Validated Scales for Colon Cleansing: A Systematic Review
Bibliographic record
Abstract
OBJECTIVES: Bowel cleanliness is a critical determinant of colonoscopy quality, mandating its standardized assessment, yet bowel preparation scales have been variably validated. The objective of this study was to assess validity and reliability of existing bowel preparation scales. METHODS: A systematic review of literature from January 1980 to January 2015 was performed. Main outcomes of this study are face, content, construct, and criterion validity, and inter- and intra-observer reliability measured by associations, interclass correlations (ICC) or κ-coefficients. RESULTS: Fourteen citations assessed seven scales. The Aronchick Scale, showed fair-to-substantial inter-observer reliability (ICC=0.31-0.76), and was the reference for subsequent validity testing. The Ottawa Bowel Preparation Quality Scale revealed superior inter-observer reliability (ICC=0.94). Five studies assessed the Boston Bowel Preparation Scale (BBPS). Increasing BBPS scores were associated with polyp detection (left colon: odds ratio (OR)=2.58 (1.34; 4.98), right colon: OR=1.6 (1.01; 2.55), less repeat colonoscopies (cutoff of 5, P<0.001), and shorter insertion/withdrawal times (P<0.001), while displaying substantial to excellent inter- and intra-observer reliability (ICC=0.74-0.91). Criterion validity of the Harefield Cleansing Scale (HCS) yielded slight-to-moderate expert-investigator agreement (ICC=0.15-0.46); HCS grades were not discriminant for adenoma detection. Inter- and intra-observer reliabilities were fair-to-moderate (ICC=0.46 (0.37; 0.54) and κ=0.28, respectively). The Chicago Bowel Preparation Scale displayed excellent inter-observer reliability (Pearson's r=0.84 (0.79; 0.88)), yet has been less studied. CONCLUSIONS: To conclude, all the published scales displayed limitations. The BBPS is the most thoroughly validated scale and should be used in a clinical setting. Between-scale comparisons for repeat colonoscopy time interval, ease, and pertinence of use for auditing are needed.
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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 | 0.021 | 0.112 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.009 |
| Bibliometrics | 0.017 | 0.015 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".