Does alvimopan enhance return of bowel function in laparoscopic gastrointestinal surgery? A meta-analysis.
Bibliographic record
Abstract
BACKGROUND: Postoperative ileus (POI) remains a major impediment in patient recovery and leads to longer lengths of stay at the hospital, readmission rates, and hospital costs. Alvimopan, a mu-opioid receptor antagonist, lowers POI incidence following open gastrointestinal surgery, however, little is known about its role on POI prevention among patients undergoing laparoscopic gastrointestinal surgery. METHODS: A comprehensive search of PubMed/MEDLINE, Scopus, CINAHL, and Cochrane databases was performed (December 2014). Meta-analysis was performed using the Mantel-Haenszel (fixed effects) model with odds ratio (OR) to assess prevention of POI and hospital readmission. RESULTS: Five studies were included in the final analysis. Pooling 4 of 5 studies, there was over a 75% relative risk reduction in POI development when patients were given alvimopan compared to placebo (OR 0.24, 95%CI 0.12-0.51, P=0.02). The number needed to treat with alvimopan to prevent one POI episode was 11 patients. There was a modest reduction in the length of hospitalization between 0.2 and 1.6 days. There did not appear to be a difference in frequency of 30-day readmission rate among the alvimopan group compared to placebo (OR 1.15, 95%CI 0.54-2.45, P=0.62). CONCLUSION: Overall, there was a 75% relative risk reduction in POI development among patients undergoing laparoscopic gastrointestinal surgery. However, there did not appear to be a significant reduction in all-cause 30-day readmission rate or length of hospitalization. Future studies will need to address which subset of patients undergoing laparoscopic gastrointestinal surgery will benefit most from alvimopan.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".