Bowel Preparation Scales: When Glasses Become More Important Than the View: Presidential Poster
Bibliographic record
Abstract
Introduction: Clinical trials assessing efficacy of colon preparations have relied on a number of validated scales varying in complexity from a simple global rating scale to more complex composite scale with segmental assessment. Few trials have examined inter-and intraobserver variability to confirm reproducibility and concordance between examiners or between scales. These trials have suffered important limitations including use of few standardized videos, truncated recordings, and assessment in a research setting where only a specific scale range is selected. We aimed to evaluate the validity, reliability, and concordance of the 3 most commonly used bowel preparation scales in assessing colon cleansing. Methods: Elective colonoscopies were prospectively examined in the context of a clinical trial. Quality was scored by 4 certified gastroenterologists and 2 senior fellows using modified Aronchick scale, Ottawa bowel preparation scale, and Boston bowel preparation scale. Agreement on adequacy between scales was performed using the modified kappa (k) statistic. Adequacy was defined as excellent or good for the Aronchick, ≤7 for the Ottawa, and ≥5 for Boston. To assess intra and interrater variability, 20 procedures were recorded. Nontruncated videos were subsequently watched ≥1 month later and graded by the 6 endoscopists. To standardize comparison across all scores to 5 categories each, Boston and Ottawa scores were uniformly re-categorized 2:1 and 3:1, respectively. Weighed k testing was used to measure agreement. Krippendorff ’s alpha intraclass correlation coefficient (α) measured concordance with values <0.4 interpreted as fair to poor, 0.4-0.6 as moderate, 0.6-0.8 as substantial, and >0.8 as excellent agreement. Results: One hundred ninety-eight colonoscopies were assessed using the Aronchick, Ottawa, and Boston scales. Agreement between the 3 scales was poor overall (α=0.32; 95% CI 0.03, 0.57) with pairwise concordance of: Ottawa and Boston (poor, α =0.08), Aronchick and Boston (moderate, α =0.51), and Aronchick and Ottawa (fair, α=0.37). Interrater agreement was substantial for Boston (α = 0.63; 95% CI 0.55, 0.70) and moderate for Aronchick (α=0.59; 95% CI 0.52, 0.66) and Boston (α =0.58; 95% CI 0.51, 0.65). Intrarater agreement was substantial in case of Ottawa (k=0.61±0.14; p<.001), and poor for both Aronchick (k=0.36±0.15; p=0.005), and Boston (k=0.34±0.15; p=0.03). Of note, when discordance occurred it did not exceed 1 category. Conclusion: Currently used preparation adequacy scales vary widely and exhibit substantial discordance. This is likely due to quality of descriptions and the multiple utilized item decision-making processes. A new bowel preparation scale that reliably and reproducibly defines adequacy of preparations is needed.
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 | 0.003 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.029 | 0.007 |
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".