Predictive Value of Diagnostic Delay Factors for Stage Distribution in Colorectal Cancer Screening

Abstract

Colorectal cancer remains one of the leading causes of cancer-related morbidity and mortality worldwide, heavily dependent on the stage at diagnosis for prognostic outcomes. Screening programs have been widely implemented to detect precancerous lesions and early-stage malignancies, yet the effectiveness of these interventions is frequently undermined by diagnostic delays. This paper presents a comprehensive academic investigation into predicting stage distribution based on diagnostic delay factors using extensive registry analysis. By examining large-scale population data, the study identifies critical patient-level, system-level, and clinical factors that contribute to prolonged intervals between initial screening abnormalities and definitive diagnosis. A meticulous methodological framework is employed to harmonize disparate registry data, ensuring robust categorization of delay intervals and cancer stages. Through advanced predictive modeling techniques, described conceptually without mathematical notation, the analysis quantifies the probability of stage progression as a function of time delay. The findings emphasize that delays exceeding a specific threshold significantly shift the distribution toward advanced stages, compounding the burden on healthcare systems and worsening patient survival rates. This research highlights the urgent need for optimized clinical pathways, integrated registry surveillance, and targeted health policies to minimize delays, thereby maximizing the life-saving potential of colorectal cancer screening programs on a global scale.