Risk attribution — Jeanette Bailey
v1.0 · cal 2026-05-22Component breakdown showing every feature that contributed to this patient's risk score.
Computed score
100
Group J · Stage IV / progressing
Stored A–J score
94
Group J · Stage IV / progressing
Score buildup
Baseline 5 + +153 positive = 100
Demographic
Subtotal +5- +5
Age ≥ 70
Advanced age is an independent risk factor for PDAC.
Evidence: Current age 85· Threshold: 70 years
Symptom
Subtotal +26- +14
Abdominal pain at age ≥ 50
Unexplained abdominal pain in a patient over 50 warrants pancreas evaluation.
Evidence: Onset 2023-02-19· Triggers PANDA group C
- +12
Weight loss at age ≥ 50
Unintentional weight loss after 50 raises concern for occult malignancy.
Evidence: Onset 2023-03-01
Comorbidity
Subtotal +13- +13
Has chronic condition(s)
Chronic disease burden warrants ongoing surveillance.
Evidence: 4 active conditions
Imaging
Subtotal +10- +10
CT of abdomen on record
Imaging suggests the patient has been worked up for pancreatic concern.
Evidence: CT on 2023-09-03
Procedure
Subtotal +42- +20
EUS performed
EUS is the highest-resolution modality for sub-cm pancreatic lesions; performance implies clinical concern.
Evidence: Endoscopic ultrasonography of pancreas on 2023-06-21· Triggers PANDA group G
- +22
Tissue diagnosis procedure
Biopsy or resection indicates definitive workup or treatment.
Evidence: EUS-guided fine needle aspiration of pancreas on 2023-06-24
Pathology
Subtotal +25- +25
Pancreatic tumor confirmed
Confirmed pancreatic malignancy is the defining factor for groups H–J.
Evidence: Malignant neoplasm of head of pancreas· Triggers PANDA group H
Treatment
Subtotal +20- +20
Active chemotherapy
Active cytotoxic therapy implies confirmed malignancy with treatment intent.
Evidence: Gemcitabine 1000 MG/M2 Injection, Nab-paclitaxel 125 MG/M2 Injection· Triggers PANDA group I
Response
Subtotal +12- +12
Patient deceased
Score retained for cohort/historical analytics; treatment intent is post-mortem.
Evidence: Death recorded 2000-08-05
The Risk Engine computed group (J) is derived purely from the feature contributions above. The stored A–J group (J) comes from the cascade classifier in scripts/classify-risk.ts. Divergence between the two indicates a classifier rule that the scoring weights haven't captured, or vice versa — useful for calibration.