Aquanet Bowel Cleansing Device Versus Oral Sodium Picosulfate for Pre-Endoscopy Bowel Preparation: Propensity Score Analysis for Interventional Effectiveness Evaluation
Bibliographic record
Abstract
BACKGROUND: Colonoscopy procedures are commonly performed and have high success rates. However, poor or inadequate bowel preparation is one of the most common reasons for a repeated or failed colonoscopy. We therefore performed an observational study followed by propensity score modeling to evaluate and compare the quality of bowel preparation with the use of Aquanet bowel cleansing devices (BCDs) versus the use of oral sodium picosulfate solution. METHODS: We performed a prospective cross-sectional study to compare the quality of pre-endoscopic bowel preparation using a BCD with oral solution. Our major outcome of interest was the quality of bowel preparation as measured through the Boston bowel preparation (BBP) scale. Our main predictor was the method of bowel preparation. The bowel was prepared using either sodium picosulfate or the BCD. RESULTS: A total of 314 participants were part of this study. The average age of the participants was 54 years and most of the participants were females (81%). Sodium picosulfate was associated with better scores at each segment. After propensity scoring with a 1:1 match and further adjusting for the unbalanced variable (age), we found that despite the apparent superior cleansing performance of sodium picosulfate over the BCD, the difference was not statistically significant. CONCLUSION: This study reinforces previous reports regarding the quality, safety and comfort of BCDs, indicating that this technique should be considered for colonoscopy preparation. In the future, randomized controlled trials should be performed to validate these preliminary findings.
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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 | 0.016 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.007 |
| 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) | 0.004 | 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".