Key result
A mathematical model for predicting 30-day mortality after colorectal cancer surgery accurately predicted outcomes in a deprived population (predicted mortality 8.2% vs actual mortality 7.8%).
Why the study?
Does a recently published mathematical model accurately predict 30-day mortality in a population with high deprivation category scores undergoing colorectal cancer surgery?
Observational (n=230)
Does a recently published mathematical model accurately predict 30-day mortality in a population with high deprivation category scores undergoing colorectal cancer surgery?
Absolute Event Rate: 8.2% vs 7.8%
A mathematical model for predicting 30-day mortality after colorectal cancer surgery performs well even in highly deprived populations, likely because socioeconomic status is already accounted for by variables like ASA grade and cancer stage.
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Supports model application in deprived populations; leaves open prospective validation before routine clinical use.
Glen et al. (2005) conducted an observational in Colorectal cancer (n=230). Mathematical model for predicting 30-day mortality vs. Actual mortality was evaluated on 30-day mortality. A mathematical model for predicting 30-day mortality after colorectal cancer surgery accurately predicted outcomes in a deprived population (predicted mortality 8.2% vs actual mortality 7.8%).
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