Bowel preparation quality between hospitalized patients and outpatient colonoscopies
Bibliographic record
Abstract
Background/Aims: Optimal bowel preparation is essential for a complete high-quality colonoscopy. We sought to determine whether an inpatient, as opposed to an ambulatory setting, would affect the quality of bowel preparation. Patients and Methods: A retrospective chart review was conducted in a tertiary care university hospital. We collected demographic data from consecutive patients who underwent a colonoscopy for any reason between August 2007 and April 2012. Results: A total of 2999 patients were included in the study with a mean age of 50.36 (95%CI; 49.79-50.94). Males comprised 58.12%. Ambulatory patients had a higher rate of good bowel preparations (67.23% vs. 56.64%, P value < 0.01), a lower rate of poor bowel preparations (18.22% vs. 27.14%, P value < 0.01), and a higher rate of colonoscopy completion (86.79% vs. 77.59%, P value < 0.01). There was no difference between the rates of polyps detected (18.90% vs. 20.83%, P value = 0.22). The univariabe modeling factors associated with a sub-optimal bowel preparation were age OR 1.02 (95% CI, 1.01 to 1.02), chronic kidney disease OR 2.34 (95% CI, 1.12 to 4.88), diabetes mellitus OR 2.00 (95% CI, 1.50 to 2.68), hypertension OR 1.48 (95% CI, 1.11 to 1.97), anemia OR 1.81 (95% CI, 1.33 to 2.47), and weight loss OR 1.41 (95% CI, 1.01 to 1.96). Better bowel preparation was associated with colonoscopies performed in the outpatient setting OR 0.63 (95% CI, 0.54 to 0.73). Conclusion: Bowel preparation quality is affected by the setting in which it is performed. This result suggests that, when appropriate, colonoscopies should be performed on an outpatient basis. Further studies are required to replicate this finding.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".