Development and Validation of a Predictive Nomogram for Diagnosing Colorectal Cancer Based on Immune-Nutritional...

Area of Science:

• Oncology
• Medical Diagnostics
• Biomarkers

Background:

• Early diagnosis of colorectal cancer (CRC) is crucial for improving patient prognosis.
• Current clinical practice lacks simple and effective screening methods for CRC.
• Developing accurate and accessible diagnostic tools remains a significant challenge.

Purpose of the Study:

• To identify independent diagnostic predictors for colorectal cancer (CRC).
• To develop and internally validate a diagnostic nomogram for CRC.
• To assess the clinical utility and predictive performance of the developed nomogram.

Main Methods:

• A retrospective study included patients with CRC, benign colorectal polyps (BCP), and healthy controls (HCs).
• Participants were divided into training and validation cohorts.
• Logistic regression analyses identified independent predictors, and a diagnostic nomogram was constructed and validated.

Main Results:

• Sex, hemoglobin (HB), CEA, CA19-9, CONUT score, and HALP score were identified as independent predictors of CRC.
• The diagnostic nomogram achieved a high area under the curve (AUC) of 0.896, significantly outperforming individual indicators.
• The nomogram demonstrated excellent calibration and good clinical utility.

Conclusions:

• A novel, internally validated diagnostic nomogram for CRC was developed.
• The nomogram integrates multiple independent predictors, offering superior diagnostic performance.
• This tool shows promise for improving CRC diagnosis and clinical decision-making.