Related Experiment Video
Updated: Jan 26, 2026

Evaluation of Colorectal Cancer Risk and Prevalence by Stool DNA Integrity Detection
Published on: June 8, 2020
Data quality and colonoscopy performance indicators in the prevalent round of a FIT-based colorectal cancer screening
Martin Lund1, Rune Erichsen2, Roland Valori3
1a Department of Public Health Programmes , Randers Regional Hospital , Randers , Denmark.
Abstract:
Objective: From the prevalent round of the Danish FIT-based colorectal cancer (CRC) screening program, we aimed (i) to evaluate the quality of recorded data and (ii) to characterize the colonoscopies by measuring variation in performance indicators between colonoscopists and assessing the ratio between adenoma detection rate (ADR) and polyp detection rate (PDR). Materials and methods: This study included screening colonoscopies performed in Central Denmark Region within 60 days of a positive FIT-result from 1 July 2015 through 30 June 2017. The participants were the colonoscopists, performing these procedures. The quality indicators cecal intubation rate (CIR), PDR, polyp retrieval rate (PRR), ADR and withdrawal time (WT) were evaluated. ADR/PDR ratios were calculated. Results: The concordance between the recorded data and the colonoscopy reports showed Kappa values in the range of 0.47-0.97. The overall CIR was 90.6% (range 73.7%-100%), PDR: 51.9% (range 18.4%-70.2%), PRR: 94.6% (range 69.6%-100%), ADR (conventional adenomas): 50.6% (range 18.4%-70.2%), ADRx (conventional adenomas, traditional serrated adenomas and sessile serrated lesions with dysplasia): 50.9% (range 18.4%-70.2%) and the mean WT was 11.3 min (range 4.5-24.9 min). The ADR/PDR ratio was 92.8% (95% CI: 92.0%-93.6%) and the ADRx/PDR ratio was 93.2% (95% CI: 92.4%-93.9%). Conclusion: Data quality was generally high. We found considerable variation in performance indicators between colonoscopists reflecting the potential for improvement. Further, our findings revealed that the PDR might be a good proxy for ADR in the context of the prevalent round of FIT-based CRC screening programs.
Related Concept Videos
Indicators
Prevalence and Incidence
Prevalence indicates the proportion of individuals in a population who have a specific disease or health...
Statistical Methods to Analyze Parametric Data: Student t-Test and Goodness-of-Fit Test
The Student's t-test is a statistical test that examines if there is a statistically significant difference between the means of two groups. This test is instrumental when dealing with...
Endoscopic Procedures II: Colonoscopy
Cardiovascular Drugs: Classification based on Therapeutic Indications
Performing a Simple Data Analysis using MS-Excel Function
SUM: This function calculates the total sum of a range of values. It's the foundation for aggregating data, essential for determining overall trends and totals in datasets.
AVERAGE: It computes the mean value of a given set of numbers, providing a quick insight into the central...

