Managing bowel obstruction in ovarian cancer using a percutaneous endoscopic gastrostomy (PEG) tube
Bibliographic record
Abstract
An estimated 2,500 women were diagnosed with and 1,500 died from ovarian cancer in Canada in 2002. Up to 42% of patients in the palliative phase develop a malignant bowel obstruction. Options for management include medical therapy, surgery, and/or a percutaneous endoscopic gastrostomy (PEG) tube. The objective of this quality improvement study was to: 1) examine if successful palliation was achieved using a PEG tube, and 2) identify opportunities to improve the quality of nursing care provided. A retrospective review of 24 patient records revealed that 75% did not have nausea/vomiting by time of discharge; 92% resumed a clear fluid diet; 83% were discharged from the acute care setting; and 70% did not require re-admission. A PEG tube may effectively palliate women with non-operable bowel obstruction in advanced/recurrent cancer of the ovary. Opportunities for improving care are presented.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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".