Document Type
Article
Publication Date
1-1-2023
Abstract
Background and study aims We assessed sessile serrated lesion detection rate (SSLDR) at a large academic medical center from 2008 to 2020 and modeled a local, aspirational target SSLDR. We also assessed SSLDRs among all gastroenterology fellows to better understand the relationship between SSLDRs and total colonoscopies performed.
Patients and methods SSL-positive pathology results were flagged from a dataset composed of all screening colonoscopies for average-risk patients from 2008 to 2020. Unadjusted SSLDRs were calculated for individual endoscopists by year. A mixed effects logistic regression was used to estimate the log odds of SSL detection, with one model estimating division-wide predictors of SSL detection and a second model focused exclusively on colonoscopies performed by fellows. Model-adjusted SSLDRs were estimated for all 13 years and across both categories of all endoscopists and fellows only.
Results Adjusted SSLDRs showed a consistent improvement in SSLDR from a low of 0.37 % (95 % confidence interval [CI]: 0.10–0.63) in 2008 to a high of 7.94 % (95 % CI: 6.34–9.54) in 2020. Among fellows only, the odds of SSL detection were significantly lower during their first year compared to their second year (OR: 0.80, 95 % CI: 0.66–0.98) but not significantly higher in their third year compared to their second year (OR: 1.09, 95 % CI: 0.85–1.4).
Conclusions SSLDR increased steadily and significantly throughout our study period but variance among endoscopists persists. The peak SSLDR from 2020 of 7.94 % should serve as the local aspirational target for this division’s attendings and fellows but should be continuously reevaluated.
Publication Title
Endosc Int Open
ISSN
2364-3722
Volume
11
Issue
1
First Page
107
Last Page
107
DOI
10.1055/a-1990-0509
Recommended Citation
Edwardson N, Adsul P, Gonzalez Z, Pankratz VS, Parasher G, English K, Mishra S. Sessile serrated lesion detection rates continue to increase: 2008-2020. Endosc Int Open. 2023 Jan 26;11(1):E107-E116. doi: 10.1055/a-1990-0509. PMID: 36712908; PMCID: PMC9879655.
Comments
This work was supported by the National Cancer Institute of the National Institutes of Health, grants R01CA192967 (Mishra, PI) and 3P30CA118100-16S4 (Tomkinson PI, Mishra, PD), and the Biostatistics Shared Resource of the University of New Mexico Comprehensive cancer Center, USA