Complicating factors in the management of advanced Bouveret syndrome in frail and medically complex patients
Bibliographic record
Abstract
INTRODUCTION: Bouveret Syndrome is a rare but important variant of gallstone ileus with high potential for morbidity and mortality. Bouveret syndrome is a complication of gallstone disease resulting from chronic inflammation and subsequent fistulization between the gallbladder and duodenum or stomach with subsequent impaction of the stone in the proximal GI tract. Here we present a case in an elderly man with moderate medical comorbidities. PRESENTATION OF CASE: An elderly man presented to the hospital with symptoms of gastrointestinal obstruction. Upon further diagnostic work-up, he was noted to have a 5.8 cm gallstone impacted in his proximal GI tract and thus diagnosed with a rare variant of gallstone ileus-Bouveret syndrome. DISCUSSION: The therapeutic goal in approaching Bouveret syndrome is removal of the stone and improvement in obstruction and cholangitis. This may be accomplished with surgery or endoscopic therapy-although this may be less effective. Bouveret syndrome may have high morbidity. CONCLUSION: Bouveret syndrome is a rare but potentially serious syndrome that should be managed accordingly. It should remain on the differential diagnosis of an elderly patient presenting with gastrointestinal obstructions, particularly if there is a history of gallstone disease and concern for proximal GI obstruction.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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".