Sleeve gastrectomiát (csőgyomor kialakítását) követően kialakult kapocssor-elégtelenség megoldása endoszkópos varrattal és sztentbeültetéssel
Bibliographic record
Abstract
Sleeve gastrectomy has been the most commonly performed metabolic surgical procedure in recent years. One of its rare but serious postoperative complications is staple line leak. Due to the high intraluminal pressure within the gastric sleeve, its management is technically challenging. Over time, treatment strategies have shifted from surgical approaches toward interventional radiologic and endoscopic techniques. In this case report, we present a 37-year-old female patient who underwent sleeve gastrectomy for morbid obesity. Postoperatively, she developed abdominal symptoms prompting a CT scan, which initially revealed a perigastric hematoma. This was drained by interventional radiology. Following drain removal and a brief period of clinical improvement, her symptoms recurred. A repeat CT scan demonstrated contrast extravasation and a collection adjacent to the staple line. A new percutaneous drain was inserted via interventional radiology. She was then referred to our bariatric unit, where the defect was definitively closed using endoscopic suturing system under general anesthesia, followed by placement of a self-expanding metal stent. The stent was well tolerated, with no migration. After 5 weeks, it was successfully removed. A subsequent CT scan showed no further contrast leak. The patient is currently asymptomatic, satisfied with her weight loss trajectory and quality of life. This case highlights that the management of staple line leaks after sleeve gastrectomy has evolved, with less invasive methods – such as interventional radiology and endoscopy – and their combination now playing a central role in treatment. Orv Hetil. 2025; 166(46): 1827–1832.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.004 |
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; both teacher heads agree on what is shown here.
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".