Effects of Hyperosmolar Agents – Lactulose, Lactitol, Sodium Phosphate and Polyethylene Glycol – on Cecal Coliform Bacteria during Traditional Bowel Cleansing: An Experimental Study in Rats
Bibliographic record
Abstract
Mechanical bowel cleansing is considered to be necessary prior to colorectal surgery, some radiological or endoscopic procedures, and for fecal disimpaction. Traditional bowel cleansing (TBC) with cathartics and enemas is a method of mechanical bowel cleansing for patients who have restrictive factors for whole-bowel irrigation (WBI), such as excessive fecal impaction, cardiac, hepatic or renal disorders. In this experimental study, TBC with hyperosmolar agents was evaluated in terms of their effects on colonic flora and bacterial translocation (BT). Sprague-Dawley rats were divided into 6 groups. The animals, except controls, were not fed for 72 h but received tap water ad libitum. During this period, lactulose, lactitol, sodium phosphate (NaP), polyethylene glycol 3350 (PEG3350) and physiological saline gavages were administered to the rats in groups 1-5, respectively, once a day. All animals except controls (group 6) received enemas with 15 ml of warm saline twice a day. The cecum, mesenteric lymph nodes (MLNs) and portal vein blood were sampled for microbiological and histopathological analysis. The highest level of coliform bacterial overgrowth and BT to MLNs were observed in the lactulose group, although the others, except the saline and control groups, also caused some degree of BT. Portal vein cultures were negative for all groups. Histopathological damage was not associated with cecal bacterial count and BT. As a result of this study, PEG3350 seems to be safer and more effective than lactulose, lactitol and NaP during TBC.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".