Initial treatment is associated with improved survival and end-of-life outcomes for patients with pancreatic cancer: a cohort study
Bibliographic record
Abstract
BACKGROUND: We describe the association between initial treatment and end-of-life (EOL) outcomes among patients with pancreatic ductal adenocarcinoma (PDAC). METHODS: This population-based cohort study included patients with PDAC who died from April 2010-December 2017 in Ontario, Canada using administrative databases. We used multivariable models to explore the association between index cancer treatment (no cancer-directed therapy, radiation, chemotherapy, surgery alone, and surgery and chemotherapy), and primary (mortality, healthcare encounters and palliative care) and secondary outcomes (location of death, hospitalizations, and receipt of chemotherapy within the last 30 days of life). RESULTS: In our cohort (N = 9950), 56% received no cancer-directed therapy, 5% underwent radiation, 27% underwent chemotherapy, 7% underwent surgery alone, and 6% underwent surgery and chemotherapy. Compared to no cancer-directed therapy, radiation therapy (HR = 0.63), chemotherapy (HR = 0.43) surgery alone (HR = 0.32), and surgery and chemotherapy (HR = 0.23) were all associated with decreased mortality. Radiation (AMD = - 3.64), chemotherapy (AMD = -6.35), surgery alone (AMD = -6.91), and surgery and chemotherapy (AMD = -6.74) were all associated with fewer healthcare encounters per 30 days in the last 6 months of life. Chemotherapy (AMD = -1.57), surgery alone (AMD = -1.65), and surgery and chemotherapy (AMD = -1.67) were associated with fewer palliative care visits (all p-values for estimates above < 0.05). Treatment groups were associated with lower odds of institutional death and hospitalization at EOL, and higher odds of chemotherapy at EOL. CONCLUSIONS: Receiving cancer-directed therapies was associated with higher survival, fewer healthcare visits, lower odds of dying in an institution and hospitalization at EOL, fewer palliative care visits, and higher odds of receiving chemotherapy at EOL.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| 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".