Quality of life and satisfaction with care in a contemporary cohort of pancreatic cancer patients.
Bibliographic record
Abstract
e21623 Background: Pancreatic cancer patients face significant disease- and treatment-related morbidity while management is frequently complex. With recent advances in radiation and surgery and the introduction of new systemic therapy regimens, understanding these patients’ quality of life (QOL) and their satisfaction with the care that they currently receive is essential to inform the design of future care delivery models. Methods: Pancreas Centre BC was established in British Columbia in 2012 to promote efficient triage, rapid access to multidisciplinary care, and early involvement of palliative care, if necessary. Consecutive pancreatic cancer patients who were referred to and seen at Pancreas Centre BC completed the EORTC-QLQ C30 and PAN26 questionnaires before and after surgery as well as surveys focused on the levels of satisfaction with their disease management. Using independent samples t-tests, we correlated clinical characteristics with QOL and satisfaction scores. Results: In total, 167 patients were included: median age was 63 years, 45% were men, and 70% were ECOG 0/1. The majority had early stage disease (78%), pancreatic head tumors (53%), adenocarcinoma histology (68%), and adjuvant gemcitabine (75%). Baseline mean QOL scores were 63, 90, 83, 58 and 92 (out of 100) in the overall, physical, emotional, cognitive and social domains, respectively. Advanced age ( > 70 years), weight loss ( > 10 kg), and poor ECOG were independently associated with lower overall QOL rating (all p > 0.05). Surgery had a positive impact on all functional domains where we observed a mean improvement in QOL scores ranging from 8 to 17 points (all p > 0.05). In terms of satisfaction, 94% of patients rated their overall care as good to excellent. Likewise, 80% of patients were very or mostly satisfied with the amount of information they received and 84% of patients rated the healthcare information they received as very or mostly helpful. Conclusions: Despite the morbidity of pancreatic cancer, patients referred to and seen at a tertiary pancreatic cancer center reported good QOL and satisfaction levels, suggesting that the centralization of pancreatic cancer care may be an effective model to address the high priority needs of this population
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".