Percutaneous endoscopic gastrostomy tube placement for end-stage palliation of malignant gastrointestinal obstructions
Bibliographic record
Abstract
BACKGROUND/AIM: Decompression of malignant gastrointestinal obstructions is an uncommon indication for percutaneous endoscopic gastrostomy (PEG) tubes. The purpose of this study is to determine the efficacy of venting PEG tubes in relieving nausea and vomiting and assessing complications associated with tube placement. PATIENTS AND METHODS: This study is a retrospective chart review of patients with PEG tubes placed to decompress malignant gastrointestinal obstructions between January 2005 and September 2010 by the gastroenterology service at our institute. Patient demographics, symptom relief, procedural complications, diet tolerability and home palliation were reviewed. RESULTS: Seven PEG tubes were inserted to decompress malignant gastrointestinal obstructions. The mean patient age was 62 years (range 37-82 years). The underlying primary malignancies were small intestine (1), appendiceal (1), pancreatic (2), and colon (3) cancer. Gastric outlet obstruction was present in 3 (43%) patients while small bowel obstruction occurred in 4 (57%) patients. There was relief of nausea and vomiting in 6 (86%) patients. Procedural complications were present in 1 (14%) patient and involved superficial cellulitis followed by peristomal leakage. Patients with gastric outlet obstruction continued to have limited oral intake while patients with small bowel obstruction tolerated varying degrees of oral nutrition. Six (86%) patients were discharged home after PEG tube placement, but only 2 (33%) were able to undergo end-stage palliation at home without re-admission for hospital palliation. CONCLUSIONS: Venting PEG tubes significantly reduce the symptoms of nausea and vomiting in patients with metastatic gastrointestinal obstruction due to primary gastrointestinal malignancies. Complications associated with tube placement were minimal.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".