Pancreatic Cancer and Diabetes: Insights, Hypotheses, and Next Steps
Bibliographic record
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is frequently associated with new-onset diabetes (NOD) in adults aged ≥ 50 years. Accordingly, NOD may serve as an early clinical marker for PDAC, although the causal links remain incompletely defined. This review synthesises clinical and experimental evidence into an islet-centric view in which tumour-derived signals and microenvironmental changes impair β-cell insulin secretion and disrupt α- and δ-cell regulation. We distinguish findings established in PDAC from mechanisms inferred from islet physiology and systemic metabolism. Key uncertainties include the timing of systemic versus local drivers, the clinical relevance of tumour-derived signals in driving dysglycaemia, the status of endocrine cell signalling and endocrine-exocrine crosstalk, and the effects of microvascular and matrix changes on endocrine-vascular exchange. This synthesis highlights mechanisms that remain incompletely defined and prioritises areas for further research.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".