performance and risk of bias
Methodological detailsrisk of bias assessment
- Risk of bias assessment
Pooled result
As reported in the abstract
Median C-statistic, apparent validation alone (range 0.60 to 0.98)
0.71
Median C-statistic, external validation (range 0.51 to 0.77)
0.61
Original publication
Multivariable Prediction Models for Atrial Fibrillation after Cardiac Surgery: A Systematic Review and Critical Appraisal. Anesthesiology. Published 21 October 2025. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →