P450 Reliability assessment of endoscopic scoring tools using central video review of colonoscopies in paediatric patients with ulcerative colitis: data from the Canadian Children IBD Network
Bibliographic record
Abstract
Background: Reliable and consistent endoscopic assessment of mucosal disease severity is important in the evaluation of patients with Ulcerative Colitis (UC). Of the commonly used assessment tools, the Ulcerative Colitis Endoscopic Index of Severity (UCEIS) is likely more responsive to change than the Mayo Endoscopic Score (Mayo-ES). Neither have been formally evaluated in paediatric patients. Using videos of colonoscopies performed in patients from the Canadian Children IBD Network, we undertook to assess inter-rater reliability (IRR) for the UCEIS and Mayo-ES amongst Pediatric IBD physicians familiar with the tools, as well as non-IBD pediatric gastroenterologists. Methods: Video recordings of ileo-colonoscopies of paediatric patients with UC undergoing endoscopic assessment at Network sites were utilised for the analysis. 8 physicians (4 IBD experts) reviewed the videos, blinded to clinical information, collecting data encompassing the UCEIS and Mayo-ES. A global assessment of endoscopic lesion severity (GELS) was also recorded using a visual analogue scale. IRR was measured using Intraclass correlation coefficients (ICCs). Correlation between scoring tools was measured using Spearman's test of correlation (r). Results: There was a broad range of endoscopic severity within the endoscopic assessments (median UCEIS 6 (range: 3 to 8). The IRR for both Mayo-ES and UCEIS was excellent amongst IBD physicians. However, whilst the IRR for Mayo-ES was very good amongst non-IBD gastroenterologists, for UCEIS it was only moderate (see table). Amongst IBD physicians, there was good correlation between the UCEIS score and Mayo-ES (r=0.75, p<0.001), as well as between each score and the GELS (Mayo ES: r=0.78, p<0.001; UCEIS: r=0.72, p<0.001). Within the 3 items of the UCEIS, the most common sources of disagreement between readers were estimation of the degree of bleeding by all physicians, and evaluation of erosions/ulcers by non-IBD gastroenterologists (see table). Table 1. Inter-rater reliability using ICC of UCEIS and Mayo Endoscopic Score for IBD physicians and non-IBD gastroenterologists Conclusions: Centralised video review of colonoscopy is feasible for assessing endoscopic severity in paediatric UC. Assessment of the scoring tools (UCEIS and Mayo-ES) using video recordings showed excellent IRR in the hands of IBD physicians familiar with the tools. For non-IBD gastroenterologists, IRR of the Mayo-ES was good, however reliability with the UCEIS score was poorer, perhaps reflective of unfamiliarity with the tool. Repeat assessments following training in the application of the tool are planned.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.028 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".