Can nutritional supplements and rectal enema be used as bowel cleansing for colonoscopy? – results of a randomized controlled pilot study
Bibliographic record
Abstract
OBJECTIVE: Currently available preparations for colonoscopy have low tolerability and may cause fluid and electrolyte shifts. An alternative method of bowel cleansing is required. MATERIAL AND METHODS: Preparation of the gut using oral nutritional supplements (ONS) and rectal enema was tested as an alternative method of bowel cleansing. During 2008-2012, patients were randomized to oral nutritional supplements (n = 27) for 5 days and rectal enema or polyethylene glycol (PEG) (n = 23) prior to colonoscopy. Blinded endoscopists rated the degree of bowel cleansing according to the Ottawa bowel preparation scale (OBS) (primary outcome). Tolerability of either preparation was also assessed RESULTS: Due to a high rate of bowel cleansing failure among patients receiving ONS, the study was interrupted prematurely. Colonoscopies were incomplete due to stools in 6 of 27 patients in the ONS group compared to 1 of 23 in the PEG group (ns). The mean total OBS were 8.3 ± 3.3 and 5.3 ± 2.8, respectively (p = 0.002). Four patients (15%) in the ONS group and eight patients (35%) receiving PEG had an OBS score ≤4 (good preparation) (ns). ONS was better tolerated than PEG with more patients reporting acceptable taste (27 of 27 [100%] vs. 15 of 23 [65%], p = 0.001), and fewer reporting difficulties with the intake (0 of 27 [0%] vs. 10 of 23 [43%], p < 0.001) and nausea (5 of 27 [19%] vs. 13 of 23 [57%], p < 0.008). CONCLUSIONS: For routine use, ONS with enema instead of traditional preparation for colonoscopy with PEG cannot be generally recommended.
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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 | 0.008 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".