Validation of a New Bowel Preparation Scale for Measuring Colon Cleansing for Colonoscopy: The Chicago Bowel Preparation Scale
Bibliographic record
Abstract
OBJECTIVES: Current bowel preparation scales (BPSs) have significant limitations including an inability to distinguish among bowel preparations that adequately cleanse a high percentage of colons. We assessed the reliability and validity of the new Chicago BPS and compared it with existing BPSs. METHODS: We performed a prospective evaluation of the cleanliness of 150 colons. Inter-rater agreement was assessed using kappa and Pearson correlation coefficients. Each colon was rated by a gastroenterologist and physician's assistant using the Ottawa BPS, the Boston BPS, a dichotomous (adequate/inadequate) BPS (where adequate was defined as being able to visualize at least 95% of the mucosa), and the Chicago BPS. RESULTS: Pearson correlation coefficients between the gastroenterologists and physician's assistant for total BPS scores were 0.79 (95% confidence interval (CI): 0.73, 0.85), 0.79 (95% CI: 0.72, 0.84), and 0.84 (95% CI: 0.79, 0.88) for the Ottawa, Boston, and Chicago BPSs, respectively. Kappa coefficients for right, middle, and distal colon segment ratings were 0.66, 0.53, and 0.49, respectively, for the Ottawa BPS; 0.64, 0.66, and 0.54, respectively, for the Boston BPS; and 0.70, 0.62, and 0.63, respectively, for the Chicago BPS. Differences between the Chicago BPS and the other BPSs were not statistically significant. The Chicago BPS exhibited the best correspondence between BPS total score and the adequate/inadequate BPS. CONCLUSIONS: This study demonstrated the validity and reliability of the Chicago BPS. The better defined grading criteria, better designed numerical ratings scale, and better correspondence between Chicago BPS total score and the adequate/inadequate BPS make the Chicago BPS an attractive alternative to the Ottawa BPS and the Boston BPS.
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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 | 0.008 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".