Trans-Hepatic Percutaneous Endoscopic Gastrostomy Tube Placement: A Case Report of A Rare Complication and Literature Review
Bibliographic record
Abstract
Percutaneous endoscopic gastrostomy (PEG) tubes have emerged as the standard of care for long-term enteral feeding. This procedure is relatively safe; however, complications do occur, and one of the most dreaded complications is trauma to the surrounding organs. Hepatic injury during PEG placement is an extremely rare complication of the PEG procedure, with a handful of cases described in the medical literature. We describe the case of an accidental trans-hepatic placement of a PEG tube in a 78-year-old morbidly obese female, even with excellent trans-illumination and manual external pressure achieved during endoscopic placement. Post-procedure, cross-sectional imaging of the abdomen showed a gastrostomy tube traversing the lateral margin of the liver with adjacent small hematoma. Physical exam was unremarkable for abdominal tenderness or guarding/rigidity, and no blood or drainage was noted at the site of PEG insertion. Enteral nutrition was started after 24 h of PEG tube insertion and patient tolerated well with no complications. The patient was discharged to a nursing home but unfortunately died the following week to an unknown cause.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.005 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".