Key result
The eight-item GerCRC prediction model demonstrated satisfactory discrimination for severe postoperative complications in older patients undergoing colorectal cancer surgery (AUC 0.69; 95% CI 0.73-0.64).
Why the study?
Existing colorectal cancer surgical prediction models have not incorporated geriatric predictors, limiting their applicability for preoperative decision-making in older patients at increased risk of morbidity and mortality.
Does a prediction model incorporating geriatric characteristics accurately predict severe postoperative complications in patients ≥70 years undergoing elective colorectal cancer surgery?
Observational (n=1,088)
Yes
Does a prediction model incorporating geriatric characteristics accurately predict severe postoperative complications in patients ≥70 years undergoing elective colorectal cancer surgery?
Effect estimate: AUC 0.69 (95% CI 0.73-0.64)
The GerCRC prediction model, which incorporates geriatric characteristics, provides satisfactory prediction of severe postoperative complications in older patients undergoing colorectal cancer surgery.
May inform preoperative risk assessment in older colorectal cancer patients; hypothesis-generating pending external validation.
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Souwer et al. (2021) conducted an observational in Stage I-III colorectal cancer (n=1,088). GerCRC prediction model was evaluated on Severe postoperative complications (AUC 0.69, 95% CI 0.73-0.64). The eight-item GerCRC prediction model demonstrated satisfactory discrimination for severe postoperative complications in older patients undergoing colorectal cancer surgery (AUC 0.69; 95% CI 0.73-0.64).
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