Incidence of Colorectal Cancer and Adenomatous Polyps After a Two-Step Screening in Isfahan Province, Iran in 2018

J Gastrointest Cancer. 2020 Sep;51(3):850-854. doi: 10.1007/s12029-019-00313-x.

Abstract

Purpose: The aim of this study was to estimate the incidence of colorectal cancers in Iran. The results of this study are based on a screening program that is being implemented in Isfahan province.

Material and methods: In this study, about 137,000 people were screened for colorectal cancer and adenomatous polyps in 2 steps during the year 2018.

Results: Based on the findings of this study, the incidence of adenomatous polyps was reported to be 389 (95% CI, 365-422) per 100,000 population. The incidence of adenomatous polyps was reported to be 483 (95% CI, 446-520) and 316 (95% CI, 286-346) in men and women, respectively (p < 0.001). Also, the incidence of colorectal cancer was reported to be 33 (95% CI, 23-42) per 100,000 population. The incidence of colorectal cancer in men and women was reported to be 41 (95% CI, 30-51) and 26 (95% CI, 17-34), respectively, indicating a statistically non-significant difference (p = 0.29).

Conclusion: Based on the result of this study, despite a low participation rate of the target population in the screening program, the incidence of adenomatous polyps and colorectal cancer is relatively high in the average-risk population.

Keywords: Adenomatous polyps; Colorectal cancer; Incidence; Screening.

MeSH terms

  • Adenomatous Polyps / diagnosis
  • Adenomatous Polyps / epidemiology*
  • Aged
  • Colonoscopy / statistics & numerical data
  • Colorectal Neoplasms / diagnosis
  • Colorectal Neoplasms / epidemiology*
  • Colorectal Neoplasms / prevention & control
  • Early Detection of Cancer / methods
  • Early Detection of Cancer / statistics & numerical data*
  • Female
  • Humans
  • Incidence
  • Iran / epidemiology
  • Male
  • Mass Screening / methods
  • Mass Screening / statistics & numerical data*
  • Middle Aged
  • Occult Blood
  • Patient Acceptance of Health Care / statistics & numerical data
  • Risk Factors
  • Sex Factors