Buried Bumper Syndrome: A Case Report of a Rare Complication of Percutaneous Endoscopic Gastrostomy
Bibliographic record
Abstract
Percutaneous endoscopic gastrostomy (PEG) is thought to be a, relatively, safe procedure with a low rate of complications. Buried bumper syndrome (BBS) is the migration of the internal fixation device of PEG (bumper) out of the stomach and consists of a major and, usually, late complication with potentially lethal results. We present a case of such complication resulting in an extended anterior abdominal wall necrosis. An 87-year-old woman with a PEG placement 6 months before, due to Alzheimer’s disease and inability of oral feeding, presented in a severe septic condition and with necrotic inflammation of the abdominal wall. Computerized tomography confirmed the migration of internal bumper subcutaneously. Excision of the gastrostomy and surgical debridement was performed, but, due to the patient’s deteriorated condition, she died after 24 hours. PEG is ideal for patients with swallowing deficiencies, but severe complications may occur. Prevention and initiate diagnosis of the BBS are important for an early treatment, in order to avoid such severe complications. J Med Cases. 2016;7(8):331-333 doi: http://dx.doi.org/10.14740/jmc2569w
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.007 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".