Why the study?
Can parsimonious prediction models accurately predict postoperative mortality and morbidity without the need for specialty-specific models or laboratory variables?
Population
2,275,240 surgical cases in the American College of Surgeons National Surgical Quality Improvement Program…
Comparison
Parsimonious prediction models vs Prediction models with preoperative laboratory…
Design
Cohort
Follow-up
30-day
Authors
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May simplify surgical risk prediction without labs; leaves open prospective validation before clinical adoption.
Can parsimonious prediction models accurately predict postoperative mortality and morbidity without the need for specialty-specific models or laboratory variables?
Parsimonious prediction models using 7 to 11 nonlaboratory variables can accurately predict 30-day postoperative mortality and morbidity across a broad surgical population.
Meguid et al. (2016) studied this question.
Synapse has enriched 2 closely related papers on similar clinical questions. Consider them for comparative context: