Development and preliminary validation of the pancreatic cancer disease impact score
Bibliographic record
Abstract
OBJECTIVE: Patient-reported outcomes are important for clinical practice and research, and should reflect what patients perceive as important. The objective of this study was to develop and preliminarily validate a brief, patient-derived, disease-specific tool, the pancreatic cancer disease impact (PACADI) score. METHODS: The development was performed in two phases. Forty-one patients with confirmed pancreatic cancer (PC) selected dimensions of health related to the impact of the disease. A weighting of the eight most frequently reported dimensions was performed in a second sample of 80 PC patients who also rated the impact on eight numeric rating scales (NRS, range 0 to 10). The relative weights and the scores from the NRS were used to compute the PACADI score (range 0 to 10). The patients also completed Edmonton Symptom Assessment System (ESAS) and EQ-5D. RESULTS: Dimensions reported by more than 20% of the patients were included in the PACADI score (relative weights in parenthesis): pain/discomfort (0.16), fatigue (0.16), anxiety (0.15), bowel/digestive problems (0.14), loss of appetite (0.13), dry mouth (0.11), itchiness (0.08), and nausea (0.07). The PACADI score in the 80 PC patients had a mean (SD) value of 3.26 (2.06) (95% CI 2.80, 3.71), was moderately to strongly correlated to ESAS sense of well-being (r = 0.69) and EQ-5D (r = -0.52), and discriminated significantly between patients with and without PC. CONCLUSION: The PACADI score is a new eight-item, patient-derived, disease-specific measure. Preliminary validation regarding construct validity and discrimination encourages further validation in independent patient samples.
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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) | 0.000 | 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 | 0.000 |
| 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".