A Randomized Study Comparison between Split Dosage and Non-Split Dosage PEG-Electrolyte Solution Preparation Methods for Elective Colonoscopy
Bibliographic record
Abstract
Background: A two liters low volume polyethylene glycol (PEG) electrolyte solution preparation was proposed for improving patients’ tolerability with either split or non-split dosage cleansing method. Patient compliance, adverse experiences, and cleansing efficacy of each anatomical segment of the colon using both methods should be determined. Objective: To assess the cleansing efficacy of split dosage versus non-split dosage PEG-electrolyte solution for each anatomical segment of the colon according to the inverted Ottawa bowel preparation scale. Materials and Methods: The present study was a prospective, randomized, endoscopist-blinded study. Volunteers that underwent elective screening colonoscopy were eligible for recruitment into the present study. Patients having any contraindication for colonoscopy, or the use of PEG-electrolyte solution such as bowel obstruction, intestinal perforation, or toxic megacolon were excluded. Cleansing efficacy was evaluated by the inverted Ottawa bowel preparation scale for each anatomical segment of the colon. Medical adherence and compliance were evaluated. Participants were asked to rate their satisfaction and inform the presence of any adverse experiences related to the bowel preparation method. Results: Ninety-four volunteers were randomly assigned to two groups. Of these, 46 received the split dosage cleansing method and 48 received the non-split dosages cleansing method. Overall compliance was approximately 94%, comparable for both preparation methods. Average age was 61.5 years for non-split dosage and 60.4 for split dosage group. Satisfaction score in the non-split dosage group was 8.46, which was not significantly different from 8.56 of the split dosage group (p=0.934). Split dosage PEG-electrolyte solution provided comparable degree of cleansing as standard non-split dosages preparation for transverse, descending, sigmoid, and rectum. However, split dosage provided significantly superior cleansing results over the non-split dosages method for ascending colon at good or excellent with 84.7% versus 47.9% (p<0.01), and caecum at good or excellent for 76.1% versus 41.7% (p<0.01) based on the inverted Ottawa bowel preparation scale. Conclusion: Split dosage PEG-electrolyte solution method provided significantly superior cleansing results over the non-split dosages method for right-side colon with comparable satisfaction score and rate of adverse events. Keywords: Bowel preparation; Split dosage cleansing; Quality of bowel preparation
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".