Comparision of Single Versus Split-dose of Polyethylene Glycol-electrolyte Solution for Colonoscopy Preparation
Bibliographic record
Abstract
Background/Aims: Although polyethethylene glycol (PEG) solution is widely used for bowel preparation, it is difficult to drink a large amount of fluid in a short period of time. We compared the quality of bowel preparation and compliance between the single-dose group and split-dose group. Methods: Two hundred seventeen patients undergoing outpatient colonoscopy were randomly assigned to receive either 4 litre (L) of PEG solution (n=104, single dose group) on the day of colonoscopy or 2 L of PEG solution on the day before colonoscopy and then 2 L of same solution on the day of colonoscopy (n=113, split dose group). The quality of bowel preparation was assessed using Ottawa scale. Cecal intubation time, compliance and side effects were assessed. Results: Split-dose group showed the better quality of bowel preparation than single- dose group (4.752.45 vs 5.522.24, p＜0.05) because of lower residual volume scale. Patients who experienced very difficulty during ingestion (0.95% vs 5.8%) and left out more than 25% of PEG solution (3.5% vs 8.7%) were greater in single-dose group. There was no difference of side effects between two groups. Conclusions: Split-dose PEG preparation could be the useful method in than single-dose in colonoscopy preparation.
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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 | 0.004 |
| 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) | 0.003 | 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".