Reduction in Adhesive Small-Bowel Obstruction by Seprafilm® Adhesion Barrier After Intestinal Resection
Bibliographic record
Abstract
INTRODUCTION: Although Seprafilm has been demonstrated to reduce adhesion formation, it is not known whether its usage would translate into a reduction in adhesive small-bowel obstruction. METHODS: This was a prospective, randomized, multicenter, multinational, single-blind, controlled study. This report focuses on those patients who underwent intestinal resection (n = 1,701). Before closure of the abdomen, patients were randomized to receive Seprafilm or no treatment. Seprafilm was applied to adhesiogenic tissues throughout the abdomen. The incidence and type of bowel obstruction was compared between the two groups. Time to first adhesive small-bowel obstruction was compared during the course of the study by using survival analysis methods. The mean follow-up time for the occurrence of adhesive small-bowel obstruction was 3.5 years. RESULTS: There was no difference between the treatment and control group in overall rate of bowel obstruction. The incidence of adhesive small-bowel obstruction requiring reoperation was significantly lower for Seprafilm patients compared with no-treatment patients: 1.8 vs. 3.4 percent (P < 0.05). This finding represents an absolute reduction in adhesive small-bowel obstruction requiring reoperation of 1.6 percent and a relative reduction of 47 percent. In addition, a stepwise multivariate analysis indicated that the use of Seprafilm was the only predictive factor for reducing adhesive small-bowel obstruction requiring reoperation. In both groups, 50 percent of first adhesive small-bowel obstruction episodes occurred within 6 months after the initial surgery with nearly 30 percent occurring within the first 30 days. Additionally no first adhesive small-bowel obstruction events were reported in Years 4 and 5 of follow-up. CONCLUSIONS: The overall bowel obstruction rate was unchanged; however, adhesive small-bowel obstruction requiring reoperation was significantly reduced by the use of Seprafilm, which was the only factor that predicted this outcome.
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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 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".