Adenoma Detection Rate
Conditions
Keywords
adenoma detection rate, colonoscopy, trainee, learning curve
Brief summary
Colon cancer is the second most common cause of death among cancer-related deaths in Germany. Precancerous lesions such as adenomas can be detected efficiently by colonoscopy. To provide high quality in colonoscopy several quality parameters have been postulated in the past. The adenoma detection rate (ADR) is one of those parameters. Empirical data suggest that a detection rate of 20% should be demanded. Detection rates are influenced by a multitude of circumstances such as bowel cleanness. The facts that detection rates vary between colonoscopists suggests that leaning effects may also play a role. It is not known how ADR and other quality parameters evolve while trainees improve their skills in colonoscopy. The investigators postulate that a learning curve exists. The investigators therefore plan to evaluate chronologically the findings of trainee colonoscopists. A particular performance in detecting adenomas shall be calculated in relation to the amount of examinations performed.
Interventions
None listed
Sponsors
Technical University of Munich
Study design
Time perspective
RETROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
Inclusion criteria
* colonoscopy performed at the Technical University Munich, Germany
Exclusion criteria
* colonoscopy performed for the purpose of polypectomy
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Adenoma detection rate | every 50 examinations | While numbers of investigations rise new detection rates are calculated for each colonoscopist. |
Secondary
| Measure | Time frame |
|---|---|
| Polyp detection rate | every 50 examinations |
Other
| Measure | Time frame |
|---|---|
| Amount of sedative used | every 50 exmainations |
Countries
Germany
Outcome results
None listed