Clinicopathological features of pancreatic cancer-related diabetes.
Bibliographic record
Abstract
675 Background: Epidemiological studies suggest pancreatic ductal adenocarcinoma (PDAC) may be strongly interrelated with diabetes. However, little is known about the clinicopathological features of pancreatic cancer related diabetes. Methods: A retrospective chart review was undertaken of all patients with advanced PDAC treated with at least one cycle of palliative chemotherapy at BC Cancer, Vancouver between Jan 2012- Dec 2015. Diagnosis of diabetes was determined by consultation documentation and/or fasting glucose > 7mmol/L or HbA1c > 48mmol/L. Peripancreatic diabetes is defined as diabetes diagnosis < 3 years prior to PDAC diagnosis. Results: 578 patients were identified with median age 66 (49-81), 54.6% male, 39.5% non-smoker and 63.5% ECOG 0/1. 27.3% confirmed diabetics, of which 75.8% (119/157) have peripancreatic diabetes. At initial diagnosis, 11.2% were deemed upfront resectable, 44.0% borderline/locally advanced, and 55.1% metastatic. Median overall survival (OS) for the cohort based on stage of disease at initial diagnosis for borderline, locally advanced and metastatic was 22 months (16.1-27.9), 12 months (10.1-13.9) and 6 months (5.0-7.0) respectively. There was no association with diabetes status and OS noted (p = 0.58). Statistical differences were noted in BMI (24.1 v 26.1, p = 0.003), and proportion of Charlson comorbidity index (CCI) of 2 (2.2 v 88.3%, p < 0.01) between non-diabetic and diabetic patients respectively. Statistical difference between peripancreatic diabetes compared to long-term diabetes were noted in resectable status (18.6 v 7.6%, p = 0.048), weight loss > 2kg (78.6 v 60.5%, p = 0.035), hypertension (25.9 v 59.8%, p = 0.002) and dyslipidemia (18.5 v 42.7%, p = 0.024). Conclusions: The majority of patients diagnosed with advanced PDAC with diabetes appeared to develop diabetes within 3 years prior to diagnosis. Further studies to assess the potential role of pancreatic cancer screening investigations in newly diagnosed diabetics are warranted.
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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 | 0.000 | 0.001 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".