Related Experiment Video
Updated: Jul 1, 2025

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
Temporal trends in colorectal cancer mortality rates (1999-2022) in the United States
Fariha Ilyas1, Eiman Ahmed2, Hassam Ali3
1Department of Internal Medicine, ECU Health Medical Center, Greenville, North Carolina, USA.
Abstract:
Colorectal cancer (CRC) ranks as the third leading cause of cancer-related deaths in the United States (U.S.). Our study aims to analyze CRC mortality patterns in the U.S., focusing on gender and age groups from 1999 to 2022. We analyzed Age-Adjusted Mortality Rates (AAMRs) for CRC-related deaths using the CDC Wide-ranging Online Data for Epidemiologic Research (CDC WONDER) database and assessed differences between age and sex. CRC-related mortality decreased significantly from 1999 to 2011 (-2.81% APC) and from 2011 to 2020 (-1.95% APC) but a not significant uptrend from 2020 to 2022 (2% APC). Males experienced a more significant decrease. Among age groups, crude mortality decreased until 2020, except in age group 45-54, which showed an annual increase in mortality of 0.9% from 2004 to 2022. Furthermore, individuals aged 75-84 and 85+ saw a nonsignificant annual increase of 1.8% and 4.5% from 2020 to 2022, respectively. Our study highlights a significant decline in age and gender-specific CRC-related mortality from 1999 to 2020. However, the worrisome uptrend observed in the younger age group of 45-54 emphasizes the importance of implementing targeted public health measures and evidence-based interventions.
Related Concept Videos
Cancer Survival Analysis
Tumor Progression
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
Introduction To Survival Analysis
The primary goal of survival analysis is to estimate survival time—the time...
Assumptions of Survival Analysis

