Paediatric anaesthesia & critical care
A systematic review of efforts to predict day of surgery cancellation
Authors' conclusion
Models to predict DOSC identified in this review demonstrated moderate discrimination ability but there was significant heterogeneity between studies and reports of calibration were limited.
Study context
- Population
- Studies developing, validating or updating a model to predict day of surgery cancellation (DOSC) in elective adult and paediatric surgery
- Participants
- 759,337 participants · 6 studies
- Outcome
- Discrimination of DOSC prediction models (best AUC per study)
Methodological detailsSynthesis Without Meta-Analysis, SWiM framework, PROBAST risk of bias assessment
- Synthesis Without Meta-Analysis
- SWiM framework
- PROBAST risk of bias assessment
Pooled result
As reported in the abstract
Best AUC, development datasets
0.75 to 0.92
Best AUC, validation datasets
0.70 to 0.74
Further pooled results
Cancellations among included procedures
- Cancellations
- 47 609
Calibration
- One study: better calibration at census tract level of spatial regression models with local survey data vs individual-prediction-aggregation models
Original publication
A systematic review of efforts to predict day of surgery cancellation. Eur J Anaesthesiol. Published 25 February 2026. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →