Development and internal validation of a nomogram to predict colorectal cancer risk in patients with diverticulitis.

We developed and internally validated a nomogram to predict colorectal cancer risk in patients with diverticulitis, using a binary classification to guide flexible sigmoidoscopy referral.

The tool demonstrated robust discriminative ability and could reduce unnecessary colonoscopies while prioritising high-risk patients for timely evaluation.

Unlike existing colorectal cancer risk models targeting asymptomatic individuals, our nomogram is tailored to diverticulitis patients. External validation in multi-centre cohorts is required before adoption into routine clinical practice.