High‐ Versus Low‐Volume Polyethylene Glycol Plus Laxative Versus Sennosides for Colonoscopy Preparation in Children
Bibliographic record
Abstract
OBJECTIVE: Many protocols of bowel preparation are available for use in children; however, none of them is commonly accepted. The aim of the study was to evaluate the efficacy and acceptability of high-volume polyethylene glycol (PEG) versus low-volume PEG combined with bisacodyl (BPEG) versus sennosides for colonoscopy preparation in children. METHODS: Participants ages 10 to 18 years were randomly assigned to receive either PEG 60 or PEG 30 mL kg⁻¹ day⁻¹ plus oral bisacodyl 10 to 15 mg/day or sennosides 2 mg kg⁻¹ day⁻¹ for 2 days. A blinded assessment of bowel cleansing was made by the endoscopist according to the Aronchick and Ottawa scales. Patient acceptability was evaluated with the visual-analog scale. Analysis was done on an available case analysis basis. RESULTS: Of 240 patients enrolled in the study 234 patients were available for analysis of the efficacy of colon cleansing. There were no significant differences found among the 3 groups for the proportions of participants with excellent/good (PEG: 35/79, BPEG: 26/79, sennosides 25/76) and poor/inadequate (PEG: 20/79, BPEG: 28/79, sennosides 28/76) bowel preparation evaluated with the Aronchick scale and for the mean Ottawa total score (PEG: 5.47 ± 3.63, BPEG: 6.22 ± 3.3, sennosides: 6.18 ± 3.53). Acceptability of bowel cleansing protocol was similar in all of the groups (P = 0.8). CONCLUSIONS: All 3 cleansing methods showed similar efficacy and tolerability; however, none of them was satisfactory.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".