The Experience of Head and Neck Cancer Patients With a Percutaneous Endoscopic Gastrostomy Tube at a Canadian Cancer Center
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Many patients with advanced head and neck cancer become unable to obtain sufficient nutrition and hydration orally, leading to considerable weight loss and compromised clinical outcomes. The percutaneous endoscopic gastrostomy (PEG) tube is ideal for this population who require longer term nutrition support due to the effects of cancer treatment. Although clinical experts at the Odette Cancer Centre (OCC) report positive patient feedback with PEG tubes, there is debate in the literature regarding the associated quality of life (QoL). The study objective was to learn about the experience of patients living with a PEG tube. MATERIALS AND METHODS: A neutral questionnaire with closed- and open-ended questions was developed, tested, and used to collect data. Quantitative data were analyzed using descriptive statistics to determine whether the patients' experiences were positive/neutral or negative. Qualitative data were assessed for common themes, and frequency was counted. RESULTS: Of the 51 participants, 84% felt the PEG tube had a positive/neutral effect on their QoL. Ninety percent felt that the PEG tube was "very much" or "quite a bit" worthwhile. In addition, 96% would recommend it to another patient. The 11 questions reflecting domains of QoL affected by living with a PEG tube were answered positively or neutrally at least 71% of the time. CONCLUSION: Results indicate that the patient experience with the PEG tube is generally positive or neutral, thus demonstrating a different outcome than recent literature. This study will help improve understanding regarding the experience of living with a PEG tube from the patient perspective.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it