Evaluation of the efficacy of polyethylene glycol in combination with different doses of linaclotide in a fractionated bowel preparation for colonoscopy: a prospective randomized controlled study
Bibliographic record
Abstract
BACKGROUND AND AIM: The ideal bowel cleansing program still needs to be explored. The aim was to compare the bowel cleansing effect and patient tolerance of low-dose polyethylene glycol (PEG) combined with different doses of linaclotide in fractionated bowel preparation. METHODS: The subjects were randomly assigned to the 3LPEG group, 2LPEG + 2L group, or 2LPEG + L group. The primary outcome was to use the Ottawa Bowel Preparation Scale (OBPS) to evaluate the efficacy of bowel cleansing, and the secondary outcomes were the detection rate of adenomas and polyps, adverse reactions, tolerance, and defecation dynamics; subsets of patients with chronic constipation and irritable bowel syndrome were also analyzed. RESULTS: A total of 753 patients were randomly assigned. In ITT analysis, the success of preparation of the 2LPEG + 2L group was better than that of the 2LPEG + L group or the 3LPEG group (92.0% vs. 82.3% vs. 82.1%; P = 0.002). Compared with the 3LPEG group, the 2LPEG + L group showed similar but non-inferior results (82.3% vs. 82.1%, P > 0.05). The 2LPEG + 2L group was similar to the 2LPEG + L group in terms of adverse reaction, tolerance, willingness to reuse, and sleep quality, but both were superior to the 3LPEG group. In a subgroup analysis of chronic constipation, the 2LPEG + 2L group had the best cleansing effect on the right colon and mid colon, while in the subgroup analysis of irritable bowel syndrome, the tolerance was better in the 2LPEG + 2L group and the 2LPEG + L group than the 3LPEG group. CONCLUSIONS: 2LPEG + 2L is a feasible bowel preparation regimen.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 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 | 0.000 |
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".