Endoscopic Duodenal Stenting for Iatrogenic Stapfer Type I Duodenal Perforation: An Alternative to Surgical Repair
Bibliographic record
Abstract
Endoscopic retrograde cholangiopancreatography (ERCP) is an essential therapeutic tool but carries risks of serious complications, including luminal perforation. Stapfer Type I perforations, involving lateral or medial duodenal wall tears, are traditionally managed surgically with high associated morbidity/mortality. Here, we report the first documented case to our knowledge of an iatrogenic post-dilation Stapfer Type I duodenal perforation successfully managed with placement of a fully covered self-expandable metallic stent (Fc-SEMS). An 87-year-old female with a history of chronic obstructive pulmonary disease, coronary artery disease, hypertension, and hypothyroidism presented with cholestatic transaminitis and suspected biliary obstruction. Endoscopic evaluation during ERCP revealed a pre-ampullary peptic duodenal stricture not traversable with the duodenoscope. Endoscopic dilation with a CRE balloon led to a duodenal perforation and a through-the-scope duodenal Fc-SEMS was deployed bridging the perforation. The patient demonstrated rapid clinical and radiologic improvement, with full recovery and successful stent removal in two months. This case highlights Fc-SEMS as a viable, less invasive alternative to surgery for high-risk patients who have sustained a duodenal perforation.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".