Risk factors associated with the detection and missed diagnosis of colorectal flat adenoma: a Chinese multicenter observational study

Scand J Gastroenterol. 2018 Dec;53(12):1519-1525. doi: 10.1080/00365521.2018.1533581. Epub 2019 Jan 8.

Abstract

Objectives: Flat colorectal adenomas have a high risk of malignancy; however, their detection is often difficult due to their flat morphology. In this retrospective, large-scale study, we investigated the prevalence and characteristics of flat adenomas in a population in China.

Methods: We analyzed the data collected for 16951 consecutive patients who underwent colonoscopy at four participating hospitals between September 2013 and September 2015. All colonoscopies were performed without magnification.

Results: Among the 1,6951 patients, 2938 (17.3%) had adenoma and 796 (4.7%) had flat adenomas. The detection of flat adenoma showed a weak correlation with the detection of adenoma (r = 0.666). Multivariable logistic regression analysis revealed the following independent factors influencing the detection of flat adenomas: patient-related factors of age, presence of warning symptoms, history of adenomas and bowel preparation as well as endoscopist-related factors of endoscopist's level of proficiency, number of colonoscopy operators and withdrawal time.

Conclusions: The prevalence of flat adenomas in our study on Chinese patients was consistent with that reported from other countries. Factors conducive to the detection of flat adenomas were patient age of > 60 years, warning symptoms, history of adenoma, good bowel preparation, experienced endoscopist, single-operator colonoscopy and colonoscopy withdrawal time of >6 min.

Keywords: Colonoscopy; colorectal cancer screening; flat adenoma; risk factor.

Publication types

  • Multicenter Study
  • Observational Study

MeSH terms

  • Adenoma / diagnostic imaging*
  • Adenoma / epidemiology
  • Adult
  • Aged
  • China / epidemiology
  • Colonoscopy*
  • Colorectal Neoplasms / diagnostic imaging*
  • Colorectal Neoplasms / epidemiology
  • Diagnostic Errors*
  • Female
  • Humans
  • Logistic Models
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Prevalence
  • Retrospective Studies
  • Risk Factors
  • Time Factors