Implementation of an Acute Care Surgery Service Facilitates Modern Clinical Practice Guidelines for Gallstone Pancreatitis
Bibliographic record
Abstract
BACKGROUND: Current practice guidelines for management of gallstone pancreatitis (GSP) recommend early cholecystectomy for patient stabilization and bile duct clearance, preferably at index admission. Historically, this has been difficult to achieve due to lack of emergency surgical resources. We investigated whether implementation of an acute care surgery (ACS) model would allow better adherence to current practice guidelines for GSP. STUDY DESIGN: A retrospective review was conducted of all patients admitted with the diagnosis of GSP to 2 tertiary care university teaching hospitals from January 2002 to October 2013. Diagnosis was confirmed on review of clinical, biochemical, and radiographic criteria. Patients were divided into pre-ACS (2002 to 2009) and post-ACS (2010 to 2013) eras. Only 1 of the 2 hospitals implemented an ACS service in the latter era. Data were collected on demographics, admissions, cholecystectomy timing, and emergency department visits. RESULTS: Before implementation of an ACS service, the rate of index cholecystectomy was 3% at both hospital sites. The rate of index cholecystectomy increased significantly with the addition of ACS, from 2.4% to 67% (p < 0.001). The presence of an ACS team was highly predictive of index cholecystectomy (odds ratio = 10.4; 95% CI 2.0 to 55.1). Patients who did not undergo cholecystectomy during the index admission had an overall readmission rate of 24.9% at both sites. In the ACS hospital, repeat emergency department visits decreased from 24.8% to 8.3% (p < 0.001) and readmission rate decreased from 16.8% to 7.3% (p = 0.04) in the pre-and post-ACS eras, respectively. CONCLUSIONS: Implementation of an ACS service resulted in a higher rate of index cholecystectomy and decreased emergency department visits and readmissions for biliary disease, and allowed for increased adherence to clinical practice guidelines for GSP.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.010 | 0.042 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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".