Evaluation of adenomas per colonoscopy and adenomas per positive participant as new quality parameters in screening colonoscopy

Gastrointest Endosc. 2019 Mar;89(3):496-502. doi: 10.1016/j.gie.2018.08.013. Epub 2018 Aug 21.


Background and aims: The primary aim of this study was to evaluate adenomas per positive participant (APP) and adenomas per colonoscopy (APC) as new quality parameters in screening colonoscopy. Furthermore, we wanted to assess whether these parameters differ depending on the setting or profession.

Methods: Colonoscopy records were obtained from the database of the Austrian certificate of quality for screening colonoscopy. The Spearman correlation was calculated to compare the adenoma detection rate (ADR), APC, APP, and advanced ADR. The parameters were compared between surgeons and internists and between private practices and hospitals by using the t test.

Results: A total of 44,142 colonoscopies performed by 202 endoscopists were included. APC showed a strong correlation with ADR (r = 0.94; P < .01), and both showed a similar correlation with the advanced ADR (ADR: r = 0.47; P < 0.01, APC: r = 0.46; P < .01). APP showed weaker correlations compared with all other parameters (ADR: r = 0.36; P < .01; advanced ADR: r = 0.19; P < .01). Private practices did not differ in ADR, APP or APC from hospitals. Among endoscopists with ADRs of ≥25%, 7 (10.3%) had an APP in the lowest quartile, whereas no endoscopists had an APC in the lowest quartile.

Conclusions: APC did not reveal additional information to ADR, and thus there is no need to use it instead of or additionally to ADR. Although the APP identifies endoscopists who find few adenomas per procedure despite acceptable ADRs, this additional information might not be important in regard to sufficient colorectal cancer prevention, because these endoscopists still had high advanced ADRs.

MeSH terms

  • Adenoma / diagnosis*
  • Austria
  • Colonoscopy / standards*
  • Colorectal Neoplasms / diagnosis*
  • Early Detection of Cancer
  • Female
  • Humans
  • Male
  • Quality Indicators, Health Care