A preoperative nomogram to predict surgical site infection (SSI) in colorectal cancer (CRC) patients was developed and validated using data from 1,445 patients. Seven key predictors were identified, yielding strong calibration and discrimination. The model achieved an area under the curve (AUC) of 0.838 in training and 0.793 in validation cohorts, demonstrating greater predictive benefit than individual markers. This innovative tool aids in assessing SSI risk, enhancing preoperative decision-making.
Review by Mao F, Song M (…) Cai K et 2 al. in Int J Colorectal Dis
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