Impact of the Acute Care Surgery Model on Disease- and Patient-Specific Outcomes in Appendicitis and Biliary Disease: A Meta-Analysis
Bibliographic record
Abstract
BACKGROUND: The acute care surgery (ACS) model was developed to acknowledge the complexity of a traditionally fractured emergency general surgery patient population, however, there are variations in the design of ACS service models. This meta-analysis analyzes the impact of implementation of different ACS models on the outcomes for appendicitis and biliary disease. STUDY DESIGN: A systematic, English-language search of major databases was conducted. From 1,827 papers, 2 independent reviewers identified 25 studies that reported on outcomes for patients with appendicitis (n = 13), biliary disease (n = 7), or both (n = 5), before and after implementation of an ACS service. The Newcastle-Ottawa Scale was used to score quality. Outcomes were analyzed using random effect methodology and sensitivity analyses were performed. RESULTS: Significant heterogeneity existed between studies and ACS designs. The overall study quality rating was fair to poor with a moderate risk of bias. After implementation of an ACS service, there was an overall reduction in length of stay by 0.51 days (95% CI -0.81 to -0.20 days) and 0.73 days (95% CI 0.09 to 1.36 days) for appendicitis and biliary disease, respectively. Complication rates were lower after implementing ACS (odds ratio 0.65; 95% CI 0.49 to 0.86 and odds ratio 0.46; 95% CI 0.34 to 0.61). There was no difference in after-hours operating for either appendicitis or biliary disease, except when considering ACS models with dedicated theater time, which favors an ACS model (odds ratio 0.49; 95% CI 0.33 to 0.73) in appendicitis. CONCLUSIONS: The ACS model has been shown to benefit acute care surgery patients with improved access to care, fewer complications, and decreased length of stay for 2 common disease processes. The design and implementation of an ACS service can impact the magnitude of effect.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.007 | 0.008 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".