Bowel preparation efficacy and discomfort of 2 L polyethylene glycol combined with linaclotide versus 3 L polyethylene glycol: a noninferiority, prospective, multicenter, randomized controlled trial
Bibliographic record
Abstract
Background: Three liters of polyethylene glycol administered in a split dose is a commonly recommended regimen for bowel preparation before colonoscopy. Objectives: The aim of this study was to compare the quality and tolerability of low-dose (2 L) polyethylene glycol combined with linaclotide (2 L+L) versus the 3 L polyethylene glycol (PEG) bowel preparation regimen. Design: A noninferiority, prospective, multicenter, randomized controlled trial. Methods: In this noninferiority, prospective, multicenter, randomized controlled study, patients scheduled for colonoscopy were enrolled and randomized to receive a 3 L PEG or 2L PEG+L regimen. The quality of bowel preparation and patients’ discomfort was assessed. Results: Over 12 months, 458 patients were randomized into 3 L PEG and 2 L+L groups. The primary endpoints showed that the 2 L+L regimen was superior to the 3L PEG regimen in overall bowel cleansing scores (Ottawa Bowel Preparation Scale: 3.3 ± 2.1 vs 3.7 ± 2.1, p = 0.021), but no significant difference in adequate bowel preparation rate between the two groups according to the OBPS score (97% vs 97.4%, p = 0.791). Before colonoscopy, patients in the 2 L +L regimen group had lower bloating scores (0.5 (0, 2) vs 1 (0, 3), p = 0.013), discomfort scores (1 (0, 2) vs 1 (0, 3), p = 0.006), and intolerability scores (1 (0, 3) vs 2 (0, 4), p = 0.016) than did those in the 3L PEG group. Conclusion: Two liters of polyethylene glycol combined with linaclotide may be an alternative regimen to 3 L of PEG taken in split doses for bowel preparation before colonoscopy. Trial registration: ChiCTR2100041992.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".