Patients’ perceptions of palliative surgical procedures: a qualitative analysis
Bibliographic record
Abstract
BACKGROUND: Patients with incurable malignancies can require surgical intervention. We prospectively evaluated patients treated with palliative surgery to qualitatively assess peri-operative outcomes. METHODS: Eligible patients were assessed at a tertiary care cancer center. Demographic information and peri-operative morbidity and mortality were collected. Semi-structured qualitative interviews were obtained pre-operatively and post-operatively (1 month). Qualitative evaluation was performed using content analysis and an inductive approach. RESULTS: Twenty-eight patients were approached and 20 consented to interview. Data saturation was achieved after 14 patients. Median patient age was 58% and 56% were female. Peri-operative morbidity and mortality were 44% and 22%, respectively. "No other option" was seen as a dominant pre-operative theme (14 of 18). Other pre-operative themes included a "poor understanding of prognosis and the role of surgery in overall treatment plan". Post-operative themes included a "perceived benefit from surgery" and "satisfaction with decision-making", notwithstanding significant complications. Improved understanding of prognosis and the role of surgery were described post-operatively. CONCLUSIONS: Despite limited options and a poor understanding of prognosis, many patients perceived benefit from palliative surgery. However, peri-operative mortality was substantial. A robust and thorough patient-centered discussion about individual goals for surgery should be undertaken by surgeon, patient and family prior to embarking on a palliative operation.
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 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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| 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 teacher head, 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".