Defining Benchmarks for Adenoma Detection Rate and Adenomas Per Colonoscopy in Patients Undergoing Colonoscopy Due to a Positive Fecal Immunochemical Test
Bibliographic record
Abstract
OBJECTIVES: Although there is an accepted benchmark for adenoma detection rate (ADR) in average risk screening colonoscopy, a benchmark for ADR or the associated quality indicator, adenomas per colonoscopy (APC), for colonoscopies performed for a positive fecal immunochemical test (FIT+) has not been established. The purpose of this study was to propose methods for establishing a benchmark ADR and APC for FIT+ patients. METHODS: In this historical cohort study, we included 15,329 patients aged 50-74 years who underwent a colonoscopy at Alberta Health Services' Colon Cancer Screening Centre, Calgary, Canada, from 1 January 2014 to 30 June 2015 for either investigation of a positive FIT or average risk screening. Using meta-regression, we estimated for FIT+ patients the ADR and APC that corresponded to (Method #1: minimally acceptable) an ADR of 25% in average risk individuals, (Method #2: standard of care) the average ADR or APC in all FIT+ patients, and (Method #3: aspirational) the average FIT+ ADR or APC in colonoscopies performed by endoscopists with an ADR of ≥35% in average risk patients. RESULTS: At least one adenoma was detected in 30% of average risk patients and 58% of FIT+ patients. The calculated benchmark FIT+ ADRs for the three methods were 55, 60, and 65%, respectively. The calculated benchmarks for FIT+ APC were 1.2, 1.4, and 1.7, respectively. To account for expected random variation in individual endoscopists' ADR or APC, we propose using the upper bound of the 95% confidence interval of an endoscopist's ADR or APC to determine if they fall below a given benchmark. CONCLUSIONS: We have proposed methods of defining benchmarks for ADR and APC in FIT+ patients that go beyond the current "minimally acceptable" threshold currently recommended in average risk patients. These new thresholds represent results obtained by all peers and by a group of expert adenoma detectors defined in an independent patient cohort (average risk). Because the true adenoma burden in FIT+ patients could vary based on factors such as the threshold used to define a positive FIT, screening programs or endoscopy units may need to calculate their own benchmarks using local data.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".