Non-Operative Management of Type 2 ERCP-Related Retroperitoneal Duodenal Perforations: A 9-Year Experience From a Single Center
Bibliographic record
Abstract
BACKGROUND: No consensus exists on treatment of endoscopic retrograde cholangiopancreatography (ERCP) -related, retroperitoneal duodenal perforations. The aim of this study is to determine the incidence of post-ERCP retroperitoneal periampullary (type 2) duodenal perforations and the clinical outcome of non-surgical management. METHODS: Patients who underwent ERCP in our institution during the period from January 1, 2009 to December 31, 2017 were included. Any cases of retroperitoneal periampullary duodenal (type 2) perforation were identified. Relevant data (patient characteristics, indications, radiographic findings, time to diagnosis and surgery, surgical procedures, hospital stay and outcome) were retrospectively collected and reviewed. Results were compared to those from the existing literature. RESULTS: There were 24 patients with retroperitoneal type 2 duodenal perforation following 4,196 ERCPs were identified (24/4196, 0.57%) over the 9-year period. ERCP indications were: choledocholithiasis, obstructive jaundice and ampullectomy (ampullary adenoma). Diagnosis (aided by CT scan) was established within the first 12 h in the majority of patients (21/24, 87.5%) and intraprocedural in 3/24, (12.5%). Twelve patients (50%) with deteriorating clinical course were managed with CT-guided percutaneous drainage. Surgical intervention was required in two (8.3%). Overall mortality was 4.2%, 1/24 (one patient died after surgery). CONCLUSIONS: Retroperitoneal duodenal perforation is a rare and severe ERCP complication. However, conservative management is feasible in the majority of cases.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 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".