The New Jersey Bowel Preparation Scale: A More Objective and Detailed Scoring System for Screening Colonoscopies
Bibliographic record
Abstract
GOALS: The goal of this study was to develop an objective and detailed scoring system to assess the quality of bowel preparation. BACKGROUND: The quality of bowel preparation impacts the success of the colonoscopy. We developed and compared a new bowel preparation scoring system, the New Jersey Bowel Preparation Scale (NJBPS), with existing systems that are limited by a lack of detail and objectivity in the Boston Bowel Preparation Scale (BBPS) and the Ottawa Bowel Preparation Scale (OBPS). METHODS: This was a single-center, prospective, dual-observer study performed at Rutgers New Jersey Medical School University Hospital. Patients who were at medium risk for colorectal cancer and undergoing outpatient screening colonoscopy were enrolled in the study, and their bowel preparation was assessed separately by an attending and a fellow using each of the bowel preparation scoring systems. RESULTS: 98 patients were analyzed in the study, of which 59% were female. Most of the patient population was African American (65%) or Hispanic (25%). The average age of the patient was 60 years. Chi-squared analysis using SPSS software revealed intraclass correlation coefficient values between attending and fellow scores for each scale. The NJBPS had the highest value at 0.988, while the BBPS and OBPS had values of 0.883 and 0.894. LIMITATIONS: Single-center study. CONCLUSIONS: The NJBPS and BBPS scores demonstrated a statistically significant agreement with each other. Overall, there was good interobserver agreement for all three scoring systems when comparing attendings to fellows for the same scoring system. However, the NJBPS possessed a stronger correlation.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".