Time to operating room matters in modern management of pancreatic injuries: A national review on the management of adult pancreatic injury at Canadian level 1 trauma centers
Bibliographic record
Abstract
BACKGROUND: Pancreatic injuries are rare, difficult to diagnose, and complex to manage despite multiple published guidelines. This study was undertaken to evaluate the current diagnosis and management of pancreatic trauma in Canadian trauma centers. METHODS: This is a multi-institutional retrospective study from 2009 to 2014 including patients from eight level 1 trauma centers across Canada. All patients with a diagnosis of pancreatic trauma were included. Demographics, injury characteristics, vital signs on admission, and type of management were collected. Outcomes measured were mortality and pancreas-related morbidity. RESULTS: Two hundred seventy-nine patients were included. The median age was 29 years (interquartile range, 21-43 years), 72% were male, and 79% sustained blunt trauma. Pancreatic injury included the following grades: I, 26%; II, 28%; III, 33%; IV, 9%; and V, 4%. The overall mortality rate was 11%, and the pancreas-related complication rate was 25%. The majority (88%) of injuries were diagnosed within 24 hours of injury, primarily (80%) with a computed tomography scan. The remaining injuries were diagnosed with ultrasound (6%) and magnetic resonance cholangiopancreatography (MRCP) (2%) and at the time of laparotomy or autopsy (12%). One hundred seventy-five patients (63%) underwent an operative intervention, most commonly a distal pancreatectomy (44%); however, there was great variability in operative procedure chosen even when considering grade of injury. CONCLUSION: Pancreatic injuries are associated with multiple other injuries and have significant morbidity and mortality. Their management demonstrates significant practice variation within a national trauma system. LEVEL OF EVIDENCE: Therapeutic/care management, level V; Prognostic and epidemiological, level IV.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".