Symptom Burden of Nonresected Pancreatic Adenocarcinoma
Bibliographic record
Abstract
OBJECTIVES: Pancreatic adenocarcinoma (PAC) is a debilitating disease. We sought to analyze symptom burden and trajectories after diagnosis of PAC and identify predictors of severe symptoms for nonresected patients. METHODS: This was a retrospective review of linked administrative health care databases examining patients with PAC not undergoing resection. Primary outcome was severe patient-reported symptoms (Edmonton Symptom Assessment System ≥7). Multivariable modified Poisson regression models were used to identify factors associated with reporting severe symptoms. RESULTS: A total of 10,753 symptom assessments from 2168 patients were analyzed. The median age was 67 years, and 47% were female; median survival was 7 months. Most common severe symptoms were tiredness (54.7%), anorexia (53.6%), overall impaired well-being (45.3%), and drowsiness (37.1%). Severity of symptoms decreased 1 month after diagnosis and plateaued 4 months after diagnosis. Female sex, comorbidities, and older age were associated with reporting severe symptoms; recent radiation treatment and residence in a rural community were associated with reporting less severe symptoms. CONCLUSIONS: The prevalence of severe symptoms in patients with nonresected PAC was high, but potentially modifiable. We identified vulnerable groups of patients that may benefit from focused interventions. This information is important for patient counseling and design of supportive care strategies.
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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 | 0.001 | 0.003 |
| 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) | 0.002 | 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".