The use of low-volume polyethylene glycol containing ascorbic acid versus 2 L of polyethylene glycol plus bisacodyl as bowel preparation for colonoscopy
Bibliographic record
Abstract
OBJECTIVE: Low-volume polyethylene glycol (PEG) bowel preparations have been developed to improve compliance for colonoscopy. Our study aimed to compare the efficacy and tolerability of low-volume PEG containing ascorbic acid for colonoscopy against 2 L of PEG plus bisacodyl. METHODS: We prospectively enrolled consecutive inpatients who had not undergone polypectomy at the index colonoscopy and were subsequently referred for polypectomy at our hospital. A total of 62 patients were randomized to receive either low-volume PEG containing ascorbic acid (n = 31) or 2 L of PEG plus bisacodyl (n = 31) as a split-dose regimen in inpatients. The efficacy of preparation was determined using the Ottawa Bowel Preparation Score (OBPS) and a 4-point scale. Adverse events, tolerability, and willingness were evaluated using a questionnaire. RESULTS: Based on the OBPS and 4-point scale, we determined that the efficacy of low-volume PEG containing ascorbic acid was comparable to that of the 2 L of PEG plus bisacodyl (p = 0.071 for OBPS, p = 0.056 for the 4-point scale). Adverse events were comparable between the two groups (p = 1.000). A greater proportion of patients in the low-volume PEG containing ascorbic acid (90.6%) and the 2L of PEG plus bisacodyl (96.9%) were willing to repeat the same preparation for subsequent colonoscopy. CONCLUSION: Low-volume PEG containing ascorbic acid had comparable efficacy and tolerability to 2 L of PEG plus bisacodyl, when given as a split dose, for colonoscopy in inpatients. Split-dose low-volume PEG containing ascorbic acid is a good alternative for bowel preparation for colonoscopy in inpatients.
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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 | 0.001 | 0.001 |
| 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 | 0.000 |
| 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".