A multicenter trial of current trends in the diagnosis and management of high-grade pancreatic injuries
Bibliographic record
Abstract
BACKGROUND: Outcomes following pancreatic trauma have not improved significantly over the past two decades. A 2013 Western Trauma Association algorithm highlighted emerging data that might improve the diagnosis and management of high-grade pancreatic injuries (HGPIs; grades III-V). We hypothesized that the use of magnetic resonance cholangiopancreatography, pancreatic duct stenting, operative drainage versus resection, and nonoperative management of HGPIs increased over time. METHODS: Multicenter retrospective review of diagnosis, management, and outcomes of adult pancreatic injuries from 2010 to 2018 was performed. Data were analyzed by grade and time period (PRE, 2010-2013; POST, 2014-2018) using various statistical tests where appropriate. RESULTS: Thirty-two centers reported data on 515 HGPI patients. A total of 270 (53%) had penetrating trauma, and 58% went directly to the operating room without imaging. Eighty-nine (17%) died within 24 hours. Management and outcomes of 426 24-hour survivors were evaluated. Agreement between computed tomography and operating room grading was 38%. Magnetic resonance cholangiopancreatography use doubled in grade IV/V injuries over time but was still low.Overall HGPI treatment and outcomes did not change over time. Resection was performed in 78% of grade III injuries and remained stable over time, while resection of grade IV/V injuries trended downward (56% to 39%, p = 0.11). Pancreas-related complications (PRCs) occurred more frequently in grade IV/V injuries managed with drainage versus resection (61% vs. 32%, p = 0.0051), but there was no difference in PRCs for grade III injuries between resection and drainage.Pancreatectomy closure had no impact on PRCs. Pancreatic duct stenting increased over time in grade IV/V injuries, with 76% used to treat PRCs. CONCLUSION: Intraoperative and computed tomography grading are different in the majority of HGPI cases. Resection is still used for most patients with grade III injuries; however, drainage may be a noninferior alternative. Drainage trended upward for grade IV/V injuries, but the higher rate of PRCs calls for caution in this practice. LEVEL OF EVIDENCE: Retrospective diagnostic/therapeutic study, level III.
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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 | 0.008 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".